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On July 15 2025 19:31 PremoBeats wrote:Show nested quote +On July 15 2025 17:32 Charoisaur wrote:On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: but at the same time, it doesn't wank itself into a corner by bias after bias This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes. If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier... No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. Well said rwala's reply consists mostly of straw men, false comparisons and already addressed arguments... what exactly do you think is well said about it? Show nested quote +On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: but at the same time, it doesn't wank itself into a corner by bias after bias This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes. If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier... No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. It is not rhetorical to say that I penalized Serral, because I did: 1a. Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote that I did not include this correction, which is detrimental to Serral? 1b. Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? 2. In the article - as well as multiple times in the other thread (and even in the very post you commented on and directly to you in the other thread!!) I explained that this weighting was proposed by ChatGTP. I still don't understand why you keep pounding on that, tbh. As WombaT wrote out in the other thread, the weighting is entirely superfluous. The most important revelation was that most players have mixed results, while Serral is dominating them all. You make it seem like the weighting was there to push Serral, which is not the case. You have no proof for this accusation. On the contrary, I posted the exact text that I used to let ChatGTP decide on the weighting, to let you guys double check. I only did so because I knew based on the results, that the weighting does not change in the first place and I couldn’t decide on a specific weighting, which I explained ad nauseam in the article as well as in the comments. First place would only change with an insane weighting-setup for efficiency… then Life (who most people disregard anyway) would be on top, with Serral being 2nd. Arguing with the weighting result is utterly pointless… As this is your (and other critics) biggest point which you all come back to every time, I doubt that is much more substance to gain from you guys. 3a. In the tournament win %, similar to most metrics, I discounted all region-locked tournaments. This is a penalty to Serral, although a needed one to deny his easier tournament wins. But still it is a penalty; especially to deny them entirely, as Korean pros had rather easy tournament wins as well. 3b. You might disagree that the bonus is not enough according to your subjective feeling. My reasoning for using 20%: I explained in detail why a larger player pool, especially in mostly tier 2, 3 and 4 players, would not decrease a tournament win percentage that much. - doubling the player pool would most likely mean just one extra round. If that round was a group stage, it would naturally mean that you’d have to play more lower tier player statistically, boosting your match win rate - I reasoned that this fact means that average place would need a higher era-multiplier than tournament win percentage - Now looking at Serral’s average win rate of around 82% in his years from 2018-2024 subtracted with 2% (some lower match win for era but also considering that his win rates are deflated versus the Koreans because of 1a, also taking into account that earlier group stages are easier to win than knockout brackets), these more rounds would mean a win probability of roughly 80%. As an example: going from 4 rounds to 5 rounds would statistically mean a win probability dropping from 40% to 33%, meaning a loss of 17,5% or a boost of 21,2%. - Now, comparing DH 2020 to a GSL or SSL 2013: Not all tournaments that other players have won were a GSL though. What about the 2013 Hot6ix Cup or ASUS ROG NorthCon? And didn’t Serral win uberly stacked tournaments as well? You are committing a false equivalence/improper comparison fallacy here. In essence, you are right that one can’t compare a GSL to a DH. But that is also not what I did. There were not only GSLs in 2013 (as a matter of fact, there was only one) and Serral won more stacked tournaments as well. It also borders on a strawman, as my approach was not designed to precisely reflect the odds between only one of the hardest 2013 tournaments vs a specific 2020 event, but rather roughly corrects across periods. - Do you further realize that arguing like this from an era/period-perspective also argues against Rogue’s and Maru’s case? - What adjustment would you find appropriate? Overall it is rather the modern Koreans that benefitted in this metric, as Serral, Clem and mostly Reynor were missing in the GSLs that they won. Of course Serral wouldn’t have the same tournament win percentage had he been a full-time pro at his peak playing in the prime era. But the win percentages of INno, Rain, etc. would drop as well, had Mvp, Serral and Clem played there. I explained this already in the article. “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? This would be much more fruitful if you didn’t try to rely on notions like my method was not statistical, keep using arguments that have been addressed or straight out deny that Serral was penalized on several occasions, which he clearly was. Talk about the points ratio in the tournaments or the era-multiplier or your preferred weighting. Or - as you by your own account don’t care for statistical GOAT debates anyway - simply stay out of them. But making unsubstantiated accusations like me making a Serral GOAT-calculator or repeating the same already addressed notions is absolutely ridiculous.
Again, your criteria modifiers are either neutral, bonuses, or penalties to Serral depending on whether they serve as an appropriate baseline compared to expectations. I thought you understood this and were purposefully obscuring the point, but maybe you just don't understand?
You gave a 20% bonus for every year pre-2018 in your tournament win %. What this resulted in was at most a 5% increase for players like Life, but for others it was negligible. The question then becomes, for the Korean pros, who mostly participated in GSL and other KILs that were extremely hard to win, does this account for the expected differential in tournament win %? I don't think it does, and I don't think most people who have followed professional SCII think it does. I just want to be clear about your model, because it's important to admit the pro-Serral bias. You literally are saying that the odds of any pro winning the GSL in 2018 are the same as the odds of winning a Dreamhack masters event.
Like I said, your model is full of these (deliberate?) confusions in which you claim you are penalizing Serral but you are actually giving him huge bonuses. It's common sense, because the only way you get to Serral = 5X the GOAT of Rogue is by giving him bonuses. Again, it's time to stop pretending you are objective about this. It's really super obvious to everyone you are not.
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On July 16 2025 02:14 PremoBeats wrote:Show nested quote +On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result?
I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this?
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Northern Ireland25283 Posts
On July 16 2025 23:19 rwala wrote:Show nested quote +On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Why are you assuming that the ranking score = Serral being 5x better than Rogue?
Sabalenka in women’s tennis is close to double the points of Swiatek in the current WTA rankings. But nobody takes that to mean that she’s twice as good at tennis right now.
Serral having 5x more points on weighting doesn’t equal a claim that he’s 5x the GOAT.
Premo showed their numbers, if you disagree with the weighting then the option is there to do your own.
If we’re going off numbers and stats, I don’t see any way to crown Rogue the GOAT that isn’t specifically designed to do that. He wasn’t a competitive tournament contender in the Kespa era, and he wasn’t as consistent, nor won as much as Serral or Maru in the post-Kespa era.
If you took someone who understood how competitive games function, who knew nothing of StarCraft and got them to model it, they’ll pick similar metrics to Premo. Because outside of vibes that is literally how you figure out who the most consistently dominant player is.
They won’t be able to account for the eras and whatnot specific to SC2’s history, which does complicate things.
But the idea that these are Serral biased is beyond absurd. Tournaments won, tournaments won versus entries, average placement, overall win percentage and time spent as #1 in a ranking system are literally how GOATs are determined in every individual sport I follow, alongside intangibles of course.
Stats aren’t biased towards Serral, he’s overwhelmingly the best in so many metrics that, if you want to determine a GOAT based on stats without adjustment he just wins, easily. If you want to make reasonable adjustments to factor in a shifting scene, it’s still very hard to lock him out, but a case can be made. Another option is to go on vibes and intangibles, alongside or instead of stats. Which I’ve said many times I’m absolutely fine with, greatness isn’t necessarily ‘the best’, it’s coming in clutch, it’s breaking new ground etc.
I’m ok with both approaches, on record as such many times. But if one is going to criticise Premo’s methodology then suggest an actual alternative. He’s showed his working on plenty of metrics, so one doesn’t even have to do the busy work.
It’s also a bit laughable to me that we’re even going back to criticise Premo’s effort in a thread where an alternate attempt was assigning arbitrary multipliers as high as 4x and had the (statistically) greatest SC2 player at 11th
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United States1871 Posts
On July 17 2025 00:16 WombaT wrote:Show nested quote +On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Why are you assuming that the ranking score = Serral being 5x better than Rogue? Sabalenka in women’s tennis is close to double the points of Swiatek in the current WTA rankings. But nobody takes that to mean that she’s twice as good at tennis right now. Serral having 5x more points on weighting doesn’t equal a claim that he’s 5x the GOAT. Premo showed their numbers, if you disagree with the weighting then the option is there to do your own. If we’re going off numbers and stats, I don’t see any way to crown Rogue the GOAT that isn’t specifically designed to do that. He wasn’t a competitive tournament contender in the Kespa era, and he wasn’t as consistent, nor won as much as Serral or Maru in the post-Kespa era. If you took someone who understood how competitive games function, who knew nothing of StarCraft and got them to model it, they’ll pick similar metrics to Premo. Because outside of vibes that is literally how you figure out who the most consistently dominant player is. They won’t be able to account for the eras and whatnot specific to SC2’s history, which does complicate things. But the idea that these are Serral biased is beyond absurd. Tournaments won, tournaments won versus entries, average placement, overall win percentage and time spent as #1 in a ranking system are literally how GOATs are determined in every individual sport I follow, alongside intangibles of course. Stats aren’t biased towards Serral, he’s overwhelmingly the best in so many metrics that, if you want to determine a GOAT based on stats without adjustment he just wins, easily. If you want to make reasonable adjustments to factor in a shifting scene, it’s still very hard to lock him out, but a case can be made. Another option is to go on vibes and intangibles, alongside or instead of stats. Which I’ve said many times I’m absolutely fine with, greatness isn’t necessarily ‘the best’, it’s coming in clutch, it’s breaking new ground etc. I’m ok with both approaches, on record as such many times. But if one is going to criticise Premo’s methodology then suggest an actual alternative. He’s showed his working on plenty of metrics, so one doesn’t even have to do the busy work. It’s also a bit laughable to me that we’re even going back to criticise Premo’s effort in a thread where an alternate attempt was assigning arbitrary multipliers as high as 4x and had the (statistically) greatest SC2 player at 11th
All era multipliers are arbitrary.
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On July 16 2025 23:04 rwala wrote:Show nested quote +On July 15 2025 19:31 PremoBeats wrote:On July 15 2025 17:32 Charoisaur wrote:On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: but at the same time, it doesn't wank itself into a corner by bias after bias This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes. If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier... No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. Well said rwala's reply consists mostly of straw men, false comparisons and already addressed arguments... what exactly do you think is well said about it? On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: but at the same time, it doesn't wank itself into a corner by bias after bias This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes. If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier... No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. It is not rhetorical to say that I penalized Serral, because I did: 1a. Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote that I did not include this correction, which is detrimental to Serral? 1b. Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? 2. In the article - as well as multiple times in the other thread (and even in the very post you commented on and directly to you in the other thread!!) I explained that this weighting was proposed by ChatGTP. I still don't understand why you keep pounding on that, tbh. As WombaT wrote out in the other thread, the weighting is entirely superfluous. The most important revelation was that most players have mixed results, while Serral is dominating them all. You make it seem like the weighting was there to push Serral, which is not the case. You have no proof for this accusation. On the contrary, I posted the exact text that I used to let ChatGTP decide on the weighting, to let you guys double check. I only did so because I knew based on the results, that the weighting does not change in the first place and I couldn’t decide on a specific weighting, which I explained ad nauseam in the article as well as in the comments. First place would only change with an insane weighting-setup for efficiency… then Life (who most people disregard anyway) would be on top, with Serral being 2nd. Arguing with the weighting result is utterly pointless… As this is your (and other critics) biggest point which you all come back to every time, I doubt that is much more substance to gain from you guys. 3a. In the tournament win %, similar to most metrics, I discounted all region-locked tournaments. This is a penalty to Serral, although a needed one to deny his easier tournament wins. But still it is a penalty; especially to deny them entirely, as Korean pros had rather easy tournament wins as well. 3b. You might disagree that the bonus is not enough according to your subjective feeling. My reasoning for using 20%: I explained in detail why a larger player pool, especially in mostly tier 2, 3 and 4 players, would not decrease a tournament win percentage that much. - doubling the player pool would most likely mean just one extra round. If that round was a group stage, it would naturally mean that you’d have to play more lower tier player statistically, boosting your match win rate - I reasoned that this fact means that average place would need a higher era-multiplier than tournament win percentage - Now looking at Serral’s average win rate of around 82% in his years from 2018-2024 subtracted with 2% (some lower match win for era but also considering that his win rates are deflated versus the Koreans because of 1a, also taking into account that earlier group stages are easier to win than knockout brackets), these more rounds would mean a win probability of roughly 80%. As an example: going from 4 rounds to 5 rounds would statistically mean a win probability dropping from 40% to 33%, meaning a loss of 17,5% or a boost of 21,2%. - Now, comparing DH 2020 to a GSL or SSL 2013: Not all tournaments that other players have won were a GSL though. What about the 2013 Hot6ix Cup or ASUS ROG NorthCon? And didn’t Serral win uberly stacked tournaments as well? You are committing a false equivalence/improper comparison fallacy here. In essence, you are right that one can’t compare a GSL to a DH. But that is also not what I did. There were not only GSLs in 2013 (as a matter of fact, there was only one) and Serral won more stacked tournaments as well. It also borders on a strawman, as my approach was not designed to precisely reflect the odds between only one of the hardest 2013 tournaments vs a specific 2020 event, but rather roughly corrects across periods. - Do you further realize that arguing like this from an era/period-perspective also argues against Rogue’s and Maru’s case? - What adjustment would you find appropriate? Overall it is rather the modern Koreans that benefitted in this metric, as Serral, Clem and mostly Reynor were missing in the GSLs that they won. Of course Serral wouldn’t have the same tournament win percentage had he been a full-time pro at his peak playing in the prime era. But the win percentages of INno, Rain, etc. would drop as well, had Mvp, Serral and Clem played there. I explained this already in the article. “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? This would be much more fruitful if you didn’t try to rely on notions like my method was not statistical, keep using arguments that have been addressed or straight out deny that Serral was penalized on several occasions, which he clearly was. Talk about the points ratio in the tournaments or the era-multiplier or your preferred weighting. Or - as you by your own account don’t care for statistical GOAT debates anyway - simply stay out of them. But making unsubstantiated accusations like me making a Serral GOAT-calculator or repeating the same already addressed notions is absolutely ridiculous. Again, your criteria modifiers are either neutral, bonuses, or penalties to Serral depending on whether they serve as an appropriate baseline compared to expectations. I thought you understood this and were purposefully obscuring the point, but maybe you just don't understand? You gave a 20% bonus for every year pre-2018 in your tournament win %. What this resulted in was at most a 5% increase for players like Life, but for others it was negligible. The question then becomes, for the Korean pros, who mostly participated in GSL and other KILs that were extremely hard to win, does this account for the expected differential in tournament win %? I don't think it does, and I don't think most people who have followed professional SCII think it does. I just want to be clear about your model, because it's important to admit the pro-Serral bias. You literally are saying that the odds of any pro winning the GSL in 2018 are the same as the odds of winning a Dreamhack masters event. Like I said, your model is full of these (deliberate?) confusions in which you claim you are penalizing Serral but you are actually giving him huge bonuses. It's common sense, because the only way you get to Serral = 5X the GOAT of Rogue is by giving him bonuses. Again, it's time to stop pretending you are objective about this. It's really super obvious to everyone you are not.
Yes, I understand that. That is why I gave explanations in the article and multiple threads how I arrived at the different era-multipliers for different metrics. But one can have a pretty solid approximation based on statistical regression or calculating how your tournament win chances go down at certain match win rates when you add a round or two. So while the multipliers carry some sort of arbitrariness, it can be approximated to a sufficient level (at least in my opinion).
You are committing a fallacy once again if you look only at hard tournaments. Which Korean Pro participated in mostly these tournaments? Can you give an example? And wouldn't your logic be true in the modern era as well, if certain players only participated in tougher tournament formats? Or when the best player of the world was missing? Or the top three? But I still don't see that as a Serral-bias. Because it is not Serral's fault that other contenders from his era were not able to win these potentially "easier" tournaments over him. One could actually reason from this observation, that the Korean Pros win rates are inflated in the tournaments where Serral did not participate. But to address your core critique here: I can incorporate a tournament-multiplier similar to the one in the tournament score here... that's a valid idea. Ooooor: I could incorporate the amount of GSLs since Serral turned full time pro and count them as straight out losses for Serral.. would that make you happy, even though he would still be ahead of Maru and Rogue (That's actually quite an amusing fun fact, don't you think, WombaT )?
And as you seem to dodge certain questions/follow ups, I will post them again to highlight that you are simply not discussing in good faith here: - Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote how I did not include this correction, which is detrimental to Serral? - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote?
And yes, Life - like all other tournament results from pre-2018 got a 20% positive adjustment, which pushed his tournament win percentage by 5%. What exactly is your point here?
On July 16 2025 23:19 rwala wrote:Show nested quote +On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this?
Don't do all of them. Do one more at a time... no worries.
You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save myself time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above.
I also don't hide behind criticism... I incorporated the critique from the last article and I will do so in the new version as well. It is not my fault that you are unable to make proper points (except the thing you mentioned about the 20% era modifier, where you didn't reply to my question what kind of multiplier you would deem acceptable... so tell me your number and how you actually arrived at it, similar to my reasoning).
