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Datamined Game Win/Loss Statistics - Page 2

Forum Index > SC2 General
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3clipse
Profile Blog Joined September 2008
Canada2555 Posts
July 15 2010 19:36 GMT
#21
Nice stuff. Confirms the change I thought occurred- Diamond is now top 10% rather than 20%.
koppik
Profile Joined April 2010
United States676 Posts
July 15 2010 19:58 GMT
#22
Oh, a global EU ladder ranking would be nice too~
EccoEcco
Profile Joined May 2010
United States61 Posts
July 15 2010 19:58 GMT
#23
On July 16 2010 04:16 Chriamon wrote:
I think some of this data is going to be misinterpreted. Having similar overall win % doesn't mean much. You should only count games that are vs other diamond players, and go by specific matchups as well.


While I'll agree that this isn't end all be all data (Certainly, the sample size is still small), actual data from aggregate results is a lot more significant than the anecdotal evidence that's been dominating the discussion thus far.

A little induction would suggest it means each race has a success rate against the other two races that averages out equally.

(TvP + TvZ)/2 = (PvT + PvZ)/2 = (ZvT + ZvP)/2 with a deviation of <2% at both diamond level and general play.

That means that if Terran were truly overpowered against Zerg and dominating that match-up, then Terran would have to be equally underpowered against Protoss to generate such a close winning percentage to the other 2 races. Until that result is ruled out, its a possibility and Rock>Paper>Scissor is not the intended balance, but I for one, would be surprised if that were the case. Particularly because of how consistent the numbers are at both the general and top level.
There is a reward for losing: an opportunity to learn and improve.
muffley
Profile Blog Joined May 2010
United States280 Posts
Last Edited: 2010-07-15 20:01:16
July 15 2010 20:00 GMT
#24
Currently, the website doesn't include information about match-ups, or individual games even. So what is in the OP is the only possible information that can be gotten from there. Some can even be wrong (but I think statistically it evens out), because all that's shown is "Favorite Race", which includes 2v2s, 3v3s, etc.

EDIT: Global ladder information is possible too, I guess.
ashaman771
Profile Joined April 2010
Canada114 Posts
July 15 2010 20:11 GMT
#25
What site is this information coming from??
The Dead Room Podcast, check it out!
Logo
Profile Blog Joined April 2010
United States7542 Posts
Last Edited: 2010-07-15 20:17:32
July 15 2010 20:16 GMT
#26
On July 16 2010 04:58 EccoEcco wrote:
Show nested quote +
On July 16 2010 04:16 Chriamon wrote:
I think some of this data is going to be misinterpreted. Having similar overall win % doesn't mean much. You should only count games that are vs other diamond players, and go by specific matchups as well.


While I'll agree that this isn't end all be all data (Certainly, the sample size is still small), actual data from aggregate results is a lot more significant than the anecdotal evidence that's been dominating the discussion thus far.

A little induction would suggest it means each race has a success rate against the other two races that averages out equally.

(TvP + TvZ)/2 = (PvT + PvZ)/2 = (ZvT + ZvP)/2 with a deviation of <2% at both diamond level and general play.

That means that if Terran were truly overpowered against Zerg and dominating that match-up, then Terran would have to be equally underpowered against Protoss to generate such a close winning percentage to the other 2 races. Until that result is ruled out, its a possibility and Rock>Paper>Scissor is not the intended balance, but I for one, would be surprised if that were the case. Particularly because of how consistent the numbers are at both the general and top level.


There's more to it than that because it assumes that all races are rated equally. The matchmaking system works to ensure 50% win ratios. If we want to use this kind of information it has to be based on things like average player ratings by race or some aggregate stat like average player rating/# of games
Logo
Excalibur_Z
Profile Joined October 2002
United States12238 Posts
July 15 2010 20:16 GMT
#27
On July 16 2010 04:36 3clipse wrote:
Nice stuff. Confirms the change I thought occurred- Diamond is now top 10% rather than 20%.


