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Data analysis on 8 million games - Page 4

Forum Index > BW General
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Dakota_Fanning *
Profile Joined January 2008
Hungary2357 Posts
October 13 2023 06:09 GMT
#61
I've already handed over a new dataset including 8.5 million games with MMR info included. Be patient until Kraekkling can analyze the new dataset and extract meaningful stats.
https://repmastered.icza.net
iloveav
Profile Joined November 2008
Poland1478 Posts
October 13 2023 07:25 GMT
#62
Based on this data, 6 pool i op zvp.
aka LRM)Cats_Paw.
sexyMIStrZZZ
Profile Joined June 2023
Poland11 Posts
October 13 2023 08:13 GMT
#63
On October 13 2023 15:09 Dakota_Fanning wrote:
I've already handed over a new dataset including 8.5 million games with MMR info included. Be patient until Kraekkling can analyze the new dataset and extract meaningful stats.

How are you gonna know that data about 8.5m games? People change nicknames all the time and the MMR varies over time... Hard to imagine the MMR data to be any accurate.
Dakota_Fanning *
Profile Joined January 2008
Hungary2357 Posts
October 13 2023 08:23 GMT
#64
On October 13 2023 17:13 sexyMIStrZZZ wrote:
Show nested quote +
On October 13 2023 15:09 Dakota_Fanning wrote:
I've already handed over a new dataset including 8.5 million games with MMR info included. Be patient until Kraekkling can analyze the new dataset and extract meaningful stats.

How are you gonna know that data about 8.5m games? People change nicknames all the time and the MMR varies over time... Hard to imagine the MMR data to be any accurate.

The data is from Blizzard ladder, and the MMRs are from the time when the game was played.
https://repmastered.icza.net
TMNT
Profile Joined January 2021
3011 Posts
October 13 2023 10:06 GMT
#65
You don't care about the players. I guess you just treat the mmr of the winner of each game as a sample, regardless of the mmr of the loser:
1st sample: Terran - 2300 - win
2nd sample : Protoss - 2100 - win
....
8000000th sample: Zerg 2000 - win

Or you can only take the games where both players are in a same range of mmr, say 2100-2300, then 2300-2500,...and leave all the games that have a mmr discrepancy out.

I think you could do both. Interesting to see if there is a big difference between the two methods.
Kraekkling
Profile Blog Joined June 2007
527 Posts
Last Edited: 2023-10-13 11:16:24
October 13 2023 11:08 GMT
#66
I was thinking about something like

- mmr difference between players < 200 (can be adjusted to be looser or tighter)
- determine "match-mmr" by taking the mean of the mmr of both players
- present results in "match-mmr"-brackets, e.g. 1800-2000, 1900-2100, 2000-2200,..., 2400++, etc

I'll likely try out a few things to see where we run into problems due to low statistics.

I'm looking for input on of how to group the games/players, feel free to suggest ideas.

I've already handed over a new dataset including 8.5 million games with MMR info included. Be patient until Kraekkling can analyze the new dataset and extract meaningful stats.


I'll probably get to it on the weekend.
(*^^)(^*)
Kraekkling
Profile Blog Joined June 2007
527 Posts
Last Edited: 2023-10-13 11:25:08
October 13 2023 11:15 GMT
#67
On October 13 2023 16:25 iloveav wrote:
Based on this data, 6 pool i op zvp.


That's not how I would read it. What we see in the data just means that at this point in the game, it is much more likely for Zerg to win, because those are the games which end because the 6pool was successful. But games where the Protoss manages to defend will be longer and you can't pinpoint a single point in time where we expect Protoss to convert their advantage into a win.

You're likely to instantly win games with a successful rush - but you don't instantly win games where you successfully defended a rush.

We see this in all matchups - the race which has the "quickest rush" will win more games in the very early period of the game.
(*^^)(^*)
TMNT
Profile Joined January 2021
3011 Posts
Last Edited: 2023-10-13 11:58:49
October 13 2023 11:56 GMT
#68
Come to think of it. There are many interesting ways to work with this data.

Kraekkling, can you do something like "Race vulnerability vs mmr"? That is
- you filter out all the games where the mmr difference is 300 or less, meaning you'll only work with games where there is a 300+ mmr diffrence (A)
- you count the games where the loser is the one with higher mmr (B)
- then (B)/(A) is your "vulnerability rate" of the race, which reflects how a supposedly better player can be beaten by a supposedly weaker player by cheese/luck/build order...

Of course you'd do that for each mmr range to see when a race becomes more solid. From instinct we'd probably say Terran is the most vulnerable while Zerg is probably the most resistant from dying by cheese. And I guess at higher ranks when skill improves we'd see all 3 races become less vulnerable. But it'd be nice to see it represented with numbers.

Also I'd expect to see B rank Protosses win the most vs players 300 mmr higher than them lol.
WombaT
Profile Blog Joined May 2010
Northern Ireland25956 Posts
October 13 2023 12:02 GMT
#69
Solid work there! Will give it a proper read when I’m free but very interesting skim so far
'You'll always be the cuddly marsupial of my heart, despite the inherent flaws of your ancestry' - Squat
NotJumperer
Profile Blog Joined July 2005
United States1371 Posts
October 13 2023 12:59 GMT
#70
--- Nuked ---
sexyMIStrZZZ
Profile Joined June 2023
Poland11 Posts
October 14 2023 09:29 GMT
#71
On October 13 2023 17:23 Dakota_Fanning wrote:
Show nested quote +
On October 13 2023 17:13 sexyMIStrZZZ wrote:
On October 13 2023 15:09 Dakota_Fanning wrote:
I've already handed over a new dataset including 8.5 million games with MMR info included. Be patient until Kraekkling can analyze the new dataset and extract meaningful stats.