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On July 17 2025 00:16 WombaT wrote:Show nested quote +On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? But the idea that these are Serral biased is beyond absurd. Tournaments won, tournaments won versus entries, average placement, overall win percentage and time spent as #1 in a ranking system are literally how GOATs are determined in every individual sport I follow, alongside intangibles of course. Good post, especially this part.
While many weightings and parameters used by PremoBeats are open to debate (as is unavoidable), most of the essential criteria applied by him are perfectly reasonable if not necessities in that winning games and tournaments is the supreme aim of any competitor in a sport. Rwala makes it sound as if these criteria were outlandish metrics, but ironically by asserting that statistics about wins favor Serral yet another argument is made for him being the GoaT.
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On July 17 2025 02:12 PremoBeats wrote:Show nested quote +On July 16 2025 23:04 rwala wrote:On July 15 2025 19:31 PremoBeats wrote:On July 15 2025 17:32 Charoisaur wrote:On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: but at the same time, it doesn't wank itself into a corner by bias after bias This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes. If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier... No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. Well said rwala's reply consists mostly of straw men, false comparisons and already addressed arguments... what exactly do you think is well said about it? On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: but at the same time, it doesn't wank itself into a corner by bias after bias This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes. If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier... No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. It is not rhetorical to say that I penalized Serral, because I did: 1a. Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote that I did not include this correction, which is detrimental to Serral? 1b. Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? 2. In the article - as well as multiple times in the other thread (and even in the very post you commented on and directly to you in the other thread!!) I explained that this weighting was proposed by ChatGTP. I still don't understand why you keep pounding on that, tbh. As WombaT wrote out in the other thread, the weighting is entirely superfluous. The most important revelation was that most players have mixed results, while Serral is dominating them all. You make it seem like the weighting was there to push Serral, which is not the case. You have no proof for this accusation. On the contrary, I posted the exact text that I used to let ChatGTP decide on the weighting, to let you guys double check. I only did so because I knew based on the results, that the weighting does not change in the first place and I couldn’t decide on a specific weighting, which I explained ad nauseam in the article as well as in the comments. First place would only change with an insane weighting-setup for efficiency… then Life (who most people disregard anyway) would be on top, with Serral being 2nd. Arguing with the weighting result is utterly pointless… As this is your (and other critics) biggest point which you all come back to every time, I doubt that is much more substance to gain from you guys. 3a. In the tournament win %, similar to most metrics, I discounted all region-locked tournaments. This is a penalty to Serral, although a needed one to deny his easier tournament wins. But still it is a penalty; especially to deny them entirely, as Korean pros had rather easy tournament wins as well. 3b. You might disagree that the bonus is not enough according to your subjective feeling. My reasoning for using 20%: I explained in detail why a larger player pool, especially in mostly tier 2, 3 and 4 players, would not decrease a tournament win percentage that much. - doubling the player pool would most likely mean just one extra round. If that round was a group stage, it would naturally mean that you’d have to play more lower tier player statistically, boosting your match win rate - I reasoned that this fact means that average place would need a higher era-multiplier than tournament win percentage - Now looking at Serral’s average win rate of around 82% in his years from 2018-2024 subtracted with 2% (some lower match win for era but also considering that his win rates are deflated versus the Koreans because of 1a, also taking into account that earlier group stages are easier to win than knockout brackets), these more rounds would mean a win probability of roughly 80%. As an example: going from 4 rounds to 5 rounds would statistically mean a win probability dropping from 40% to 33%, meaning a loss of 17,5% or a boost of 21,2%. - Now, comparing DH 2020 to a GSL or SSL 2013: Not all tournaments that other players have won were a GSL though. What about the 2013 Hot6ix Cup or ASUS ROG NorthCon? And didn’t Serral win uberly stacked tournaments as well? You are committing a false equivalence/improper comparison fallacy here. In essence, you are right that one can’t compare a GSL to a DH. But that is also not what I did. There were not only GSLs in 2013 (as a matter of fact, there was only one) and Serral won more stacked tournaments as well. It also borders on a strawman, as my approach was not designed to precisely reflect the odds between only one of the hardest 2013 tournaments vs a specific 2020 event, but rather roughly corrects across periods. - Do you further realize that arguing like this from an era/period-perspective also argues against Rogue’s and Maru’s case? - What adjustment would you find appropriate? Overall it is rather the modern Koreans that benefitted in this metric, as Serral, Clem and mostly Reynor were missing in the GSLs that they won. Of course Serral wouldn’t have the same tournament win percentage had he been a full-time pro at his peak playing in the prime era. But the win percentages of INno, Rain, etc. would drop as well, had Mvp, Serral and Clem played there. I explained this already in the article. “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? This would be much more fruitful if you didn’t try to rely on notions like my method was not statistical, keep using arguments that have been addressed or straight out deny that Serral was penalized on several occasions, which he clearly was. Talk about the points ratio in the tournaments or the era-multiplier or your preferred weighting. Or - as you by your own account don’t care for statistical GOAT debates anyway - simply stay out of them. But making unsubstantiated accusations like me making a Serral GOAT-calculator or repeating the same already addressed notions is absolutely ridiculous. Again, your criteria modifiers are either neutral, bonuses, or penalties to Serral depending on whether they serve as an appropriate baseline compared to expectations. I thought you understood this and were purposefully obscuring the point, but maybe you just don't understand? You gave a 20% bonus for every year pre-2018 in your tournament win %. What this resulted in was at most a 5% increase for players like Life, but for others it was negligible. The question then becomes, for the Korean pros, who mostly participated in GSL and other KILs that were extremely hard to win, does this account for the expected differential in tournament win %? I don't think it does, and I don't think most people who have followed professional SCII think it does. I just want to be clear about your model, because it's important to admit the pro-Serral bias. You literally are saying that the odds of any pro winning the GSL in 2018 are the same as the odds of winning a Dreamhack masters event. Like I said, your model is full of these (deliberate?) confusions in which you claim you are penalizing Serral but you are actually giving him huge bonuses. It's common sense, because the only way you get to Serral = 5X the GOAT of Rogue is by giving him bonuses. Again, it's time to stop pretending you are objective about this. It's really super obvious to everyone you are not. Yes, I understand that. That is why I gave explanations in the article and multiple threads how I arrived at the different era-multipliers for different metrics. But one can have a pretty solid approximation based on statistical regression or calculating how your tournament win chances go down at certain match win rates when you add a round or two. So while the multipliers carry some sort of arbitrariness, it can be approximated to a sufficient level (at least in my opinion). You are committing a fallacy once again if you look only at hard tournaments. Which Korean Pro participated in mostly these tournaments? Can you give an example? And wouldn't your logic be true in the modern era as well, if certain players only participated in tougher tournament formats? Or when the best player of the world was missing? Or the top three? But I still don't see that as a Serral-bias. Because it is not Serral's fault that other contenders from his era were not able to win these potentially "easier" tournaments over him. One could actually reason from this observation, that the Korean Pros win rates are inflated in the tournaments where Serral did not participate. But to address your core critique here: I can incorporate a tournament-multiplier similar to the one in the tournament score here... that's a valid idea. Ooooor: I could incorporate the amount of GSLs since Serral turned full time pro and count them as straight out losses for Serral.. would that make you happy, even though he would still be ahead of Maru and Rogue (That's actually quite an amusing fun fact, don't you think, WombaT  )? And as you seem to dodge certain questions/follow ups, I will post them again to highlight that you are simply not discussing in good faith here: - Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote how I did not include this correction, which is detrimental to Serral? - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? And yes, Life - like all other tournament results from pre-2018 got a 20% positive adjustment, which pushed his tournament win percentage by 5%. What exactly is your point here? Show nested quote +On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Don't do all of them. Do one more at a time... no worries. You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save my time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above. I also don't hide behind criticism... I incorporated the critique from the last article and I will do so in the new version as well. It is not my fault that you are unable to make proper points (except the thing you mentioned about the 20% era modifier, where you didn't reply to my question what kind of multiplier you would deem acceptable... so tell me your number and how you actually arrived at it, similar to my reasoning).
You're not demonstrating that you actually understand the point. Do you understand that, quite literally, what you are describing as a "penalty" to Serral could be a "bonus"? How would you know if it were one or the other? You don't actually articulate this in any of your methodology. If you want to be transparent, you need to stop saying that you are giving Serral "penalties" and say that you feel this is an appropriate modifier but that if you are wrong, it could be a "bonus" to Serral. Whether you are giving Serral penalties versus bonuses is a debatable proposition (I and many others think you're giving him bonuses for all the reasons we've explained). But the fact that it could be either a penalty or a bonus (or neither) is not debatable. And the fact that you wrote thousands of words about your methodology without even addressing this basic methodological point nullifies the validity of your entire model. It's an issue across each of your criteria.
Let me explain it in a way that can be super duper easy to understand. GOAT #1 plays exclusively in tournaments with Bronze league players. GOAT #2 plays exclusively in tournaments with 80-90% of the world's best players. GOAT #1 has a tournament win % of 90%. GOAT #2 has a tournament win % of 30%. Although you don't feel it's necessary, you add 20% to GOAT #2, bumping his tournament win rate up to 36%.
In this example, has GOAT #1 been "penalized" or given a "bonus"?
Also, LOL that you only became a Serral fanboy after seeing your results. Even if that were true, it's honestly kind of sad. Are you just a fan of whoever your model tells you to be a fan of??? Do you realize when you say stuff like this that it has the opposite effect of what you're going for?
Are you familiar with the famous Shakespeare quote "the lady doth protest too much"?
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On July 17 2025 02:20 Antithesis wrote:Show nested quote +On July 17 2025 00:16 WombaT wrote:On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? But the idea that these are Serral biased is beyond absurd. Tournaments won, tournaments won versus entries, average placement, overall win percentage and time spent as #1 in a ranking system are literally how GOATs are determined in every individual sport I follow, alongside intangibles of course. Good post, especially this part. While many weightings and parameters used by PremoBeats are open to debate (as is unavoidable), most of the essential criteria applied by him are perfectly reasonable if not necessities in that winning games and tournaments is the supreme aim of any competitor in a sport. Rwala makes it sound as if these criteria were outlandish metrics, but ironically by asserting that statistics about wins favor Serral yet another argument is made for him being the GoaT.
I have no issue with Serral being the GOAT. I think he's a great GOAT pick by almost precisely the same logic that Babe Ruth is considered by many to be the baseball GOAT (despite never competing in the most competitive era or league). And yet if I built a model that gave Babe Ruth 5X the GOAT points of Willie Mays, I'd immediately throw it in the trash and start over. And I would not even attempt to claim that somehow the league Babe Ruth played in was equally competitive.
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On July 17 2025 01:28 Mizenhauer wrote:Show nested quote +On July 17 2025 00:16 WombaT wrote:On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Why are you assuming that the ranking score = Serral being 5x better than Rogue? Sabalenka in women’s tennis is close to double the points of Swiatek in the current WTA rankings. But nobody takes that to mean that she’s twice as good at tennis right now. Serral having 5x more points on weighting doesn’t equal a claim that he’s 5x the GOAT. Premo showed their numbers, if you disagree with the weighting then the option is there to do your own. If we’re going off numbers and stats, I don’t see any way to crown Rogue the GOAT that isn’t specifically designed to do that. He wasn’t a competitive tournament contender in the Kespa era, and he wasn’t as consistent, nor won as much as Serral or Maru in the post-Kespa era. If you took someone who understood how competitive games function, who knew nothing of StarCraft and got them to model it, they’ll pick similar metrics to Premo. Because outside of vibes that is literally how you figure out who the most consistently dominant player is. They won’t be able to account for the eras and whatnot specific to SC2’s history, which does complicate things. But the idea that these are Serral biased is beyond absurd. Tournaments won, tournaments won versus entries, average placement, overall win percentage and time spent as #1 in a ranking system are literally how GOATs are determined in every individual sport I follow, alongside intangibles of course. Stats aren’t biased towards Serral, he’s overwhelmingly the best in so many metrics that, if you want to determine a GOAT based on stats without adjustment he just wins, easily. If you want to make reasonable adjustments to factor in a shifting scene, it’s still very hard to lock him out, but a case can be made. Another option is to go on vibes and intangibles, alongside or instead of stats. Which I’ve said many times I’m absolutely fine with, greatness isn’t necessarily ‘the best’, it’s coming in clutch, it’s breaking new ground etc. I’m ok with both approaches, on record as such many times. But if one is going to criticise Premo’s methodology then suggest an actual alternative. He’s showed his working on plenty of metrics, so one doesn’t even have to do the busy work. It’s also a bit laughable to me that we’re even going back to criticise Premo’s effort in a thread where an alternate attempt was assigning arbitrary multipliers as high as 4x and had the (statistically) greatest SC2 player at 11th All era multipliers are arbitrary.
Exactly. It's actually impossible to have an era multiple not be biased. Like literally it is impossible. I'm not sure why this is hard for folks to understand.