How is that a change? According to my estimate it's always been this way...
Moderator
duBstar
Profile Joined July 2010
United States57 Posts
July 15 2010 20:17 GMT
#28
On July 16 2010 05:11 ashaman771 wrote:
What site is this information coming from??


The official beta website from battle.net
We are what we repeatedly do, therefore excellence is not an act but a habit.
MangoTango
Profile Blog Joined June 2010
United States3670 Posts
July 15 2010 20:18 GMT
#29
Excellent post, 5/5, would read again. Surprised to see how precisely balanced the game is.
"One fish, two fish, red fish, BLUE TANK!" - Artosis
Alou
Profile Blog Joined March 2010
United States3748 Posts
July 15 2010 20:18 GMT
#30
Nice statistics. Always nice to see how balanaced the wins/losses are for each race.
Life is Good.
Silu
Profile Joined June 2010
Finland165 Posts
July 15 2010 20:19 GMT
#31
On July 16 2010 04:20 Logo wrote:
Any chance you could release the program and/or run the same on US and Asia?

Even better if you make it an open source program on something like github or sourceforge so more people can pitch in on it.


Yeah my intention was to run it for US and Asia as well, currently doing US as I finished iterating through 10k EU profile numbers (got around 6k actual hits = profiles with 1v1 games played). Takes forever though, for a great part because of the subpar implementation I guess As I said I just threw it together to get some funny numbers fast, I'm sort of a sucker for statistics as well.

I don't think what was used here is very useful as a baseline for more extensive analysis as the HTML parsing is very quick&dirty Anyhow if someone is really interested the (Java) code is here.

what website is this data from?


http://beta-eu.battle.net/sc2/en/ - the profile URLs are of type http://beta-eu.battle.net/sc2/en/profile/PROFILE_NUMBER/1/ , where PROFILE_NUMBER is simply a (roughly) sequential index starting from 1 so it's possible to iterate through them.
oursblanc
Profile Joined April 2010
Canada1450 Posts
July 15 2010 20:21 GMT
#32
Great information, thanks.
An oasis of horror in a desert of boredom!
Excalibur_Z
Profile Joined October 2002
United States12238 Posts
July 15 2010 20:22 GMT
#33
Silu, thanks for the data. Could you parse through the leagues to determine the number of players in each league? I'd like to update my ladder analysis post with confirmed results beyond the diamond level.
Moderator
Silu
Profile Joined June 2010
Finland165 Posts
July 15 2010 20:38 GMT
#34
On July 16 2010 05:22 Excalibur_Z wrote:
Silu, thanks for the data. Could you parse through the leagues to determine the number of players in each league? I'd like to update my ladder analysis post with confirmed results beyond the diamond level.


Hmm, you mean just the amount of players in each of Bronze/Silver/Gold/Plat/Dia? From the EU data I gathered already, this is the distribution:

Bronze: 1424
Silver: 1579
Gold: 1795
Platinum: 584
Diamond: 600


Probably very skewed from the very low amount of games played and the vast majority of people going in Bronze/Silver/Gold from placement matches.
Excalibur_Z
Profile Joined October 2002
United States12238 Posts
July 15 2010 20:43 GMT
#35
On July 16 2010 05:38 Silu wrote:
Show nested quote +
On July 16 2010 05:22 Excalibur_Z wrote:
Silu, thanks for the data. Could you parse through the leagues to determine the number of players in each league? I'd like to update my ladder analysis post with confirmed results beyond the diamond level.


Hmm, you mean just the amount of players in each of Bronze/Silver/Gold/Plat/Dia? From the EU data I gathered already, this is the distribution:

Bronze: 1424
Silver: 1579
Gold: 1795
Platinum: 584
Diamond: 600


Probably very skewed from the very low amount of games played and the vast majority of people going in Bronze/Silver/Gold from placement matches.