How are you gonna know that data about 8.5m games? People change nicknames all the time and the MMR varies over time... Hard to imagine the MMR data to be any accurate.

The data is from Blizzard ladder, and the MMRs are from the time when the game was played.

I hope the data will be reliable and if it will then I'm pretty confident that Protoss at a high level will be performing the worst out of all 3 races.
ZeroByte13
Profile Joined March 2022
775 Posts
Last Edited: 2023-10-14 12:14:58
October 14 2023 11:52 GMT
#72
On October 13 2023 03:56 sexyMIStrZZZ wrote:
because Terran becomes so overpowered that it dominates every high level ladder/high level tournament and that is an issue of balance.
Terran is so OP that in last 4 ASL tourneys top-8 were
ASL 13 - 3 T, 3 Z, 2 P
ASL 14 - 3 T, 3 Z, 2 P
ASL 15 - 2 T, 5 Z, 1 P
ASL 16 - 3 T, 4 Z, 1 P
Total - 11 T, 15 Z, 6 P

Top-16 were
ASL 13 - 4 T, 7 Z, 5 P
ASL 14 - 6 T, 6 Z, 4 P
ASL 15 - 6 T, 7 Z, 3 P
ASL 16 - 6 T, 6 Z, 3 P
Total - 22 T, 26 Z, 15 P

Protoss suck the most at the very top level, yeah.
But if anything - it's Zerg who's OP according to the ASL top-8 / top-16 statistics.
Of course, if you're looking only at top-1 or top-2...
sexyMIStrZZZ
Profile Joined June 2023
Poland11 Posts
October 15 2023 08:44 GMT
#73
The highest level is most definitely the worst for protoss, but I'm talking about high level, eg. 2000+ mmr on battlenet ladder, or basically just getting to the ASL is good enough. Protoss has been underperforming there for so many years.
Kraekkling
Profile Blog Joined June 2007
527 Posts
October 15 2023 18:00 GMT
#74
Added MMR data. Also added overall win rate numbers. + Show Spoiler +
tesagi confirmed
(*^^)(^*)
Crimson)S(hadow
Profile Blog Joined July 2007
Philippines587 Posts
October 15 2023 18:15 GMT
#75
wow, even more data to prove tesagi
"It's the end of the BW era which i devoted everything to for 10 years. I tried playing sc2, but my BW memories run too deep; I felt like I was playing an entirely different game" -ToSsGirL
IntoTheWow
Profile Blog Joined May 2004
is awesome32277 Posts
October 15 2023 19:23 GMT
#76
This is super cool, thanks for sharing
Moderator<:3-/-<
Cygnus
Profile Joined February 2004
United States846 Posts
October 15 2023 19:40 GMT
#77
Whoaa, this is awesome!
TMNT
Profile Joined January 2021
3011 Posts
October 15 2023 20:18 GMT
#78
One question: how do you get the error bars for each point of data? As I see, it's not like you have several win rates at each minute of the game and take an average of them. You have certain number of wins over a total number of games, and out of that you have 1 win rate at each minute. What do the error bars represent really?
Rainalcar
Profile Joined April 2010
Croatia419 Posts
October 15 2023 21:38 GMT
#79
On October 16 2023 03:00 Kraekkling wrote:
Added MMR data. Also added overall win rate numbers. + Show Spoiler +
tesagi confirmed


Completely expected. I am a bit surprised to see TvZ slightly more favoured to T than ZvP to Z though. One thing is beyond doubt though - P has it by far the hardest at pro level. If the game were updated, this would have been patched pronto.
j.r.r.
sexyMIStrZZZ
Profile Joined June 2023
Poland11 Posts
Last Edited: 2023-10-16 02:43:36
October 15 2023 21:48 GMT
#80
Arty if you're reading this you can always use any of the "valid" counterarguments below:

a) Terrans train harder, Snow and Dewalt don't. Don't ask, they just don't. Just check the ladder, terrans have the most games, it's not like you can just delete an account and create a new one within 20 seconds.
b) It's about the maps, the maps are the reason Terrans win
c) Have you seen how many games do Protosses win at 5 minute mark? That's absolutely disgusting
d) But when Jyj won ASL he played against Protoss only once and he lost that one game. Check-mate Protossists!
e) Have you seen any Terran beat Protoss that is 400 MMR higher than them?
f) Protoss has invisible units? That can't be fair, it's fucking bullshit
g) I believed that P>T for 20 years, so there's nothing that can convince me, you're just wrong
h) Someone messed up the data and its actually the other way around
i) Did you see Snow beat Flash? Well, you just gotta train harder, if he could do that then you can do it too (completely forgetting Snow's performance in the last ASL, that didn't happen at all guys)

Just remember - never talk about facts, at least not when they undoubtebly prove that Terran is overpowered at a high enough level (which here is already above 2000 MMR and probably even slightly below 2k if you check the stats closely).
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