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On July 17 2025 04:17 rwala wrote:Show nested quote +On July 17 2025 02:12 PremoBeats wrote:On July 16 2025 23:04 rwala wrote:On July 15 2025 19:31 PremoBeats wrote:On July 15 2025 17:32 Charoisaur wrote:On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: but at the same time, it doesn't wank itself into a corner by bias after bias This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes. If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier... No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. Well said rwala's reply consists mostly of straw men, false comparisons and already addressed arguments... what exactly do you think is well said about it? On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: but at the same time, it doesn't wank itself into a corner by bias after bias This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes. If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier... No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. It is not rhetorical to say that I penalized Serral, because I did: 1a. Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote that I did not include this correction, which is detrimental to Serral? 1b. Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? 2. In the article - as well as multiple times in the other thread (and even in the very post you commented on and directly to you in the other thread!!) I explained that this weighting was proposed by ChatGTP. I still don't understand why you keep pounding on that, tbh. As WombaT wrote out in the other thread, the weighting is entirely superfluous. The most important revelation was that most players have mixed results, while Serral is dominating them all. You make it seem like the weighting was there to push Serral, which is not the case. You have no proof for this accusation. On the contrary, I posted the exact text that I used to let ChatGTP decide on the weighting, to let you guys double check. I only did so because I knew based on the results, that the weighting does not change in the first place and I couldn’t decide on a specific weighting, which I explained ad nauseam in the article as well as in the comments. First place would only change with an insane weighting-setup for efficiency… then Life (who most people disregard anyway) would be on top, with Serral being 2nd. Arguing with the weighting result is utterly pointless… As this is your (and other critics) biggest point which you all come back to every time, I doubt that is much more substance to gain from you guys. 3a. In the tournament win %, similar to most metrics, I discounted all region-locked tournaments. This is a penalty to Serral, although a needed one to deny his easier tournament wins. But still it is a penalty; especially to deny them entirely, as Korean pros had rather easy tournament wins as well. 3b. You might disagree that the bonus is not enough according to your subjective feeling. My reasoning for using 20%: I explained in detail why a larger player pool, especially in mostly tier 2, 3 and 4 players, would not decrease a tournament win percentage that much. - doubling the player pool would most likely mean just one extra round. If that round was a group stage, it would naturally mean that you’d have to play more lower tier player statistically, boosting your match win rate - I reasoned that this fact means that average place would need a higher era-multiplier than tournament win percentage - Now looking at Serral’s average win rate of around 82% in his years from 2018-2024 subtracted with 2% (some lower match win for era but also considering that his win rates are deflated versus the Koreans because of 1a, also taking into account that earlier group stages are easier to win than knockout brackets), these more rounds would mean a win probability of roughly 80%. As an example: going from 4 rounds to 5 rounds would statistically mean a win probability dropping from 40% to 33%, meaning a loss of 17,5% or a boost of 21,2%. - Now, comparing DH 2020 to a GSL or SSL 2013: Not all tournaments that other players have won were a GSL though. What about the 2013 Hot6ix Cup or ASUS ROG NorthCon? And didn’t Serral win uberly stacked tournaments as well? You are committing a false equivalence/improper comparison fallacy here. In essence, you are right that one can’t compare a GSL to a DH. But that is also not what I did. There were not only GSLs in 2013 (as a matter of fact, there was only one) and Serral won more stacked tournaments as well. It also borders on a strawman, as my approach was not designed to precisely reflect the odds between only one of the hardest 2013 tournaments vs a specific 2020 event, but rather roughly corrects across periods. - Do you further realize that arguing like this from an era/period-perspective also argues against Rogue’s and Maru’s case? - What adjustment would you find appropriate? Overall it is rather the modern Koreans that benefitted in this metric, as Serral, Clem and mostly Reynor were missing in the GSLs that they won. Of course Serral wouldn’t have the same tournament win percentage had he been a full-time pro at his peak playing in the prime era. But the win percentages of INno, Rain, etc. would drop as well, had Mvp, Serral and Clem played there. I explained this already in the article. “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? This would be much more fruitful if you didn’t try to rely on notions like my method was not statistical, keep using arguments that have been addressed or straight out deny that Serral was penalized on several occasions, which he clearly was. Talk about the points ratio in the tournaments or the era-multiplier or your preferred weighting. Or - as you by your own account don’t care for statistical GOAT debates anyway - simply stay out of them. But making unsubstantiated accusations like me making a Serral GOAT-calculator or repeating the same already addressed notions is absolutely ridiculous. Again, your criteria modifiers are either neutral, bonuses, or penalties to Serral depending on whether they serve as an appropriate baseline compared to expectations. I thought you understood this and were purposefully obscuring the point, but maybe you just don't understand? You gave a 20% bonus for every year pre-2018 in your tournament win %. What this resulted in was at most a 5% increase for players like Life, but for others it was negligible. The question then becomes, for the Korean pros, who mostly participated in GSL and other KILs that were extremely hard to win, does this account for the expected differential in tournament win %? I don't think it does, and I don't think most people who have followed professional SCII think it does. I just want to be clear about your model, because it's important to admit the pro-Serral bias. You literally are saying that the odds of any pro winning the GSL in 2018 are the same as the odds of winning a Dreamhack masters event. Like I said, your model is full of these (deliberate?) confusions in which you claim you are penalizing Serral but you are actually giving him huge bonuses. It's common sense, because the only way you get to Serral = 5X the GOAT of Rogue is by giving him bonuses. Again, it's time to stop pretending you are objective about this. It's really super obvious to everyone you are not. Yes, I understand that. That is why I gave explanations in the article and multiple threads how I arrived at the different era-multipliers for different metrics. But one can have a pretty solid approximation based on statistical regression or calculating how your tournament win chances go down at certain match win rates when you add a round or two. So while the multipliers carry some sort of arbitrariness, it can be approximated to a sufficient level (at least in my opinion). You are committing a fallacy once again if you look only at hard tournaments. Which Korean Pro participated in mostly these tournaments? Can you give an example? And wouldn't your logic be true in the modern era as well, if certain players only participated in tougher tournament formats? Or when the best player of the world was missing? Or the top three? But I still don't see that as a Serral-bias. Because it is not Serral's fault that other contenders from his era were not able to win these potentially "easier" tournaments over him. One could actually reason from this observation, that the Korean Pros win rates are inflated in the tournaments where Serral did not participate. But to address your core critique here: I can incorporate a tournament-multiplier similar to the one in the tournament score here... that's a valid idea. Ooooor: I could incorporate the amount of GSLs since Serral turned full time pro and count them as straight out losses for Serral.. would that make you happy, even though he would still be ahead of Maru and Rogue (That's actually quite an amusing fun fact, don't you think, WombaT  )? And as you seem to dodge certain questions/follow ups, I will post them again to highlight that you are simply not discussing in good faith here: - Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote how I did not include this correction, which is detrimental to Serral? - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? And yes, Life - like all other tournament results from pre-2018 got a 20% positive adjustment, which pushed his tournament win percentage by 5%. What exactly is your point here? On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Don't do all of them. Do one more at a time... no worries. You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save my time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above. I also don't hide behind criticism... I incorporated the critique from the last article and I will do so in the new version as well. It is not my fault that you are unable to make proper points (except the thing you mentioned about the 20% era modifier, where you didn't reply to my question what kind of multiplier you would deem acceptable... so tell me your number and how you actually arrived at it, similar to my reasoning). You're not demonstrating that you actually understand the point. Do you understand that, quite literally, what you are describing as a "penalty" to Serral could be a "bonus"? How would you know if it were one or the other? You don't actually articulate this in any of your methodology. If you want to be transparent, you need to stop saying that you are giving Serral "penalties" and say that you feel this is an appropriate modifier but that if you are wrong, it could be a "bonus" to Serral. Whether you are giving Serral penalties versus bonuses is a debatable proposition (I and many others think you're giving him bonuses for all the reasons we've explained). But the fact that it could be either a penalty or a bonus (or neither) is not debatable. And the fact that you wrote thousands of words about your methodology without even addressing this basic methodological point nullifies the validity of your entire model. It's an issue across each of your criteria. Let me explain it in a way that can be super duper easy to understand. GOAT #1 plays exclusively in tournaments with Bronze league players. GOAT #2 plays exclusively in tournaments with 80-90% of the world's best players. GOAT #1 has a tournament win % of 90%. GOAT #2 has a tournament win % of 30%. Although you don't feel it's necessary, you add 20% to GOAT #2, bumping his tournament win rate up to 36%. In this example, has GOAT #1 been "penalized" or given a "bonus"? Also, LOL that you only became a Serral fanboy after seeing your results. Even if that were true, it's honestly kind of sad. Are you just a fan of whoever your model tells you to be a fan of??? Do you realize when you say stuff like this that it has the opposite effect of what you're going for? Are you familiar with the famous Shakespeare quote "the lady doth protest too much"? Give the quote where I said that Serral is receiving a penalty, where he actually has not been given one and I simply made a contextual adjustment like in your example. Arbitrary and biased are two different things... they can overlap, but are not synonymous. Perhaps all this trouble stems from this misunderstanding.
And as you still refuse to engage properly: - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote?
You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save myself time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above.
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On July 17 2025 00:16 WombaT wrote:Show nested quote +On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Why are you assuming that the ranking score = Serral being 5x better than Rogue? Sabalenka in women’s tennis is close to double the points of Swiatek in the current WTA rankings. But nobody takes that to mean that she’s twice as good at tennis right now. Serral having 5x more points on weighting doesn’t equal a claim that he’s 5x the GOAT. Premo showed their numbers, if you disagree with the weighting then the option is there to do your own. If we’re going off numbers and stats, I don’t see any way to crown Rogue the GOAT that isn’t specifically designed to do that. He wasn’t a competitive tournament contender in the Kespa era, and he wasn’t as consistent, nor won as much as Serral or Maru in the post-Kespa era. If you took someone who understood how competitive games function, who knew nothing of StarCraft and got them to model it, they’ll pick similar metrics to Premo. Because outside of vibes that is literally how you figure out who the most consistently dominant player is. They won’t be able to account for the eras and whatnot specific to SC2’s history, which does complicate things. But the idea that these are Serral biased is beyond absurd. Tournaments won, tournaments won versus entries, average placement, overall win percentage and time spent as #1 in a ranking system are literally how GOATs are determined in every individual sport I follow, alongside intangibles of course. Stats aren’t biased towards Serral, he’s overwhelmingly the best in so many metrics that, if you want to determine a GOAT based on stats without adjustment he just wins, easily. If you want to make reasonable adjustments to factor in a shifting scene, it’s still very hard to lock him out, but a case can be made. Another option is to go on vibes and intangibles, alongside or instead of stats. Which I’ve said many times I’m absolutely fine with, greatness isn’t necessarily ‘the best’, it’s coming in clutch, it’s breaking new ground etc. I’m ok with both approaches, on record as such many times. But if one is going to criticise Premo’s methodology then suggest an actual alternative. He’s showed his working on plenty of metrics, so one doesn’t even have to do the busy work. It’s also a bit laughable to me that we’re even going back to criticise Premo’s effort in a thread where an alternate attempt was assigning arbitrary multipliers as high as 4x and had the (statistically) greatest SC2 player at 11th
To understand why these metrics could be biased in Serral's direction, read my analysis of the tournament win % criteria and you can apply this to almost all the criteria. You may not agree with me that a KIL in 2013 is 5X harder to win than a 2020 Dreamhack Masters, but if you believe it is 1.21X or more harder to win, then mathematically Premo's model is Serral-biased for you as well whether you want to believe that or not. That's just how predictive modeling works. It's the same logic for why a company can post record profits and still have their stock price decrease when those profits are announced (because they nonetheless underperformed expectations).
An approach that places numerical measures of success in their appropriate context is not just "vibes" my friend. As I've said many times, you cannot justify the literal Greatest, Muhammed Ali, based exclusively on "statistics". His 5 losses are too many and his win % is too low compared to many boxers that retire undefeated. His stats are impressive enough, but certainly not what makes him the GOAT. And as I've also said, when you get so deep into the numbers and stats, you can forget what greatness really means and end up with weird results like crowing Shane Battier the basketball GOAT.
And as I've also said, my issue is not with Serral being the GOAT, I think he's a great GOAT pick for almost the same logic that Babe Ruth is a great baseball GOAT pick.
Re: Rogue as the GOAT, just watch the Artosis video. He does not need thousands of confusing words and a calculator to tally up Rogue's incredible accomplishments. He's absolutely a valid GOAT pick. As is, imho, Mvp.
If I were making a list, I'd do it like Miz did it, more or less, which is to place statistics and numbers into their appropriate context of what made each GOAT contender truly a GOAT. This is what every GOAT list does, and why every GOAT calculator is doomed to fail. There is no objective way to calculate a GOAT, period. Admitting that doesn't require you to just go off vibes, but it does require you to have a nuanced and historically grounded understanding of greatness.
To me this is very simple. Serral has zero results in this game's most competitive era and tournaments. His results are nonetheless so impressive that you could definitely say he's the GOAT but it's also totally fine if you pick a GOAT who played and showed results when there were hundreds of pros competing in the most prestigious e-sport leagues and tournaments on the planet.
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On July 17 2025 04:36 PremoBeats wrote:Show nested quote +On July 17 2025 04:17 rwala wrote:On July 17 2025 02:12 PremoBeats wrote:On July 16 2025 23:04 rwala wrote:On July 15 2025 19:31 PremoBeats wrote:On July 15 2025 17:32 Charoisaur wrote:On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: [quote]
This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes.
If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier...
No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. Well said rwala's reply consists mostly of straw men, false comparisons and already addressed arguments... what exactly do you think is well said about it? On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: but at the same time, it doesn't wank itself into a corner by bias after bias This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes. If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier... No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. It is not rhetorical to say that I penalized Serral, because I did: 1a. Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote that I did not include this correction, which is detrimental to Serral? 1b. Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? 2. In the article - as well as multiple times in the other thread (and even in the very post you commented on and directly to you in the other thread!!) I explained that this weighting was proposed by ChatGTP. I still don't understand why you keep pounding on that, tbh. As WombaT wrote out in the other thread, the weighting is entirely superfluous. The most important revelation was that most players have mixed results, while Serral is dominating them all. You make it seem like the weighting was there to push Serral, which is not the case. You have no proof for this accusation. On the contrary, I posted the exact text that I used to let ChatGTP decide on the weighting, to let you guys double check. I only did so because I knew based on the results, that the weighting does not change in the first place and I couldn’t decide on a specific weighting, which I explained ad nauseam in the article as well as in the comments. First place would only change with an insane weighting-setup for efficiency… then Life (who most people disregard anyway) would be on top, with Serral being 2nd. Arguing with the weighting result is utterly pointless… As this is your (and other critics) biggest point which you all come back to every time, I doubt that is much more substance to gain from you guys. 3a. In the tournament win %, similar to most metrics, I discounted all region-locked tournaments. This is a penalty to Serral, although a needed one to deny his easier tournament wins. But still it is a penalty; especially to deny them entirely, as Korean pros had rather easy tournament wins as well. 3b. You might disagree that the bonus is not enough according to your subjective feeling. My reasoning for using 20%: I explained in detail why a larger player pool, especially in mostly tier 2, 3 and 4 players, would not decrease a tournament win percentage that much. - doubling the player pool would most likely mean just one extra round. If that round was a group stage, it would naturally mean that you’d have to play more lower tier player statistically, boosting your match win rate - I reasoned that this fact means that average place would need a higher era-multiplier than tournament win percentage - Now looking at Serral’s average win rate of around 82% in his years from 2018-2024 subtracted with 2% (some lower match win for era but also considering that his win rates are deflated versus the Koreans because of 1a, also taking into account that earlier group stages are easier to win than knockout brackets), these more rounds would mean a win probability of roughly 80%. As an example: going from 4 rounds to 5 rounds would statistically mean a win probability dropping from 40% to 33%, meaning a loss of 17,5% or a boost of 21,2%. - Now, comparing DH 2020 to a GSL or SSL 2013: Not all tournaments that other players have won were a GSL though. What about the 2013 Hot6ix Cup or ASUS ROG NorthCon? And didn’t Serral win uberly stacked tournaments as well? You are committing a false equivalence/improper comparison fallacy here. In essence, you are right that one can’t compare a GSL to a DH. But that is also not what I did. There were not only GSLs in 2013 (as a matter of fact, there was only one) and Serral won more stacked tournaments as well. It also borders on a strawman, as my approach was not designed to precisely reflect the odds between only one of the hardest 2013 tournaments vs a specific 2020 event, but rather roughly corrects across periods. - Do you further realize that arguing like this from an era/period-perspective also argues against Rogue’s and Maru’s case? - What adjustment would you find appropriate? Overall it is rather the modern Koreans that benefitted in this metric, as Serral, Clem and mostly Reynor were missing in the GSLs that they won. Of course Serral wouldn’t have the same tournament win percentage had he been a full-time pro at his peak playing in the prime era. But the win percentages of INno, Rain, etc. would drop as well, had Mvp, Serral and Clem played there. I explained this already in the article. “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? This would be much more fruitful if you didn’t try to rely on notions like my method was not statistical, keep using arguments that have been addressed or straight out deny that Serral was penalized on several occasions, which he clearly was. Talk about the points ratio in the tournaments or the era-multiplier or your preferred weighting. Or - as you by your own account don’t care for statistical GOAT debates anyway - simply stay out of them. But making unsubstantiated accusations like me making a Serral GOAT-calculator or repeating the same already addressed notions is absolutely ridiculous. Again, your criteria modifiers are either neutral, bonuses, or penalties to Serral depending on whether they serve as an appropriate baseline compared to expectations. I thought you understood this and were purposefully obscuring the point, but maybe you just don't understand? You gave a 20% bonus for every year pre-2018 in your tournament win %. What this resulted in was at most a 5% increase for players like Life, but for others it was negligible. The question then becomes, for the Korean pros, who mostly participated in GSL and other KILs that were extremely hard to win, does this account for the expected differential in tournament win %? I don't think it does, and I don't think most people who have followed professional SCII think it does. I just want to be clear about your model, because it's important to admit the pro-Serral bias. You literally are saying that the odds of any pro winning the GSL in 2018 are the same as the odds of winning a Dreamhack masters event. Like I said, your model is full of these (deliberate?) confusions in which you claim you are penalizing Serral but you are actually giving him huge bonuses. It's common sense, because the only way you get to Serral = 5X the GOAT of Rogue is by giving him bonuses. Again, it's time to stop pretending you are objective about this. It's really super obvious to everyone you are not. Yes, I understand that. That is why I gave explanations in the article and multiple threads how I arrived at the different era-multipliers for different metrics. But one can have a pretty solid approximation based on statistical regression or calculating how your tournament win chances go down at certain match win rates when you add a round or two. So while the multipliers carry some sort of arbitrariness, it can be approximated to a sufficient level (at least in my opinion). You are committing a fallacy once again if you look only at hard tournaments. Which Korean Pro participated in mostly these tournaments? Can you give an example? And wouldn't your logic be true in the modern era as well, if certain players only participated in tougher tournament formats? Or when the best player of the world was missing? Or the top three? But I still don't see that as a Serral-bias. Because it is not Serral's fault that other contenders from his era were not able to win these potentially "easier" tournaments over him. One could actually reason from this observation, that the Korean Pros win rates are inflated in the tournaments where Serral did not participate. But to address your core critique here: I can incorporate a tournament-multiplier similar to the one in the tournament score here... that's a valid idea. Ooooor: I could incorporate the amount of GSLs since Serral turned full time pro and count them as straight out losses for Serral.. would that make you happy, even though he would still be ahead of Maru and Rogue (That's actually quite an amusing fun fact, don't you think, WombaT  )? And as you seem to dodge certain questions/follow ups, I will post them again to highlight that you are simply not discussing in good faith here: - Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote how I did not include this correction, which is detrimental to Serral? - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? And yes, Life - like all other tournament results from pre-2018 got a 20% positive adjustment, which pushed his tournament win percentage by 5%. What exactly is your point here? On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Don't do all of them. Do one more at a time... no worries. You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save my time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above. I also don't hide behind criticism... I incorporated the critique from the last article and I will do so in the new version as well. It is not my fault that you are unable to make proper points (except the thing you mentioned about the 20% era modifier, where you didn't reply to my question what kind of multiplier you would deem acceptable... so tell me your number and how you actually arrived at it, similar to my reasoning). You're not demonstrating that you actually understand the point. Do you understand that, quite literally, what you are describing as a "penalty" to Serral could be a "bonus"? How would you know if it were one or the other? You don't actually articulate this in any of your methodology. If you want to be transparent, you need to stop saying that you are giving Serral "penalties" and say that you feel this is an appropriate modifier but that if you are wrong, it could be a "bonus" to Serral. Whether you are giving Serral penalties versus bonuses is a debatable proposition (I and many others think you're giving him bonuses for all the reasons we've explained). But the fact that it could be either a penalty or a bonus (or neither) is not debatable. And the fact that you wrote thousands of words about your methodology without even addressing this basic methodological point nullifies the validity of your entire model. It's an issue across each of your criteria. Let me explain it in a way that can be super duper easy to understand. GOAT #1 plays exclusively in tournaments with Bronze league players. GOAT #2 plays exclusively in tournaments with 80-90% of the world's best players. GOAT #1 has a tournament win % of 90%. GOAT #2 has a tournament win % of 30%. Although you don't feel it's necessary, you add 20% to GOAT #2, bumping his tournament win rate up to 36%. In this example, has GOAT #1 been "penalized" or given a "bonus"? Also, LOL that you only became a Serral fanboy after seeing your results. Even if that were true, it's honestly kind of sad. Are you just a fan of whoever your model tells you to be a fan of??? Do you realize when you say stuff like this that it has the opposite effect of what you're going for? Are you familiar with the famous Shakespeare quote "the lady doth protest too much"? Give the quote where I said that Serral is receiving a penalty, where he actually has not been given one and I simply made a contextual adjustment like in your example. Arbitrary and biased are two different things... they can overlap, but are not synonymous. Perhaps all this trouble stems from this misunderstanding. And as you still refuse to engage properly: - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote?
