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Xaeldaren
Ireland588 Posts
On September 17 2011 02:41 TheLight wrote: Here's a Excel 2000 template: http://www.mediafire.com/?h1cd1f2kdj16p6f Just put in your numbers and it'll do the rest for you. Thank you so much!  | ||
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byanymeans
United States27 Posts
I really thing making the chart with the sq of various top players would be interesting | ||
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ReAson75
United States130 Posts
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OneBk
Sweden157 Posts
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Bobbias
Canada1373 Posts
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Wuster
1974 Posts
On September 17 2011 02:13 MrBarryObama wrote: What surprised me the most was that protoss creates the least workers on average! I assumed it would be terran, since they have mules and protoss have chrono boost. Could it be that protoss expands the least, on average? Or that typically protoss loses the fewest probes? I was wondering about this as well. My first thought was it must be counting Mules, but by the time the first mule is out, Protoss should have a worker lead unless they're chrono-ing tech/units. The divergence appears to start at the 5-6 minute mark. It's possible for Terran to start the FE by then, but is it possible for the Terran to actually build from it to explain the difference? I know PvP is also the matchup with the latest expansion timing, so that could be dragging down Protoss as well? Also, I wonder if this is being skewed by 4-gate, since you stop at 20 or so probes which is really early. Other than the 11/11, Terran openings/all-ins don't involve cutting workers do they (they super delay the expansion or pull workers to junk your economy)? | ||
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andycz
288 Posts
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MapleLeafSirup
Germany950 Posts
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CScythe
Canada810 Posts
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Ammoth
Sweden391 Posts
And as Terran its between 50-60. Maybe I should have stayed Protoss ^^^ Anyway great job by OP. Really interesting stuff. Someone awesome should make a kickass spreadsheet! Nvm, seems the awesome people are faster than me as well! GJ on spreadsheet! | ||
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NmE_
United States87 Posts
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Anachromy
United States194 Posts
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Demonhunter04
1530 Posts
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OneBk
Sweden157 Posts
On September 17 2011 02:41 Impervious wrote: Wow. Awesome stuff! Seriously, this is a good idea. We should contact the wizzard of sc2gears!^^ | ||
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Eurytos
Singapore97 Posts
I do have a question though for the SQ(spending quotient) part. As a fellow academician doing a physics degree with experience in modelling. What are the constraints of your SQ formula. Also, could you explain further on the derivation of it? My guess is that the SQ formula is an empirical formula based on the existing data that you had in hand. If that is the case, my suggestion is to collect a different set of data and compare whether the distribution fits the formula or not. Once again, thank you for this truly educational post!! | ||
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alepov
Netherlands1132 Posts
are you a wizard? | ||
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LittLeD
Sweden7973 Posts
I applaud you, best sir. | ||
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Verator
United States283 Posts
The way data is calculated, the length of masters/ GM games and the time spent maxed on army values would skew the results lower than the actual, and comparative difference in usage of macro mechanics also would stratify the leagues far more. Additionally, 100 games per league is far too few to really encompass a proper range, the likelihood of having a predominant trend in games or matchups is far too likely. (Ex. 2/3 of the protoss replays could easily be PvP.) The idea is good though, and props on putting in the effort! Though, I can't help but feel a lot of the time spent doing this could be reduces or automated to be more accurate. | ||
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Xaeldaren
Ireland588 Posts
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Aando
1304 Posts
SQ_avg = 57 SQ_max = 85 SQ_min = 37. So if I'd take the SQ to it's edge one could say that at my best I macro like a GM and at my worst I macro like a bronzer! xD | ||
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