You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save myself time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above.
This is your quote:
"Maru benefits from this correction in two years, Rogue in one, Serral in no year."
You are claiming that Serral got no benefit from your modifier, but that's entirely dependent on the validity of your modifier (whether it's too high, too low, or just right). If your modifier is too low, then the opposite of what you are claiming would be true: Serral would "benefit" in every year. But even assuming you feel you got your modifier just right, then your statement is still not accurate because the modifier would provide no "benefit" to anyone...it would simply make a necessary adjustment to turn applies into oranges for purposes of the comparison. Do you understand now?
I don't understand your question about non-prime years, but basically I think compared to all your GOAT contenders Serral both played in easier-to-win tournaments and also had a much easier path to qualify for premier tournaments, therefore significantly increasing the number of premier tournaments he has won. Most Korean GOAT contenders regularly failed to qualify for one or more premier tournaments each year, sometimes they didn't even qualify for the world championships. FWIW, based on the subjective way I think about GOATs, I would NOT penalize Serral for this, but if I were trying to genuinely and objectively find a mathematical way to calculate GOATs, you would need to (and you do not).
Basically I think you significantly underestimate how hard it is to win a KIL and qualify for premier tournaments as a Korean pro during the region lock-eras. It was dramatically worse when there were hundreds of active Korean pros, but it remained a factor until very recently. Many would disagree, but I would argue that until maybe 2022 (whenever they got rid of the double group stages and standalone finals), winning a GSL was as hard as if not harder than winning a world championship or certainly a season global finals. But you certainly do not need to fully or even partially agree to understand the methodological issues I'm raising.
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On July 17 2025 05:29 rwala wrote:Show nested quote +On July 17 2025 04:36 PremoBeats wrote:On July 17 2025 04:17 rwala wrote:On July 17 2025 02:12 PremoBeats wrote:On July 16 2025 23:04 rwala wrote:On July 15 2025 19:31 PremoBeats wrote:On July 15 2025 17:32 Charoisaur wrote:On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote: [quote] Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post
"If you torture the data long enough, it will confess to anything"
At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here.
And we all know the one true Goat ranking is this one:
1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats
I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. Well said rwala's reply consists mostly of straw men, false comparisons and already addressed arguments... what exactly do you think is well said about it? On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote:On July 12 2025 06:50 Balnazza wrote: [quote]
This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes.
If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier...
No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post "If you torture the data long enough, it will confess to anything" At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here. And we all know the one true Goat ranking is this one: 1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. It is not rhetorical to say that I penalized Serral, because I did: 1a. Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote that I did not include this correction, which is detrimental to Serral? 1b. Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? 2. In the article - as well as multiple times in the other thread (and even in the very post you commented on and directly to you in the other thread!!) I explained that this weighting was proposed by ChatGTP. I still don't understand why you keep pounding on that, tbh. As WombaT wrote out in the other thread, the weighting is entirely superfluous. The most important revelation was that most players have mixed results, while Serral is dominating them all. You make it seem like the weighting was there to push Serral, which is not the case. You have no proof for this accusation. On the contrary, I posted the exact text that I used to let ChatGTP decide on the weighting, to let you guys double check. I only did so because I knew based on the results, that the weighting does not change in the first place and I couldn’t decide on a specific weighting, which I explained ad nauseam in the article as well as in the comments. First place would only change with an insane weighting-setup for efficiency… then Life (who most people disregard anyway) would be on top, with Serral being 2nd. Arguing with the weighting result is utterly pointless… As this is your (and other critics) biggest point which you all come back to every time, I doubt that is much more substance to gain from you guys. 3a. In the tournament win %, similar to most metrics, I discounted all region-locked tournaments. This is a penalty to Serral, although a needed one to deny his easier tournament wins. But still it is a penalty; especially to deny them entirely, as Korean pros had rather easy tournament wins as well. 3b. You might disagree that the bonus is not enough according to your subjective feeling. My reasoning for using 20%: I explained in detail why a larger player pool, especially in mostly tier 2, 3 and 4 players, would not decrease a tournament win percentage that much. - doubling the player pool would most likely mean just one extra round. If that round was a group stage, it would naturally mean that you’d have to play more lower tier player statistically, boosting your match win rate - I reasoned that this fact means that average place would need a higher era-multiplier than tournament win percentage - Now looking at Serral’s average win rate of around 82% in his years from 2018-2024 subtracted with 2% (some lower match win for era but also considering that his win rates are deflated versus the Koreans because of 1a, also taking into account that earlier group stages are easier to win than knockout brackets), these more rounds would mean a win probability of roughly 80%. As an example: going from 4 rounds to 5 rounds would statistically mean a win probability dropping from 40% to 33%, meaning a loss of 17,5% or a boost of 21,2%. - Now, comparing DH 2020 to a GSL or SSL 2013: Not all tournaments that other players have won were a GSL though. What about the 2013 Hot6ix Cup or ASUS ROG NorthCon? And didn’t Serral win uberly stacked tournaments as well? You are committing a false equivalence/improper comparison fallacy here. In essence, you are right that one can’t compare a GSL to a DH. But that is also not what I did. There were not only GSLs in 2013 (as a matter of fact, there was only one) and Serral won more stacked tournaments as well. It also borders on a strawman, as my approach was not designed to precisely reflect the odds between only one of the hardest 2013 tournaments vs a specific 2020 event, but rather roughly corrects across periods. - Do you further realize that arguing like this from an era/period-perspective also argues against Rogue’s and Maru’s case? - What adjustment would you find appropriate? Overall it is rather the modern Koreans that benefitted in this metric, as Serral, Clem and mostly Reynor were missing in the GSLs that they won. Of course Serral wouldn’t have the same tournament win percentage had he been a full-time pro at his peak playing in the prime era. But the win percentages of INno, Rain, etc. would drop as well, had Mvp, Serral and Clem played there. I explained this already in the article. “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? This would be much more fruitful if you didn’t try to rely on notions like my method was not statistical, keep using arguments that have been addressed or straight out deny that Serral was penalized on several occasions, which he clearly was. Talk about the points ratio in the tournaments or the era-multiplier or your preferred weighting. Or - as you by your own account don’t care for statistical GOAT debates anyway - simply stay out of them. But making unsubstantiated accusations like me making a Serral GOAT-calculator or repeating the same already addressed notions is absolutely ridiculous. Again, your criteria modifiers are either neutral, bonuses, or penalties to Serral depending on whether they serve as an appropriate baseline compared to expectations. I thought you understood this and were purposefully obscuring the point, but maybe you just don't understand? You gave a 20% bonus for every year pre-2018 in your tournament win %. What this resulted in was at most a 5% increase for players like Life, but for others it was negligible. The question then becomes, for the Korean pros, who mostly participated in GSL and other KILs that were extremely hard to win, does this account for the expected differential in tournament win %? I don't think it does, and I don't think most people who have followed professional SCII think it does. I just want to be clear about your model, because it's important to admit the pro-Serral bias. You literally are saying that the odds of any pro winning the GSL in 2018 are the same as the odds of winning a Dreamhack masters event. Like I said, your model is full of these (deliberate?) confusions in which you claim you are penalizing Serral but you are actually giving him huge bonuses. It's common sense, because the only way you get to Serral = 5X the GOAT of Rogue is by giving him bonuses. Again, it's time to stop pretending you are objective about this. It's really super obvious to everyone you are not. Yes, I understand that. That is why I gave explanations in the article and multiple threads how I arrived at the different era-multipliers for different metrics. But one can have a pretty solid approximation based on statistical regression or calculating how your tournament win chances go down at certain match win rates when you add a round or two. So while the multipliers carry some sort of arbitrariness, it can be approximated to a sufficient level (at least in my opinion). You are committing a fallacy once again if you look only at hard tournaments. Which Korean Pro participated in mostly these tournaments? Can you give an example? And wouldn't your logic be true in the modern era as well, if certain players only participated in tougher tournament formats? Or when the best player of the world was missing? Or the top three? But I still don't see that as a Serral-bias. Because it is not Serral's fault that other contenders from his era were not able to win these potentially "easier" tournaments over him. One could actually reason from this observation, that the Korean Pros win rates are inflated in the tournaments where Serral did not participate. But to address your core critique here: I can incorporate a tournament-multiplier similar to the one in the tournament score here... that's a valid idea. Ooooor: I could incorporate the amount of GSLs since Serral turned full time pro and count them as straight out losses for Serral.. would that make you happy, even though he would still be ahead of Maru and Rogue (That's actually quite an amusing fun fact, don't you think, WombaT  )? And as you seem to dodge certain questions/follow ups, I will post them again to highlight that you are simply not discussing in good faith here: - Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote how I did not include this correction, which is detrimental to Serral? - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? And yes, Life - like all other tournament results from pre-2018 got a 20% positive adjustment, which pushed his tournament win percentage by 5%. What exactly is your point here? On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Don't do all of them. Do one more at a time... no worries. You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save my time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above. I also don't hide behind criticism... I incorporated the critique from the last article and I will do so in the new version as well. It is not my fault that you are unable to make proper points (except the thing you mentioned about the 20% era modifier, where you didn't reply to my question what kind of multiplier you would deem acceptable... so tell me your number and how you actually arrived at it, similar to my reasoning). You're not demonstrating that you actually understand the point. Do you understand that, quite literally, what you are describing as a "penalty" to Serral could be a "bonus"? How would you know if it were one or the other? You don't actually articulate this in any of your methodology. If you want to be transparent, you need to stop saying that you are giving Serral "penalties" and say that you feel this is an appropriate modifier but that if you are wrong, it could be a "bonus" to Serral. Whether you are giving Serral penalties versus bonuses is a debatable proposition (I and many others think you're giving him bonuses for all the reasons we've explained). But the fact that it could be either a penalty or a bonus (or neither) is not debatable. And the fact that you wrote thousands of words about your methodology without even addressing this basic methodological point nullifies the validity of your entire model. It's an issue across each of your criteria. Let me explain it in a way that can be super duper easy to understand. GOAT #1 plays exclusively in tournaments with Bronze league players. GOAT #2 plays exclusively in tournaments with 80-90% of the world's best players. GOAT #1 has a tournament win % of 90%. GOAT #2 has a tournament win % of 30%. Although you don't feel it's necessary, you add 20% to GOAT #2, bumping his tournament win rate up to 36%. In this example, has GOAT #1 been "penalized" or given a "bonus"? Also, LOL that you only became a Serral fanboy after seeing your results. Even if that were true, it's honestly kind of sad. Are you just a fan of whoever your model tells you to be a fan of??? Do you realize when you say stuff like this that it has the opposite effect of what you're going for? Are you familiar with the famous Shakespeare quote "the lady doth protest too much"? Give the quote where I said that Serral is receiving a penalty, where he actually has not been given one and I simply made a contextual adjustment like in your example. Arbitrary and biased are two different things... they can overlap, but are not synonymous. Perhaps all this trouble stems from this misunderstanding. And as you still refuse to engage properly: - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote?
You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save myself time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above. This is your quote: "Maru benefits from this correction in two years, Rogue in one, Serral in no year." You are claiming that Serral got no benefit from your modifier, but that's entirely dependent on the validity of your modifier (whether it's too high, too low, or just right). If your modifier is too low, then the opposite of what you are claiming would be true: Serral would "benefit" in every year. But even assuming you feel you got your modifier just right, then your statement is still not accurate because the modifier would provide no "benefit" to anyone...it would simply make a necessary adjustment to turn applies into oranges for purposes of the comparison. Do you understand now? I don't understand your question about non-prime years, but basically I think compared to all your GOAT contenders Serral both played in easier-to-win tournaments and also had a much easier path to qualify for premier tournaments, therefore significantly increasing the number of premier tournaments he has won. Most Korean GOAT contenders regularly failed to qualify for one or more premier tournaments each year, sometimes they didn't even qualify for the world championships. FWIW, based on the subjective way I think about GOATs, I would NOT penalize Serral for this, but if I were trying to genuinely and objectively find a mathematical way to calculate GOATs, you would need to (and you do not). Basically I think you significantly underestimate how hard it is to win a KIL and qualify for premier tournaments as a Korean pro during the region lock-eras. It was dramatically worse when there were hundreds of active Korean pros, but it remained a factor until very recently. Many would disagree, but I would argue that until maybe 2022 (whenever they got rid of the double group stages and standalone finals), winning a GSL was as hard as if not harder than winning a world championship or certainly a season global finals. But you certainly do not need to fully or even partially agree to understand the methodological issues I'm raising.
So your whole issue is with this wording? So if I wrote "Adjustments can never be perfectly correct. In relation to that "perfect true adjustment" we cannot definitely know which player subsequently benefited or got penalized. But the adjustment had a positive effect on Maru's base result in 2 years... etc." you'd be ok with it?
On July 17 2025 05:05 rwala wrote:Show nested quote +On July 17 2025 00:16 WombaT wrote:On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Why are you assuming that the ranking score = Serral being 5x better than Rogue? Sabalenka in women’s tennis is close to double the points of Swiatek in the current WTA rankings. But nobody takes that to mean that she’s twice as good at tennis right now. Serral having 5x more points on weighting doesn’t equal a claim that he’s 5x the GOAT. Premo showed their numbers, if you disagree with the weighting then the option is there to do your own. If we’re going off numbers and stats, I don’t see any way to crown Rogue the GOAT that isn’t specifically designed to do that. He wasn’t a competitive tournament contender in the Kespa era, and he wasn’t as consistent, nor won as much as Serral or Maru in the post-Kespa era. If you took someone who understood how competitive games function, who knew nothing of StarCraft and got them to model it, they’ll pick similar metrics to Premo. Because outside of vibes that is literally how you figure out who the most consistently dominant player is. They won’t be able to account for the eras and whatnot specific to SC2’s history, which does complicate things. But the idea that these are Serral biased is beyond absurd. Tournaments won, tournaments won versus entries, average placement, overall win percentage and time spent as #1 in a ranking system are literally how GOATs are determined in every individual sport I follow, alongside intangibles of course. Stats aren’t biased towards Serral, he’s overwhelmingly the best in so many metrics that, if you want to determine a GOAT based on stats without adjustment he just wins, easily. If you want to make reasonable adjustments to factor in a shifting scene, it’s still very hard to lock him out, but a case can be made. Another option is to go on vibes and intangibles, alongside or instead of stats. Which I’ve said many times I’m absolutely fine with, greatness isn’t necessarily ‘the best’, it’s coming in clutch, it’s breaking new ground etc. I’m ok with both approaches, on record as such many times. But if one is going to criticise Premo’s methodology then suggest an actual alternative. He’s showed his working on plenty of metrics, so one doesn’t even have to do the busy work. It’s also a bit laughable to me that we’re even going back to criticise Premo’s effort in a thread where an alternate attempt was assigning arbitrary multipliers as high as 4x and had the (statistically) greatest SC2 player at 11th To understand why these metrics could be biased in Serral's direction, read my analysis of the tournament win % criteria and you can apply this to almost all the criteria. You may not agree with me that a KIL in 2013 is 5X harder to win than a 2020 Dreamhack Masters, but if you believe it is 1.21X or more harder to win, then mathematically Premo's model is Serral-biased for you as well whether you want to believe that or not. That's just how predictive modeling works. It's the same logic for why a company can post record profits and still have their stock price decrease when those profits are announced (because they nonetheless underperformed expectations). An approach that places numerical measures of success in their appropriate context is not just "vibes" my friend. As I've said many times, you cannot justify the literal Greatest, Muhammed Ali, based exclusively on "statistics". His 5 losses are too many and his win % is too low compared to many boxers that retire undefeated. His stats are impressive enough, but certainly not what makes him the GOAT. And as I've also said, when you get so deep into the numbers and stats, you can forget what greatness really means and end up with weird results like crowing Shane Battier the basketball GOAT. And as I've also said, my issue is not with Serral being the GOAT, I think he's a great GOAT pick for almost the same logic that Babe Ruth is a great baseball GOAT pick. Re: Rogue as the GOAT, just watch the Artosis video. He does not need thousands of confusing words and a calculator to tally up Rogue's incredible accomplishments. He's absolutely a valid GOAT pick. As is, imho, Mvp. If I were making a list, I'd do it like Miz did it, more or less, which is to place statistics and numbers into their appropriate context of what made each GOAT contender truly a GOAT. This is what every GOAT list does, and why every GOAT calculator is doomed to fail. There is no objective way to calculate a GOAT, period. Admitting that doesn't require you to just go off vibes, but it does require you to have a nuanced and historically grounded understanding of greatness. To me this is very simple. Serral has zero results in this game's most competitive era and tournaments. His results are nonetheless so impressive that you could definitely say he's the GOAT but it's also totally fine if you pick a GOAT who played and showed results when there were hundreds of pros competing in the most prestigious e-sport leagues and tournaments on the planet. Objective, yes. Perfectly in line with "the truth", no. But again, that does not mean we cannot get pretty close. Everyone would agree that 2018-2020 should not receive a positive adjustment for comparisons against 2013-2015. No sane person would argue that 2013-2015 should receive a 10x positive adjustment against 2018-2020, as it would be way too much. Thus we approximate era-multipliers. And yes, you are correct, that these adjustments won't be perfect, but they will get us close enough if we take into consideration all the thoughts I posted in the article and the subsequent threads (inflations, tournament structure, who played in which tournament and who didn't).
I will end this with a take on clearing things up once and for all: 1. You and Charoisaur are correct in saying that adjustments are either a buff, penalty or perfectly correct (which is with near certainty not possible). An undervalued buff can be seen as a penalty and vice-versa. 2. Because of the - in your opinion - insufficient 20% multiplier, you are saying that Serral received a buff because the adjustment was not penalizing him enough (could be the case and that is where we can find closer proximity discussing era-multipliers). But this is also targeting all post-2018 results... not only Serral's. If Serral received a buff from this kind of reasoning, so did Maru, Rogue and INno's post-2018 results. 3. My point is that Serral did - on multiple occasions - not receive the SAME TREATMENT as the others. For example: The adjustment of inflated match win rates: You are correct in saying that Serral probably had an easier way into some tournaments, although I doubt that he wouldn't have gotten in via Global Qualifiers in the end.. but that means at the same time, that the Koreans played qualifiers where they could boost their match win rates versus weaker Koreans, whereas Serral statistically more often faced the top of the tops. I would have needed to upwardly adjust his numbers, which I did not do, thus it qualifies as a clear penalty. It was a deliberate decision to not include this match win rate boost that Serral would need to rightfully receive. One could further argue that if you didn't make it through harder qualifiers into a tournament you wouldn't have won anyways, you were saved from a worse tournament win percentage result 
I hope that clears it up. If you want to discuss the era-multiplier or how I arrived at it in detail, we can do that. Otherwise, I already suggested to qualify the played tournaments in the tournament win percentage similar to the tournament score, so we get a higher resolution for this metric.
Cheers.
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On July 05 2025 00:38 [PkF] Wire wrote:Show nested quote +On August 09 2024 19:45 GoloSC2 wrote: i was expecting a ranking of rankings, am slightly disappointed that we haven't gone meta yet haha same ! Wouldn't that be called the GOAT ranking's ranking, or the ranking of GOAT rankings? I guess I could've called it the GOAT, GOAT ranking.
On July 05 2025 02:12 Niklas009 wrote: This is a fascinating approach—really appreciate the depth and logic behind your weighting system. Makes for a compelling GOAT discussion!
User was banned for this post. Wrong opinion to have, apparently.
On July 05 2025 14:56 PremoBeats wrote:Show nested quote +On July 05 2025 00:00 Balnazza wrote:But while herO has now won more money than any other protoss I do not believe he is the protoss GOAT. Which gives you two options: Either prizemoney is a bad option to calculate the GOAT or you specifically start manipulating the statistic until it gives you the "correct" answer...but then why have a statistic in the first place? The entire era- and balance-weighting is a flawed concept to begin with considering how subjective it is, it really does not get improved by also "punishing" big prizepools, which usually correspond with important titles. Also...why did you disqualify WCS Europe/America? WCS Europe 2014 Season 1, in which MMA placed 2nd, fulfills all your criteria: Offline (mostly), not an invitational (same format as GSL), Korean players (you said korean players OR korean qualifier, not both) and the prizepool is higher than 2K. Are you really taking this list seriously? There is a 4 times multiplier on era, which no sound mathemetical approach would suggest. Players get penalized for solo carrying their race. The obvious language used... like what :D And I can't decide... are these last two posts written by a person trying to troll hype or ridicule this thread, or are they actually bot accounts programmed to do that? The first text is definitely written by AI. I think I'm being pretty lenient with the 4x multiplier actually. I think you could say that kespa players have at least won half of sc2 prize money, so giving x2 for the era of kespa players doesn't sound too strange. After LotV and the full region lock and little support for the korean scene little new blood came in, and so if these Kespa players continue to enjoy success that not only comes from being the most talented bunch, but also from that lack of new blood to come in and take up the mantle. This has gone on for a while now, realistically how many players can we really say are in their prime atm?, Clem, Shin and maybe Zoun? Compare that, three players in their prime to the Kespa era.. That's why I say 2010-2015 had quantity of players and 2013-2019 had quality players, with the sweet spot of 2013-2015 where there was both. So if quantity counts double, and quality counts double that would mean this sweet spot would be double,double, ergo 4x our current era. I'm not some mathematical genius, but I can do 2x2.
On July 12 2025 06:50 Balnazza wrote:Show nested quote + but at the same time, it doesn't wank itself into a corner by bias after bias This is literally what you did though? Just to take the WCS eu/am again, it completly fulfills your criteria and yet you disregard it. Yes, the qualifier was open to ALL koreans, they just had to move to Europe or America. That is essentially the same requirement GSL had, you had to live in Korea for a while. The biggest reason not more koreans did it was most likely Proleague, because you couldn't really play Proleague when you played WCS. But that isn't an excluding factor. This was pre-regionlock, when koreans were actually forced to be residents of Europe or America. But the whole criticism before that was how lackluster some koreans were in "their" new region, how little they contributed to the regional scenes. If you want to take prizemoney, just take prizemoney. And yes, then you will have to live with the fact that Clem (by winning EWC), Reynor (by winning Gamers8) and even Maru to a degree (by winning WESG) have a bit of inflated stats, but that is the hand you have been dealt with if you pick prizemoney as the defining statistic. But the second you introduced your "fine-tuning", you made yourself vulnerable...and as you notice, a lot of people (if not all of them) don't agree with your fine-tuning, not even the ones that agree with the outcome. Because it is such a biased and random bunch of multipliers. Just as an example I will point out again the HSC I mentioned earlier, that had barely anyone of notice in attendance but gave out more points than Katowice the next year, just because both tournaments were in different "eras"...divided by two months. damn did the scene drop in two months! And don't get me started on the highly subjective "imbalance"-multiplier... No GOAT list will ever be perfect, that's impossible. If we had like 40 years of SC2 that would have been somewhat the same we would have a good metric to decide by, but considering how much shift and change there has been in the ~15 years lifespan of this game, it will always come down to what statistic you highlight and what metric you choose. But sadly, your way just wasn't solid at all. It was highly biased and too radical to correctly adjust for change (not that you particularly need to). But the funniest part is honestly that you think your approach is completly unbiased... My ranking is from the perspective that Korea is the heart of SC2 and for that Serral suffers, because had he just been Korean he would've been able to participate in a bunch of GSL's and could probably best Dark, but I'd rather go from a ranking that can rank everyone outside of Serral than doing a ranking based on only Serral, Serral is probably the hardest player to place because of his non-koreanness, if only he didn't have to be so finnish. So keeping this in mind, WCS EU/AM is not an open qualfier where Korean players get to go for a weekend and reap the rewards, they have to forego WCS Kr and proleague to go there, so no, it's disqualified. They get the prize money that was earned and they get an easier ticket to the global finals, but only in that global finals where there are qualfied korean players do they get to get tournament points.
Fine-tuning prize money isn't much different from breaking tournaments up into tiers, which I also did, I divided them into tiers in terms of prize money. But here you could also say, why are you making tournament tiers such as Korean star leagues, world champions, etc. Just use the TL premier list, use the cards you're dealt. But at the end of the day money is just another point system.
For the HSC that MMA won, that one is disqualifed in my updated version, there was only one qualifed korean player, ByuN that was replaced by Reality, but also decided to not show up, the rest of the field are non-korean and invited players, so it doesn't count. The Katowice the next year is also a non-korean event so that doesn't count as well. But I get your point 2 months doesn't imply two different eras, but then no point in time does. This is where my list can be biased as I will have to pick not only how much an era is worth, but when, which is just every year for simplicity. The other is the tournament tiers which need cut off points and also a value to determine how much less the big money's money is worth.
I'm so unbiased that I'm not even aware of the bias I own
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And as there were 4 times as many tournaments held in that era, I'd suggest multiplying it by another 4. Then the logic is fool-proof.. 2x2x4=16.
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Northern Ireland25283 Posts
@Premo 4x is utterly bonkers. 16 makes much more sense.
One thing that I think goes under the radar in the current epoch, but I suppose I have to mention.
Most international weekenders are absolutely stacked. And have been for a while. The top 4 in the world are basically always there, and you’ve usually got all, or a considerable chunk of the top 10-15
This wasn’t always the case, going back to WoL initially you had a few of Korea’s best, and a bunch of foreigners who weren’t at that level. The Korean numbers did bump up over time. Then at peak Kespa you had teams prioritising Proleague and sometimes the fields weren’t nearly as strong as they could have been.
One can look at tournament wins in various eras and the quality of field can vary hugely.
Of course, KILs in the first 5 years of the game, insanely hard to win one of those.
But I think it goes a bit undermentioned that many of Serral’s, Maru’s (or whoever else) post 2017 wins in international weekenders are basically all against stacked fields.
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On July 17 2025 05:50 PremoBeats wrote:Show nested quote +On July 17 2025 05:29 rwala wrote:On July 17 2025 04:36 PremoBeats wrote:On July 17 2025 04:17 rwala wrote:On July 17 2025 02:12 PremoBeats wrote:On July 16 2025 23:04 rwala wrote:On July 15 2025 19:31 PremoBeats wrote:On July 15 2025 17:32 Charoisaur wrote:On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote: [quote] I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article.
But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture.
And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important
These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. Well said rwala's reply consists mostly of straw men, false comparisons and already addressed arguments... what exactly do you think is well said about it? On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote:On July 13 2025 05:44 Charoisaur wrote: [quote] Yeah, this measurement is quite faulty I think, but it brings a great point across which ironically is the one OP quoted in his post
"If you torture the data long enough, it will confess to anything"
At the end of the day you can use all the fancy stats and data you want, but it doesn't make your ranking any less subjective than someone's guts feeling, whether it's premobeats way overvaluing things like winrates or aligulac rating to prob Serral or the thing ejozl did here.
And we all know the one true Goat ranking is this one:
1. Serral 2. Maru (extremely close to Serral) 3. Inno 4. Rogue 5. Life 6. Zest 7. sOs 8. herO 9. Dark 10. Stats
I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article. But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture. And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. It is not rhetorical to say that I penalized Serral, because I did: 1a. Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote that I did not include this correction, which is detrimental to Serral? 1b. Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? 2. In the article - as well as multiple times in the other thread (and even in the very post you commented on and directly to you in the other thread!!) I explained that this weighting was proposed by ChatGTP. I still don't understand why you keep pounding on that, tbh. As WombaT wrote out in the other thread, the weighting is entirely superfluous. The most important revelation was that most players have mixed results, while Serral is dominating them all. You make it seem like the weighting was there to push Serral, which is not the case. You have no proof for this accusation. On the contrary, I posted the exact text that I used to let ChatGTP decide on the weighting, to let you guys double check. I only did so because I knew based on the results, that the weighting does not change in the first place and I couldn’t decide on a specific weighting, which I explained ad nauseam in the article as well as in the comments. First place would only change with an insane weighting-setup for efficiency… then Life (who most people disregard anyway) would be on top, with Serral being 2nd. Arguing with the weighting result is utterly pointless… As this is your (and other critics) biggest point which you all come back to every time, I doubt that is much more substance to gain from you guys. 3a. In the tournament win %, similar to most metrics, I discounted all region-locked tournaments. This is a penalty to Serral, although a needed one to deny his easier tournament wins. But still it is a penalty; especially to deny them entirely, as Korean pros had rather easy tournament wins as well. 3b. You might disagree that the bonus is not enough according to your subjective feeling. My reasoning for using 20%: I explained in detail why a larger player pool, especially in mostly tier 2, 3 and 4 players, would not decrease a tournament win percentage that much. - doubling the player pool would most likely mean just one extra round. If that round was a group stage, it would naturally mean that you’d have to play more lower tier player statistically, boosting your match win rate - I reasoned that this fact means that average place would need a higher era-multiplier than tournament win percentage - Now looking at Serral’s average win rate of around 82% in his years from 2018-2024 subtracted with 2% (some lower match win for era but also considering that his win rates are deflated versus the Koreans because of 1a, also taking into account that earlier group stages are easier to win than knockout brackets), these more rounds would mean a win probability of roughly 80%. As an example: going from 4 rounds to 5 rounds would statistically mean a win probability dropping from 40% to 33%, meaning a loss of 17,5% or a boost of 21,2%. - Now, comparing DH 2020 to a GSL or SSL 2013: Not all tournaments that other players have won were a GSL though. What about the 2013 Hot6ix Cup or ASUS ROG NorthCon? And didn’t Serral win uberly stacked tournaments as well? You are committing a false equivalence/improper comparison fallacy here. In essence, you are right that one can’t compare a GSL to a DH. But that is also not what I did. There were not only GSLs in 2013 (as a matter of fact, there was only one) and Serral won more stacked tournaments as well. It also borders on a strawman, as my approach was not designed to precisely reflect the odds between only one of the hardest 2013 tournaments vs a specific 2020 event, but rather roughly corrects across periods. - Do you further realize that arguing like this from an era/period-perspective also argues against Rogue’s and Maru’s case? - What adjustment would you find appropriate? Overall it is rather the modern Koreans that benefitted in this metric, as Serral, Clem and mostly Reynor were missing in the GSLs that they won. Of course Serral wouldn’t have the same tournament win percentage had he been a full-time pro at his peak playing in the prime era. But the win percentages of INno, Rain, etc. would drop as well, had Mvp, Serral and Clem played there. I explained this already in the article. “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? This would be much more fruitful if you didn’t try to rely on notions like my method was not statistical, keep using arguments that have been addressed or straight out deny that Serral was penalized on several occasions, which he clearly was. Talk about the points ratio in the tournaments or the era-multiplier or your preferred weighting. Or - as you by your own account don’t care for statistical GOAT debates anyway - simply stay out of them. But making unsubstantiated accusations like me making a Serral GOAT-calculator or repeating the same already addressed notions is absolutely ridiculous. Again, your criteria modifiers are either neutral, bonuses, or penalties to Serral depending on whether they serve as an appropriate baseline compared to expectations. I thought you understood this and were purposefully obscuring the point, but maybe you just don't understand? You gave a 20% bonus for every year pre-2018 in your tournament win %. What this resulted in was at most a 5% increase for players like Life, but for others it was negligible. The question then becomes, for the Korean pros, who mostly participated in GSL and other KILs that were extremely hard to win, does this account for the expected differential in tournament win %? I don't think it does, and I don't think most people who have followed professional SCII think it does. I just want to be clear about your model, because it's important to admit the pro-Serral bias. You literally are saying that the odds of any pro winning the GSL in 2018 are the same as the odds of winning a Dreamhack masters event. Like I said, your model is full of these (deliberate?) confusions in which you claim you are penalizing Serral but you are actually giving him huge bonuses. It's common sense, because the only way you get to Serral = 5X the GOAT of Rogue is by giving him bonuses. Again, it's time to stop pretending you are objective about this. It's really super obvious to everyone you are not. Yes, I understand that. That is why I gave explanations in the article and multiple threads how I arrived at the different era-multipliers for different metrics. But one can have a pretty solid approximation based on statistical regression or calculating how your tournament win chances go down at certain match win rates when you add a round or two. So while the multipliers carry some sort of arbitrariness, it can be approximated to a sufficient level (at least in my opinion). You are committing a fallacy once again if you look only at hard tournaments. Which Korean Pro participated in mostly these tournaments? Can you give an example? And wouldn't your logic be true in the modern era as well, if certain players only participated in tougher tournament formats? Or when the best player of the world was missing? Or the top three? But I still don't see that as a Serral-bias. Because it is not Serral's fault that other contenders from his era were not able to win these potentially "easier" tournaments over him. One could actually reason from this observation, that the Korean Pros win rates are inflated in the tournaments where Serral did not participate. But to address your core critique here: I can incorporate a tournament-multiplier similar to the one in the tournament score here... that's a valid idea. Ooooor: I could incorporate the amount of GSLs since Serral turned full time pro and count them as straight out losses for Serral.. would that make you happy, even though he would still be ahead of Maru and Rogue (That's actually quite an amusing fun fact, don't you think, WombaT  )? And as you seem to dodge certain questions/follow ups, I will post them again to highlight that you are simply not discussing in good faith here: - Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote how I did not include this correction, which is detrimental to Serral? - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? And yes, Life - like all other tournament results from pre-2018 got a 20% positive adjustment, which pushed his tournament win percentage by 5%. What exactly is your point here? On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Don't do all of them. Do one more at a time... no worries. You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save my time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above. I also don't hide behind criticism... I incorporated the critique from the last article and I will do so in the new version as well. It is not my fault that you are unable to make proper points (except the thing you mentioned about the 20% era modifier, where you didn't reply to my question what kind of multiplier you would deem acceptable... so tell me your number and how you actually arrived at it, similar to my reasoning). You're not demonstrating that you actually understand the point. Do you understand that, quite literally, what you are describing as a "penalty" to Serral could be a "bonus"? How would you know if it were one or the other? You don't actually articulate this in any of your methodology. If you want to be transparent, you need to stop saying that you are giving Serral "penalties" and say that you feel this is an appropriate modifier but that if you are wrong, it could be a "bonus" to Serral. Whether you are giving Serral penalties versus bonuses is a debatable proposition (I and many others think you're giving him bonuses for all the reasons we've explained). But the fact that it could be either a penalty or a bonus (or neither) is not debatable. And the fact that you wrote thousands of words about your methodology without even addressing this basic methodological point nullifies the validity of your entire model. It's an issue across each of your criteria. Let me explain it in a way that can be super duper easy to understand. GOAT #1 plays exclusively in tournaments with Bronze league players. GOAT #2 plays exclusively in tournaments with 80-90% of the world's best players. GOAT #1 has a tournament win % of 90%. GOAT #2 has a tournament win % of 30%. Although you don't feel it's necessary, you add 20% to GOAT #2, bumping his tournament win rate up to 36%. In this example, has GOAT #1 been "penalized" or given a "bonus"? Also, LOL that you only became a Serral fanboy after seeing your results. Even if that were true, it's honestly kind of sad. Are you just a fan of whoever your model tells you to be a fan of??? Do you realize when you say stuff like this that it has the opposite effect of what you're going for? Are you familiar with the famous Shakespeare quote "the lady doth protest too much"? Give the quote where I said that Serral is receiving a penalty, where he actually has not been given one and I simply made a contextual adjustment like in your example. Arbitrary and biased are two different things... they can overlap, but are not synonymous. Perhaps all this trouble stems from this misunderstanding. And as you still refuse to engage properly: - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote?
You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save myself time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above. This is your quote: "Maru benefits from this correction in two years, Rogue in one, Serral in no year." You are claiming that Serral got no benefit from your modifier, but that's entirely dependent on the validity of your modifier (whether it's too high, too low, or just right). If your modifier is too low, then the opposite of what you are claiming would be true: Serral would "benefit" in every year. But even assuming you feel you got your modifier just right, then your statement is still not accurate because the modifier would provide no "benefit" to anyone...it would simply make a necessary adjustment to turn applies into oranges for purposes of the comparison. Do you understand now? I don't understand your question about non-prime years, but basically I think compared to all your GOAT contenders Serral both played in easier-to-win tournaments and also had a much easier path to qualify for premier tournaments, therefore significantly increasing the number of premier tournaments he has won. Most Korean GOAT contenders regularly failed to qualify for one or more premier tournaments each year, sometimes they didn't even qualify for the world championships. FWIW, based on the subjective way I think about GOATs, I would NOT penalize Serral for this, but if I were trying to genuinely and objectively find a mathematical way to calculate GOATs, you would need to (and you do not). Basically I think you significantly underestimate how hard it is to win a KIL and qualify for premier tournaments as a Korean pro during the region lock-eras. It was dramatically worse when there were hundreds of active Korean pros, but it remained a factor until very recently. Many would disagree, but I would argue that until maybe 2022 (whenever they got rid of the double group stages and standalone finals), winning a GSL was as hard as if not harder than winning a world championship or certainly a season global finals. But you certainly do not need to fully or even partially agree to understand the methodological issues I'm raising. So your whole issue is with this wording? So if I wrote "Adjustments can never be perfectly correct. In relation to that "perfect true adjustment" we cannot definitely know which player subsequently benefited or got penalized. But the adjustment had a positive effect on Maru's base result in 2 years... etc." you'd be ok with it? Show nested quote +On July 17 2025 05:05 rwala wrote:On July 17 2025 00:16 WombaT wrote:On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Why are you assuming that the ranking score = Serral being 5x better than Rogue? Sabalenka in women’s tennis is close to double the points of Swiatek in the current WTA rankings. But nobody takes that to mean that she’s twice as good at tennis right now. Serral having 5x more points on weighting doesn’t equal a claim that he’s 5x the GOAT. Premo showed their numbers, if you disagree with the weighting then the option is there to do your own. If we’re going off numbers and stats, I don’t see any way to crown Rogue the GOAT that isn’t specifically designed to do that. He wasn’t a competitive tournament contender in the Kespa era, and he wasn’t as consistent, nor won as much as Serral or Maru in the post-Kespa era. If you took someone who understood how competitive games function, who knew nothing of StarCraft and got them to model it, they’ll pick similar metrics to Premo. Because outside of vibes that is literally how you figure out who the most consistently dominant player is. They won’t be able to account for the eras and whatnot specific to SC2’s history, which does complicate things. But the idea that these are Serral biased is beyond absurd. Tournaments won, tournaments won versus entries, average placement, overall win percentage and time spent as #1 in a ranking system are literally how GOATs are determined in every individual sport I follow, alongside intangibles of course. Stats aren’t biased towards Serral, he’s overwhelmingly the best in so many metrics that, if you want to determine a GOAT based on stats without adjustment he just wins, easily. If you want to make reasonable adjustments to factor in a shifting scene, it’s still very hard to lock him out, but a case can be made. Another option is to go on vibes and intangibles, alongside or instead of stats. Which I’ve said many times I’m absolutely fine with, greatness isn’t necessarily ‘the best’, it’s coming in clutch, it’s breaking new ground etc. I’m ok with both approaches, on record as such many times. But if one is going to criticise Premo’s methodology then suggest an actual alternative. He’s showed his working on plenty of metrics, so one doesn’t even have to do the busy work. It’s also a bit laughable to me that we’re even going back to criticise Premo’s effort in a thread where an alternate attempt was assigning arbitrary multipliers as high as 4x and had the (statistically) greatest SC2 player at 11th To understand why these metrics could be biased in Serral's direction, read my analysis of the tournament win % criteria and you can apply this to almost all the criteria. You may not agree with me that a KIL in 2013 is 5X harder to win than a 2020 Dreamhack Masters, but if you believe it is 1.21X or more harder to win, then mathematically Premo's model is Serral-biased for you as well whether you want to believe that or not. That's just how predictive modeling works. It's the same logic for why a company can post record profits and still have their stock price decrease when those profits are announced (because they nonetheless underperformed expectations). An approach that places numerical measures of success in their appropriate context is not just "vibes" my friend. As I've said many times, you cannot justify the literal Greatest, Muhammed Ali, based exclusively on "statistics". His 5 losses are too many and his win % is too low compared to many boxers that retire undefeated. His stats are impressive enough, but certainly not what makes him the GOAT. And as I've also said, when you get so deep into the numbers and stats, you can forget what greatness really means and end up with weird results like crowing Shane Battier the basketball GOAT. And as I've also said, my issue is not with Serral being the GOAT, I think he's a great GOAT pick for almost the same logic that Babe Ruth is a great baseball GOAT pick. Re: Rogue as the GOAT, just watch the Artosis video. He does not need thousands of confusing words and a calculator to tally up Rogue's incredible accomplishments. He's absolutely a valid GOAT pick. As is, imho, Mvp. If I were making a list, I'd do it like Miz did it, more or less, which is to place statistics and numbers into their appropriate context of what made each GOAT contender truly a GOAT. This is what every GOAT list does, and why every GOAT calculator is doomed to fail. There is no objective way to calculate a GOAT, period. Admitting that doesn't require you to just go off vibes, but it does require you to have a nuanced and historically grounded understanding of greatness. To me this is very simple. Serral has zero results in this game's most competitive era and tournaments. His results are nonetheless so impressive that you could definitely say he's the GOAT but it's also totally fine if you pick a GOAT who played and showed results when there were hundreds of pros competing in the most prestigious e-sport leagues and tournaments on the planet. Objective, yes. Perfectly in line with "the truth", no. But again, that does not mean we cannot get pretty close. Everyone would agree that 2018-2020 should not receive a positive adjustment for comparisons against 2013-2015. No sane person would argue that 2013-2015 should receive a 10x positive adjustment against 2018-2020, as it would be way too much. Thus we approximate era-multipliers. And yes, you are correct, that these adjustments won't be perfect, but they will get us close enough if we take into consideration all the thoughts I posted in the article and the subsequent threads (inflations, tournament structure, who played in which tournament and who didn't). I will end this with a take on clearing things up once and for all: 1. You and Charoisaur are correct in saying that adjustments are either a buff, penalty or perfectly correct (which is with near certainty not possible). An undervalued buff can be seen as a penalty and vice-versa. 2. Because of the - in your opinion - insufficient 20% multiplier, you are saying that Serral received a buff because the adjustment was not penalizing him enough (could be the case and that is where we can find closer proximity discussing era-multipliers). But this is also targeting all post-2018 results... not only Serral's. If Serral received a buff from this kind of reasoning, so did Maru, Rogue and INno's post-2018 results. 3. My point is that Serral did - on multiple occasions - not receive the SAME TREATMENT as the others. For example: The adjustment of inflated match win rates: You are correct in saying that Serral probably had an easier way into some tournaments, although I doubt that he wouldn't have gotten in via Global Qualifiers in the end.. but that means at the same time, that the Koreans played qualifiers where they could boost their match win rates versus weaker Koreans, whereas Serral statistically more often faced the top of the tops. I would have needed to upwardly adjust his numbers, which I did not do, thus it qualifies as a clear penalty. It was a deliberate decision to not include this match win rate boost that Serral would need to rightfully receive. One could further argue that if you didn't make it through harder qualifiers into a tournament you wouldn't have won anyways, you were saved from a worse tournament win percentage result  I hope that clears it up. If you want to discuss the era-multiplier or how I arrived at it in detail, we can do that. Otherwise, I already suggested to qualify the played tournaments in the tournament win percentage similar to the tournament score, so we get a higher resolution for this metric. Cheers.
LOL, don't tell that to Rogue. The guy barely qualified for his first world championship. SOS also barely qualified for his 2015 and 2013 world championships. And Life barely qualified in 2014. Every year, multiple Korean championship contenders have missed out on the global finals. Just in 2017 alone, Classic, Maru, SOS, Solar, Byun, Ryung, Trap, and Dear failed to qualify while Neeb, Serral, Snute, Elazer, Nerchio, TRUE, Kelazhur, and Special got the region-lock handicap spots. You don't even need to speculate since a lot of these players played consistently in GSL, but wouldn't have gotten enough points to qualify via GSL...they coasted in via the global circuit slots. In the case of TRUE, the guy literally was a GSL player and moved to the United States and then qualified. Quite literally the 2017 world championship was half-filled with players that demonstrably can't hang in GSL.
I'm genuinely curious: when you do the "one could argue" thing like you're doing here, is it that you actually believe this? Or you think maybe if you make some random counterargument it'll make your model look stronger?
Regarding your methodology, my issue isn't just wording, though it is true your wording is hiding what your model is actually doing. If you agree that KILs are 3,4,5X harder to win than modern era region-locked "premiere" tourneys, then your modifiers are way out of whack, substantively and numerically. In which case--as I think you now concede--Serral is getting huge bonuses in your model. Of course we do not agree on the substance of the modifiers, but that's the important debate/discussion. You can't say your modifiers are objectively more correct than mine.
I also don't agree that breaking things down by eras/timeframes is sufficient to account for the differences in tournament competitiveness and quality. In fact, GSL (and SSL) has been the strongest, most competitive tournament until very recently. Even as recently as 2022, former world and GSL champions had to win a mini-tournament filled with other championship-tier players to even qualify, at which point you're still fighting through two group stages to make it to the playoff bracket. All these GSL rounds are filled with former champions and champion-snipers. By contrast, the Dreamhacks in 2022 were filled with players like Has, Cham, MeomaikA, Botvinnik, DnS, NIce, Krystianer, Kelazhur, Probe, Mana, ShadoWn, Vindicta, Trigger, Uthermal, Lambo, and Elazer. Even the B-tier, non-championship contenders in GSL like Bunny can be hella scary snipers on any given day.
One of the areas where I think you miss the mark is assuming that because GSL, SSL, etc. never had Serral, it's basically a wash. I don't think that's right. Tournaments--especially in the formats that SCII has often run them--are basically gauntlets that you need to run. The presence or absence of any one player--even the GOAT--is not as relevant as the overall quality of the pool of players.
Anyways, all these things have been discussed before...
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On July 17 2025 08:41 WombaT wrote: @Premo 4x is utterly bonkers. 16 makes much more sense.
One thing that I think goes under the radar in the current epoch, but I suppose I have to mention.
Most international weekenders are absolutely stacked. And have been for a while. The top 4 in the world are basically always there, and you’ve usually got all, or a considerable chunk of the top 10-15
This wasn’t always the case, going back to WoL initially you had a few of Korea’s best, and a bunch of foreigners who weren’t at that level. The Korean numbers did bump up over time. Then at peak Kespa you had teams prioritising Proleague and sometimes the fields weren’t nearly as strong as they could have been.
One can look at tournament wins in various eras and the quality of field can vary hugely.
Of course, KILs in the first 5 years of the game, insanely hard to win one of those.
But I think it goes a bit undermentioned that many of Serral’s, Maru’s (or whoever else) post 2017 wins in international weekenders are basically all against stacked fields.
This is just not true. See the very back-of-napkin comparison of GSL in 2022 to Dreamhack Masters in 2022. They are all like that with nearly half the players being outside of the top 30, many not even in the top 50.
I think literally in 2025 it's becoming more true with Serral, Clem, and Reynor being legit championship contenders, but winning tournaments is still much more about running a gauntlet than facing any one player. The hardest tournaments to win are ones where nearly every player is a sniper that has a decent chance of taking out a championship contender and where most of the players are current or former champions. I don't think it's particularly shocking that a guy like Bunny has been trying to make a GSL finals for over a decade and instead made his first "premiere" finals at one of the handful of international events he participated in (Dreamhack Masters).
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On July 17 2025 10:30 rwala wrote:Show nested quote +On July 17 2025 05:50 PremoBeats wrote:On July 17 2025 05:29 rwala wrote:On July 17 2025 04:36 PremoBeats wrote:On July 17 2025 04:17 rwala wrote:On July 17 2025 02:12 PremoBeats wrote:On July 16 2025 23:04 rwala wrote:On July 15 2025 19:31 PremoBeats wrote:On July 15 2025 17:32 Charoisaur wrote:On July 15 2025 03:59 rwala wrote: [quote]
You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers.
Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho.
In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs.
This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model.
At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing.
The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points.
Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria.
Well said rwala's reply consists mostly of straw men, false comparisons and already addressed arguments... what exactly do you think is well said about it? On July 15 2025 03:59 rwala wrote:On July 13 2025 21:29 PremoBeats wrote: [quote] I think that quote was put there unironically to highlight the sarcastic over-the-top nature of the article.
But why do you mischaracterize what was happening? I wrote in the article that I did not come up with this weighting. I even posted the exact quote that I inserted into ChatGTP so that everyone can check it. Since then, I admitted several times that the weighting is off and even proposed a different one, where Aligulac and match win rates only make up 5% each. Also I never propped Serral lol. He gets penalized the most by subjective decisions I had to make (including non-prime years in tournament win percentage and leave out the inflation-bonus in the match win rate). I remember being asked in the comments of my first article, if I would post the results, if changing the methodology of the original article would mean that Serral would not come out on top in any of the metrics. Well, as it is obvious now, I have no issue accepting that Serral is not the best in tournament win percentage. But it seems like people are trying to critique my result without actually addressing any core methodological feature (except for weighting, which was explained weeks ago). What I would find more troubling than obvious weighting issues is a GOAT ranking that presents itself as statistical but in the end is a post-hoc feeling based scripture.
And of course you can make a ranking that is a lot more objective than someone's gut feeling. Not being in alignment with every subjective feeling for era-difference or tournament distinctions does not mean that going as close as possible in a statistical evaluation is the same as a random StarCraft II player that thinks this or that player is the GOAT. We can very clearly see from the statistical evaluation that Serral is way ahead of Maru and Rogue in the time-frame that they played together. We can see that Life was ahead of Rain. We can also see what everyone subjectively thought for a long time: That Rogue has pretty mixed results. Plus, subjectivity can be put into a bare minimum. 1. We need a point/ranking system for the tournaments (similar to what Miz and I did) 2. We need some kind of era-multiplier for different time brackets in terms of how hard it was to win (This can also be calculated more or less ok-ish as well) OR come to the conclusion that all time periods were the same, which I doubt is realistic or correct 3. Decide which metrics are the most important and then add a weighting (the community here and on reddit already agree that tournament score and tournament win participation are the most important
These are all the subjective things one needs and the community will probably come to a close proximity. But, even in the case that we have heavy disagreements here: When I revise my method one more time, I will try to make it in a way that people can tell me their desired ratios and I can post the result based on these suggestions. When all my excels are interlinked, I can easily take community suggestions for these three and we can look at how hard we would need to torture the data to make this or that player come out on top. You do not penalize Serral, though I think we all understand rhetorically why you say you do. You give him bonuses. A lot of them. And you only admit it when people call out the more obvious and ridiculous ways in which you do it like your 20% Aligulac weighting. The basic logical error you make is that you are calling all your criteria modifiers "penalties" to Serral but whether they are penalties or bonuses entirely depends on baselines versus expectations in your modifiers. Take your tournament win % criteria. Again you call your 20% (or whatever it was) modifier a "penalty" to Serral. But the question is whether that is too high or too low or just right given that Serral competed exclusively in tournaments that are significantly easier to win than KILs, which have dozens and sometimes hundreds of additional competitors, harder groups stages, more group stages, etc. If it's just right, there's no penalty or bonus to Serral, if it's too high, it's a penalty to Serral, and if it's too low, it's a bonus to Serral. I simply do not agree that the 20% discount reflects the comparative odds of winning a 2020 Dreamhack Masters versus a 2013 GSL or SSL. It's probably 5X easier to win the former than the latter imho. In this specific example, though, it doesn't even matter because it's actually a bonus to Serral irrespective of whether the 20% modifier is right or wrong as he is the only player on your GOAT list that does not have his tournament win % diluted by participation in the signiifcantly-harder-to-win KILs. This is only one example of how you claim to be penalizing Serral when you're actually giving him bonuses in your model. This kind of logical error permeates your model. At first I was giving you the benefit of the doubt that you did not understand some of these concepts in predictive modeling, but it's pretty clear that you do and are just hoping that others do not understand so you can get away with saying over and over again that you are penalizing Serral. Your entire goal is to say that no matter how much you penalize Serral, he is the GOAT, and because you're so focused on this, it's producing many errors and requiring you to go to great lengths to obscure what it is you are doing. The simple fact is that your model giving Serral 2X the GOAT points of the next highest GOAT and 5X the GOAT points of Rogue is on its face not credible. You try to get around this by hiding behind your methodology, but in just a very cursory review of your methodology like I've done here reveals huge errors, almost all of which are designed to give Serral bonus GOAT points. Wouldn't it be better at this point just to admin you've created a Serral = GOAT calculator? It's totally legitimate to call Serral the GOAT--he's probably most people's GOAT, even most players probably think he's the GOAT. You created a highly subjective model to crown Serral the GOAT. It's no different than this GOAT list, just different subjective criteria. It is not rhetorical to say that I penalized Serral, because I did: 1a. Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote that I did not include this correction, which is detrimental to Serral? 1b. Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? 2. In the article - as well as multiple times in the other thread (and even in the very post you commented on and directly to you in the other thread!!) I explained that this weighting was proposed by ChatGTP. I still don't understand why you keep pounding on that, tbh. As WombaT wrote out in the other thread, the weighting is entirely superfluous. The most important revelation was that most players have mixed results, while Serral is dominating them all. You make it seem like the weighting was there to push Serral, which is not the case. You have no proof for this accusation. On the contrary, I posted the exact text that I used to let ChatGTP decide on the weighting, to let you guys double check. I only did so because I knew based on the results, that the weighting does not change in the first place and I couldn’t decide on a specific weighting, which I explained ad nauseam in the article as well as in the comments. First place would only change with an insane weighting-setup for efficiency… then Life (who most people disregard anyway) would be on top, with Serral being 2nd. Arguing with the weighting result is utterly pointless… As this is your (and other critics) biggest point which you all come back to every time, I doubt that is much more substance to gain from you guys. 3a. In the tournament win %, similar to most metrics, I discounted all region-locked tournaments. This is a penalty to Serral, although a needed one to deny his easier tournament wins. But still it is a penalty; especially to deny them entirely, as Korean pros had rather easy tournament wins as well. 3b. You might disagree that the bonus is not enough according to your subjective feeling. My reasoning for using 20%: I explained in detail why a larger player pool, especially in mostly tier 2, 3 and 4 players, would not decrease a tournament win percentage that much. - doubling the player pool would most likely mean just one extra round. If that round was a group stage, it would naturally mean that you’d have to play more lower tier player statistically, boosting your match win rate - I reasoned that this fact means that average place would need a higher era-multiplier than tournament win percentage - Now looking at Serral’s average win rate of around 82% in his years from 2018-2024 subtracted with 2% (some lower match win for era but also considering that his win rates are deflated versus the Koreans because of 1a, also taking into account that earlier group stages are easier to win than knockout brackets), these more rounds would mean a win probability of roughly 80%. As an example: going from 4 rounds to 5 rounds would statistically mean a win probability dropping from 40% to 33%, meaning a loss of 17,5% or a boost of 21,2%. - Now, comparing DH 2020 to a GSL or SSL 2013: Not all tournaments that other players have won were a GSL though. What about the 2013 Hot6ix Cup or ASUS ROG NorthCon? And didn’t Serral win uberly stacked tournaments as well? You are committing a false equivalence/improper comparison fallacy here. In essence, you are right that one can’t compare a GSL to a DH. But that is also not what I did. There were not only GSLs in 2013 (as a matter of fact, there was only one) and Serral won more stacked tournaments as well. It also borders on a strawman, as my approach was not designed to precisely reflect the odds between only one of the hardest 2013 tournaments vs a specific 2020 event, but rather roughly corrects across periods. - Do you further realize that arguing like this from an era/period-perspective also argues against Rogue’s and Maru’s case? - What adjustment would you find appropriate? Overall it is rather the modern Koreans that benefitted in this metric, as Serral, Clem and mostly Reynor were missing in the GSLs that they won. Of course Serral wouldn’t have the same tournament win percentage had he been a full-time pro at his peak playing in the prime era. But the win percentages of INno, Rain, etc. would drop as well, had Mvp, Serral and Clem played there. I explained this already in the article. “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? This would be much more fruitful if you didn’t try to rely on notions like my method was not statistical, keep using arguments that have been addressed or straight out deny that Serral was penalized on several occasions, which he clearly was. Talk about the points ratio in the tournaments or the era-multiplier or your preferred weighting. Or - as you by your own account don’t care for statistical GOAT debates anyway - simply stay out of them. But making unsubstantiated accusations like me making a Serral GOAT-calculator or repeating the same already addressed notions is absolutely ridiculous. Again, your criteria modifiers are either neutral, bonuses, or penalties to Serral depending on whether they serve as an appropriate baseline compared to expectations. I thought you understood this and were purposefully obscuring the point, but maybe you just don't understand? You gave a 20% bonus for every year pre-2018 in your tournament win %. What this resulted in was at most a 5% increase for players like Life, but for others it was negligible. The question then becomes, for the Korean pros, who mostly participated in GSL and other KILs that were extremely hard to win, does this account for the expected differential in tournament win %? I don't think it does, and I don't think most people who have followed professional SCII think it does. I just want to be clear about your model, because it's important to admit the pro-Serral bias. You literally are saying that the odds of any pro winning the GSL in 2018 are the same as the odds of winning a Dreamhack masters event. Like I said, your model is full of these (deliberate?) confusions in which you claim you are penalizing Serral but you are actually giving him huge bonuses. It's common sense, because the only way you get to Serral = 5X the GOAT of Rogue is by giving him bonuses. Again, it's time to stop pretending you are objective about this. It's really super obvious to everyone you are not. Yes, I understand that. That is why I gave explanations in the article and multiple threads how I arrived at the different era-multipliers for different metrics. But one can have a pretty solid approximation based on statistical regression or calculating how your tournament win chances go down at certain match win rates when you add a round or two. So while the multipliers carry some sort of arbitrariness, it can be approximated to a sufficient level (at least in my opinion). You are committing a fallacy once again if you look only at hard tournaments. Which Korean Pro participated in mostly these tournaments? Can you give an example? And wouldn't your logic be true in the modern era as well, if certain players only participated in tougher tournament formats? Or when the best player of the world was missing? Or the top three? But I still don't see that as a Serral-bias. Because it is not Serral's fault that other contenders from his era were not able to win these potentially "easier" tournaments over him. One could actually reason from this observation, that the Korean Pros win rates are inflated in the tournaments where Serral did not participate. But to address your core critique here: I can incorporate a tournament-multiplier similar to the one in the tournament score here... that's a valid idea. Ooooor: I could incorporate the amount of GSLs since Serral turned full time pro and count them as straight out losses for Serral.. would that make you happy, even though he would still be ahead of Maru and Rogue (That's actually quite an amusing fun fact, don't you think, WombaT  )? And as you seem to dodge certain questions/follow ups, I will post them again to highlight that you are simply not discussing in good faith here: - Do you deny that the Koreans played more lower tier players in comparison to Serral? Or do you deny that I wrote how I did not include this correction, which is detrimental to Serral? - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote? And yes, Life - like all other tournament results from pre-2018 got a 20% positive adjustment, which pushed his tournament win percentage by 5%. What exactly is your point here? On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote: [quote] trying to paint me as a die-hard Serral-fanboy
Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Don't do all of them. Do one more at a time... no worries. You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save my time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above. I also don't hide behind criticism... I incorporated the critique from the last article and I will do so in the new version as well. It is not my fault that you are unable to make proper points (except the thing you mentioned about the 20% era modifier, where you didn't reply to my question what kind of multiplier you would deem acceptable... so tell me your number and how you actually arrived at it, similar to my reasoning). You're not demonstrating that you actually understand the point. Do you understand that, quite literally, what you are describing as a "penalty" to Serral could be a "bonus"? How would you know if it were one or the other? You don't actually articulate this in any of your methodology. If you want to be transparent, you need to stop saying that you are giving Serral "penalties" and say that you feel this is an appropriate modifier but that if you are wrong, it could be a "bonus" to Serral. Whether you are giving Serral penalties versus bonuses is a debatable proposition (I and many others think you're giving him bonuses for all the reasons we've explained). But the fact that it could be either a penalty or a bonus (or neither) is not debatable. And the fact that you wrote thousands of words about your methodology without even addressing this basic methodological point nullifies the validity of your entire model. It's an issue across each of your criteria. Let me explain it in a way that can be super duper easy to understand. GOAT #1 plays exclusively in tournaments with Bronze league players. GOAT #2 plays exclusively in tournaments with 80-90% of the world's best players. GOAT #1 has a tournament win % of 90%. GOAT #2 has a tournament win % of 30%. Although you don't feel it's necessary, you add 20% to GOAT #2, bumping his tournament win rate up to 36%. In this example, has GOAT #1 been "penalized" or given a "bonus"? Also, LOL that you only became a Serral fanboy after seeing your results. Even if that were true, it's honestly kind of sad. Are you just a fan of whoever your model tells you to be a fan of??? Do you realize when you say stuff like this that it has the opposite effect of what you're going for? Are you familiar with the famous Shakespeare quote "the lady doth protest too much"? Give the quote where I said that Serral is receiving a penalty, where he actually has not been given one and I simply made a contextual adjustment like in your example. Arbitrary and biased are two different things... they can overlap, but are not synonymous. Perhaps all this trouble stems from this misunderstanding. And as you still refuse to engage properly: - Do you deny that including non-prime years, which I did, penalizes/hurts Serral the most according to the data? - “Again you call your 20% (or whatever it was) modifier a "penalty" to Serral” Can you give the exact quote?
You are either intellectually unable or unwilling to understand that the proposed weighting that put Serral at 5 times the points of Rogue was established by ChatGTP. I let the AI do it because the final result would not have changed and I wanted to save myself time, unnecessarily defending the weighting (oh boy, that didn't quite work out, huh?). I further already proposed a different weighting and at least half a dozen times told you about this. So every time you go on about this already addressed issue I simply post this paragraph, similar to the questions above. This is your quote: "Maru benefits from this correction in two years, Rogue in one, Serral in no year." You are claiming that Serral got no benefit from your modifier, but that's entirely dependent on the validity of your modifier (whether it's too high, too low, or just right). If your modifier is too low, then the opposite of what you are claiming would be true: Serral would "benefit" in every year. But even assuming you feel you got your modifier just right, then your statement is still not accurate because the modifier would provide no "benefit" to anyone...it would simply make a necessary adjustment to turn applies into oranges for purposes of the comparison. Do you understand now? I don't understand your question about non-prime years, but basically I think compared to all your GOAT contenders Serral both played in easier-to-win tournaments and also had a much easier path to qualify for premier tournaments, therefore significantly increasing the number of premier tournaments he has won. Most Korean GOAT contenders regularly failed to qualify for one or more premier tournaments each year, sometimes they didn't even qualify for the world championships. FWIW, based on the subjective way I think about GOATs, I would NOT penalize Serral for this, but if I were trying to genuinely and objectively find a mathematical way to calculate GOATs, you would need to (and you do not). Basically I think you significantly underestimate how hard it is to win a KIL and qualify for premier tournaments as a Korean pro during the region lock-eras. It was dramatically worse when there were hundreds of active Korean pros, but it remained a factor until very recently. Many would disagree, but I would argue that until maybe 2022 (whenever they got rid of the double group stages and standalone finals), winning a GSL was as hard as if not harder than winning a world championship or certainly a season global finals. But you certainly do not need to fully or even partially agree to understand the methodological issues I'm raising. So your whole issue is with this wording? So if I wrote "Adjustments can never be perfectly correct. In relation to that "perfect true adjustment" we cannot definitely know which player subsequently benefited or got penalized. But the adjustment had a positive effect on Maru's base result in 2 years... etc." you'd be ok with it? On July 17 2025 05:05 rwala wrote:On July 17 2025 00:16 WombaT wrote:On July 16 2025 23:19 rwala wrote:On July 16 2025 02:14 PremoBeats wrote:On July 16 2025 01:59 Charoisaur wrote:On July 16 2025 01:27 PremoBeats wrote:On July 15 2025 22:06 Harris1st wrote: I mean you are both arguing that Serral is the GOAT with the only difference by how large a margin.
trying to paint me as a die-hard Serral-fanboy Well, you certainly are lol, we can all see your post history. That doesn't mean that every ranking you ever come up with should be instantly disregarded but in your first iteration the Serral bias was definitely far too strong and obvious. I was using strong language because I was hyped by the results... I even acknowledged that the hype-language was over the top. Perhaps I became a slight fanboy then, who knows. But if it happened, it was because of the results, that still are pretty robust. To quote WombaT from another thread: "I try to be as unbiased as I can, I think I don’t appear so merely because others are so biased that an attempt at neutrality appears biased to them." I ask you again: Do you have any criticism about methodology except the ones we already discussed? Did I understand your metric proposal correctly that it is basically pretty much the same as my tournament score looked at through a yearly lense? A method which I didn't apply for any other metric that went into the final result? I could point out dozens of issues with your methodology like the ones I and others have already pointed out, but candidly I have a day job so don't have time. It's also not super fruitful when you fail to admit your obvious bias, and how much it's skewing your methodology and results. Do you really think Serral is 5X the GOAT of Rogue? Do you think hiding behind your methodology that crumbles every time someone looks into it will shield you from criticism when you are displaying results like this? Why are you assuming that the ranking score = Serral being 5x better than Rogue? Sabalenka in women’s tennis is close to double the points of Swiatek in the current WTA rankings. But nobody takes that to mean that she’s twice as good at tennis right now. Serral having 5x more points on weighting doesn’t equal a claim that he’s 5x the GOAT. Premo showed their numbers, if you disagree with the weighting then the option is there to do your own. If we’re going off numbers and stats, I don’t see any way to crown Rogue the GOAT that isn’t specifically designed to do that. He wasn’t a competitive tournament contender in the Kespa era, and he wasn’t as consistent, nor won as much as Serral or Maru in the post-Kespa era. If you took someone who understood how competitive games function, who knew nothing of StarCraft and got them to model it, they’ll pick similar metrics to Premo. Because outside of vibes that is literally how you figure out who the most consistently dominant player is. They won’t be able to account for the eras and whatnot specific to SC2’s history, which does complicate things. But the idea that these are Serral biased is beyond absurd. Tournaments won, tournaments won versus entries, average placement, overall win percentage and time spent as #1 in a ranking system are literally how GOATs are determined in every individual sport I follow, alongside intangibles of course. Stats aren’t biased towards Serral, he’s overwhelmingly the best in so many metrics that, if you want to determine a GOAT based on stats without adjustment he just wins, easily. If you want to make reasonable adjustments to factor in a shifting scene, it’s still very hard to lock him out, but a case can be made. Another option is to go on vibes and intangibles, alongside or instead of stats. Which I’ve said many times I’m absolutely fine with, greatness isn’t necessarily ‘the best’, it’s coming in clutch, it’s breaking new ground etc. I’m ok with both approaches, on record as such many times. But if one is going to criticise Premo’s methodology then suggest an actual alternative. He’s showed his working on plenty of metrics, so one doesn’t even have to do the busy work. It’s also a bit laughable to me that we’re even going back to criticise Premo’s effort in a thread where an alternate attempt was assigning arbitrary multipliers as high as 4x and had the (statistically) greatest SC2 player at 11th To understand why these metrics could be biased in Serral's direction, read my analysis of the tournament win % criteria and you can apply this to almost all the criteria. You may not agree with me that a KIL in 2013 is 5X harder to win than a 2020 Dreamhack Masters, but if you believe it is 1.21X or more harder to win, then mathematically Premo's model is Serral-biased for you as well whether you want to believe that or not. That's just how predictive modeling works. It's the same logic for why a company can post record profits and still have their stock price decrease when those profits are announced (because they nonetheless underperformed expectations). An approach that places numerical measures of success in their appropriate context is not just "vibes" my friend. As I've said many times, you cannot justify the literal Greatest, Muhammed Ali, based exclusively on "statistics". His 5 losses are too many and his win % is too low compared to many boxers that retire undefeated. His stats are impressive enough, but certainly not what makes him the GOAT. And as I've also said, when you get so deep into the numbers and stats, you can forget what greatness really means and end up with weird results like crowing Shane Battier the basketball GOAT. And as I've also said, my issue is not with Serral being the GOAT, I think he's a great GOAT pick for almost the same logic that Babe Ruth is a great baseball GOAT pick. Re: Rogue as the GOAT, just watch the Artosis video. He does not need thousands of confusing words and a calculator to tally up Rogue's incredible accomplishments. He's absolutely a valid GOAT pick. As is, imho, Mvp. If I were making a list, I'd do it like Miz did it, more or less, which is to place statistics and numbers into their appropriate context of what made each GOAT contender truly a GOAT. This is what every GOAT list does, and why every GOAT calculator is doomed to fail. There is no objective way to calculate a GOAT, period. Admitting that doesn't require you to just go off vibes, but it does require you to have a nuanced and historically grounded understanding of greatness. To me this is very simple. Serral has zero results in this game's most competitive era and tournaments. His results are nonetheless so impressive that you could definitely say he's the GOAT but it's also totally fine if you pick a GOAT who played and showed results when there were hundreds of pros competing in the most prestigious e-sport leagues and tournaments on the planet. Objective, yes. Perfectly in line with "the truth", no. But again, that does not mean we cannot get pretty close. Everyone would agree that 2018-2020 should not receive a positive adjustment for comparisons against 2013-2015. No sane person would argue that 2013-2015 should receive a 10x positive adjustment against 2018-2020, as it would be way too much. Thus we approximate era-multipliers. And yes, you are correct, that these adjustments won't be perfect, but they will get us close enough if we take into consideration all the thoughts I posted in the article and the subsequent threads (inflations, tournament structure, who played in which tournament and who didn't). I will end this with a take on clearing things up once and for all: 1. You and Charoisaur are correct in saying that adjustments are either a buff, penalty or perfectly correct (which is with near certainty not possible). An undervalued buff can be seen as a penalty and vice-versa. 2. Because of the - in your opinion - insufficient 20% multiplier, you are saying that Serral received a buff because the adjustment was not penalizing him enough (could be the case and that is where we can find closer proximity discussing era-multipliers). But this is also targeting all post-2018 results... not only Serral's. If Serral received a buff from this kind of reasoning, so did Maru, Rogue and INno's post-2018 results. 3. My point is that Serral did - on multiple occasions - not receive the SAME TREATMENT as the others. For example: The adjustment of inflated match win rates: You are correct in saying that Serral probably had an easier way into some tournaments, although I doubt that he wouldn't have gotten in via Global Qualifiers in the end.. but that means at the same time, that the Koreans played qualifiers where they could boost their match win rates versus weaker Koreans, whereas Serral statistically more often faced the top of the tops. I would have needed to upwardly adjust his numbers, which I did not do, thus it qualifies as a clear penalty. It was a deliberate decision to not include this match win rate boost that Serral would need to rightfully receive. One could further argue that if you didn't make it through harder qualifiers into a tournament you wouldn't have won anyways, you were saved from a worse tournament win percentage result  I hope that clears it up. If you want to discuss the era-multiplier or how I arrived at it in detail, we can do that. Otherwise, I already suggested to qualify the played tournaments in the tournament win percentage similar to the tournament score, so we get a higher resolution for this metric. Cheers. LOL, don't tell that to Rogue. The guy barely qualified for his first world championship. SOS also barely qualified for his 2015 and 2013 world championships. And Life barely qualified in 2014. Every year, multiple Korean championship contenders have missed out on the global finals. Just in 2017 alone, Classic, Maru, SOS, Solar, Byun, Ryung, Trap, and Dear failed to qualify while Neeb, Serral, Snute, Elazer, Nerchio, TRUE, Kelazhur, and Special got the region-lock handicap spots. You don't even need to speculate since a lot of these players played consistently in GSL, but wouldn't have gotten enough points to qualify via GSL...they coasted in via the global circuit slots. In the case of TRUE, the guy literally was a GSL player and moved to the United States and then qualified. Quite literally the 2017 world championship was half-filled with players that demonstrably can't hang in GSL. I'm genuinely curious: when you do the "one could argue" thing like you're doing here, is it that you actually believe this? Or you think maybe if you make some random counterargument it'll make your model look stronger? Regarding your methodology, my issue isn't just wording, though it is true your wording is hiding what your model is actually doing. If you agree that KILs are 3,4,5X harder to win than modern era region-locked "premiere" tourneys, then your modifiers are way out of whack, substantively and numerically. In which case--as I think you now concede--Serral is getting huge bonuses in your model. Of course we do not agree on the substance of the modifiers, but that's the important debate/discussion. You can't say your modifiers are objectively more correct than mine. I also don't agree that breaking things down by eras/timeframes is sufficient to account for the differences in tournament competitiveness and quality. In fact, GSL (and SSL) has been the strongest, most competitive tournament until very recently. Even as recently as 2022, former world and GSL champions had to win a mini-tournament filled with other championship-tier players to even qualify, at which point you're still fighting through two group stages to make it to the playoff bracket. All these GSL rounds are filled with former champions and champion-snipers. By contrast, the Dreamhacks in 2022 were filled with players like Has, Cham, MeomaikA, Botvinnik, DnS, NIce, Krystianer, Kelazhur, Probe, Mana, ShadoWn, Vindicta, Trigger, Uthermal, Lambo, and Elazer. Even the B-tier, non-championship contenders in GSL like Bunny can be hella scary snipers on any given day. One of the areas where I think you miss the mark is assuming that because GSL, SSL, etc. never had Serral, it's basically a wash. I don't think that's right. Tournaments--especially in the formats that SCII has often run them--are basically gauntlets that you need to run. The presence or absence of any one player--even the GOAT--is not as relevant as the overall quality of the pool of players. Anyways, all these things have been discussed before...
"Just in 2017 alone, Classic, Maru, SOS, Solar, Byun, Ryung, Trap, and Dear failed to qualify ". So either one of them or not a single one would have won a "either-you-win-or-you-don't"-metric. This observation proves the following: - This is an insanely though metric to score high in. - A player, who does not qualify under normal circumstances and doesn't have his tournament win percentage negatively affected, suddenly has a patch benefitting him and wins the next big tourney. Compare that to a player who regularly qualifies, goes even into the finals but does not win as often. I wouldn't try to reconcile that fact in the tournament win percentage as I don't think it has a huge impact, but that is where tournament score, aligulac or the average place metric come in to compensate for this metric's weakness. This is not about me trying to make my model look stronger... this is a valid observation that needs thought for making the model stronger in the future with potential changes, if they are needed. It is a much more valid idea than comparing a DH2020 with a 2013 GSL though 
Well, I can make arguments why I arrived at a 20% modifier, while you so far only made a false comparison between DH2020 and GSL2013. I made a statistical calculation on doubling the top player count, I gave reasons as to why it was easier to win in the prime era (players dispersed among more tournaments), why it was harder in the prime era (more competitiveness) or why it was even harder in the modern era (lesser tournaments meant that the best of the best played in the fewer events). I don't need to recycle them all... but again: Give me all your arguments and tell me what number you deem adequate and we can discuss.
And I already agreed that we need more than era to qualify between tournaments... hence I made the proposal to use a similar system as in the tournament score, as that was a correct critique.
Well, we can approximately calculate which scenario inhibits your chances more. Having one monster in the tournament, or even doubling the amount of players. I assume the following numbers for 2018 as an example calculation: - Serral with a 87% win rate (this time I include the finding lowest number of findings about match win rate inflations) - As only Zest, Dark, Maru and TY had (barely) over 65% this year and even pros like INno, Rogue, etc. had less, I'd say adding more players at an average 65% win rate is completely over the top, but I'll ride with it. Let's say, we double the player pool with another 32 players of that caliber. So we put a lot more high tier players into the pool, as most pros had lesser win rates over the years. Again: This is not even remotely rooted in reality, as the average win rates are far from 65%, even for the most elite players in the history of the game. - I calculate a single elimination. - You yourself have a 65% win rate - We are doubling the players and thus add one more extra round - You meet the 87% player somewhere in the knockout phase
Aspects: - One can face the 87% player in the group stage. It lowers your chances to advance but you can still stomp the others. - Facing that guy in the knockout bracket will lower your chances immensely, especially as these have less randomness because of more games per match.
Model 1 - Original: Group stage 1 (4 player group of which 2 players advance) Group stage 2 (same) Playoffs: QF -> SF -> Final (3 knockout matches)
Model 2 - Doubling the player pool for Model 1 with 1 extra group stage
Model 3 - adding one player at 87% into model 1.
Model 1 gives you a win chance of 13,9%. Model 2 8,85% and Model 3 2,57%.
This rather easy model has weaknesses of course, but you understand that adding another monster like Reynor in 2021 or 3 monsters back when Serral, Reynor and Clem were duking it out for the 1st and 2nd Aligulac rank or even Clem since mid 2023 into a GSL is more impactful to your own win rate than doubling the player pool with one extra stage, even when we assume that these players are way above the historic average. And I used 2018 as this was before the 2020 chances where GSL went from a Ro32 to a Ro24. The fewer players your model 1 has, the more impact the very strong player, that did not participate, packs. This observation is further important for GOAT contenders, as the higher your own win rate is, the more probable it is that you advance through more group stages. Thus facing the one insanely strong player is the biggest threat to your win chances. And I never said that GSLs were a wash. I simply make the argument that I made no rightful negative adjustment towards GSL when the best players of the world were not present in them, which according to your own logic would mean giving a bonus to Koreans. I am simply applying your own logic here (as you argue that Serral was given a bonus for insufficient adjustment, this is the same case... to which I again add: Not only Serral. All results of INno, Maru and Rogue post 2018 as well would have this "bonus", as you still frame it as me preferring Serral, whereas this also applies heavily to Maru and Rogue too).
Now comparing GSL and DH from January 2022: GSL season 1had an average of rank 18,35 in the Ro20 and 15,10 in the Ro10. No Clem, no Serral, no Reynor. DH Last Chance had 10,75 in Ro16 and 9,00 in Ro8. Even leaving the calculating example aside... having 3 out of the top 10 missing is a huge deal, no? Or differently said: a bigger impact than having 6 top 10-20 players missing. This is reflected by my methodology in assessing the average rank of players who were in the tournament.
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Northern Ireland25283 Posts
On July 17 2025 10:44 rwala wrote:Show nested quote +On July 17 2025 08:41 WombaT wrote: @Premo 4x is utterly bonkers. 16 makes much more sense.
One thing that I think goes under the radar in the current epoch, but I suppose I have to mention.
Most international weekenders are absolutely stacked. And have been for a while. The top 4 in the world are basically always there, and you’ve usually got all, or a considerable chunk of the top 10-15
This wasn’t always the case, going back to WoL initially you had a few of Korea’s best, and a bunch of foreigners who weren’t at that level. The Korean numbers did bump up over time. Then at peak Kespa you had teams prioritising Proleague and sometimes the fields weren’t nearly as strong as they could have been.
One can look at tournament wins in various eras and the quality of field can vary hugely.
Of course, KILs in the first 5 years of the game, insanely hard to win one of those.
But I think it goes a bit undermentioned that many of Serral’s, Maru’s (or whoever else) post 2017 wins in international weekenders are basically all against stacked fields. This is just not true. See the very back-of-napkin comparison of GSL in 2022 to Dreamhack Masters in 2022. They are all like that with nearly half the players being outside of the top 30, many not even in the top 50. I think literally in 2025 it's becoming more true with Serral, Clem, and Reynor being legit championship contenders, but winning tournaments is still much more about running a gauntlet than facing any one player. The hardest tournaments to win are ones where nearly every player is a sniper that has a decent chance of taking out a championship contender and where most of the players are current or former champions. I don't think it's particularly shocking that a guy like Bunny has been trying to make a GSL finals for over a decade and instead made his first "premiere" finals at one of the handful of international events he participated in (Dreamhack Masters). Fair enough they don’t always cram quite so many of the top 10-15 as I’d assumed, but the fields are usually pretty stacked, and pretty deeply.
I was less contrasting the modern weekender to a KIL than I am a weekender in the ‘Serral era’ to those of WoL thru to the end of Kespa. Which could be hugely variable in how many top dogs were actually present.
I mean one could also observe that Solar and Cure have won GSLs in the past half a decade, with Solar adding a Super Tournament, and have been super competitive in internationals but not triumphed. Or guys like Creator, DRG or Armani having statement GSL runs but not really doing it in internationals. I don’t think this necessarily counts against those players or GSL, but there’s plenty of counter-examples to Bunny.
It really depends who the players actually are and their relative abilities as to what’s harder or otherwise in running the gauntlet.
Let’s say I made a golf tournament and invited the world’s top 10, then invited 50 thru 100. There’s not a crazy gap, it’s mostly consistency that sets the top dogs apart from the rest. It’s still quite the gauntlet, but if I decided to cut the lower guys and just go for the top 60, it’ll be that bit harder.
However, if I kept my initial ranking selection, but swapped out a player for prime Tiger Woods via time travel, that’s going to be a tougher one to actually win than the one with the top 60 players, even if the average field is stronger.
It’s really only for me a factor that Serral specifically has been missing, perhaps 2024 and onwards Clem that skews things a bit.
Assuming the player adjusts to the outside factors when it comes into competing in GSL and brings a similar level of performance. You’re introducing someone who’s got 70%+ win rates against a lot of the field.
Someone like Reynor even in his best shape can win any tournament, but he’s not as dominant or consistent. He’s in that bracket of being able to beat anyone, but he can lose to players in his bracket, or even lower.
Put another way, if Serral was merely narrowly the best player in the world at various junctures, I don’t think his respective absence/presence from GSL/internationals moves the needle much.
If, however he’s rocking his absurd win rates, including a 75, 80+, even a 92% (Cure) against actual GSL champions, then I think it absolutely does.
I’d personally fancy my chances more if worse players than me were swapped out for a few more close to my level, than if the worse players remained but a bloke got inserted in that I have a 25% win rate against, or worse.
I don’t think it necessarily means modern weekenders are harder, GSL has format and lifestyle challenges as well (although the prep element is reduced these days).
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