Yeah I don't see anything conclusive yet, we'll probably just have to wait for more data. It would be pretty strange to have them 10%/10%/30%/25%/25%. Diamond makes sense because you have to be promoted into it, but we may have to wait a few more days to get some more concrete info about the other leagues. Thanks!
Moderator
NuKedUFirst
Profile Blog Joined March 2010
Canada3139 Posts
Last Edited: 2010-07-15 20:50:10
July 15 2010 20:49 GMT
#36
On July 16 2010 04:14 jamesr12 wrote:
Show nested quote +
On July 16 2010 04:11 DeckTech wrote:
Nice!
Any idea how many players there are in the diamond league in total?


350 just add them up

Other interesting things:

350/3151 = 11% so diamond leauge is around 11% of all players

19933 total games played in diamond leauge, that is 28.475 games per player in diamond.
note: 2 players in each game



!!!!!
These statistics
diamond league is hilarious I mean seriously.. the # of baddies i've met in the ladder so far..too funny, I'm surprised they are in the 11%..

around a 50% win ratio all round..I'd say that is pretty balanced.

On July 16 2010 05:38 Silu wrote:
Show nested quote +
On July 16 2010 05:22 Excalibur_Z wrote:
Silu, thanks for the data. Could you parse through the leagues to determine the number of players in each league? I'd like to update my ladder analysis post with confirmed results beyond the diamond level.


Hmm, you mean just the amount of players in each of Bronze/Silver/Gold/Plat/Dia? From the EU data I gathered already, this is the distribution:

Bronze: 1424
Silver: 1579
Gold: 1795
Platinum: 584
Diamond: 600


Probably very skewed from the very low amount of games played and the vast majority of people going in Bronze/Silver/Gold from placement matches.


It's kinda funny how the drop off is regardless of placement.
FrostedMiniWeet wrote: I like winning because it validates all the bloody time I waste playing SC2.
professorjoak
Profile Joined July 2008
318 Posts
July 15 2010 20:50 GMT
#37
Excellent work. At one point some friends and I were trying to datamine all the TSL ladder games to see which maps and openings were the least balanced, but we had trouble detecting duplicate games (i.e. the same game listed in both the winner's and loser's folder, so for instance a duplicated T>Z game would count as 2 T>Z's) so we couldn't get good statistics. If you assume that the distribution of duplicate games in TSL is representative of the total population of games, then we found the only map to not be within 52-48 every matchup was Gaia (which had very few games on it anyway), while all of the following maps were balanced despite having very different distributions of build orders: Blue Storm, Katrina, Python, Tau Cross, Troy and Zodiac.
"The different branches of Arithmetic -- Ambition, Distraction, Uglification, and Derision." --Lewis Carroll
EccoEcco
Profile Joined May 2010
United States61 Posts
July 15 2010 20:50 GMT
#38
+ Show Spoiler +
On July 16 2010 05:16 Logo wrote:
On July 16 2010 04:58 EccoEcco wrote:
Show nested quote +
On July 16 2010 04:16 Chriamon wrote:
I think some of this data is going to be misinterpreted. Having similar overall win % doesn't mean much. You should only count games that are vs other diamond players, and go by specific matchups as well.


While I'll agree that this isn't end all be all data (Certainly, the sample size is still small), actual data from aggregate results is a lot more significant than the anecdotal evidence that's been dominating the discussion thus far.

A little induction would suggest it means each race has a success rate against the other two races that averages out equally.

(TvP + TvZ)/2 = (PvT + PvZ)/2 = (ZvT + ZvP)/2 with a deviation of <2% at both diamond level and general play.

That means that if Terran were truly overpowered against Zerg and dominating that match-up, then Terran would have to be equally underpowered against Protoss to generate such a close winning percentage to the other 2 races. Until that result is ruled out, its a possibility and Rock>Paper>Scissor is not the intended balance, but I for one, would be surprised if that were the case. Particularly because of how consistent the numbers are at both the general and top level.


There's more to it than that because it assumes that all races are rated equally. The matchmaking system works to ensure 50% win ratios. If we want to use this kind of information it has to be based on things like average player ratings by race or some aggregate stat like average player rating/# of games


Curses, i totally forgot about the matchmaking system and its nefarious data skewing. WTB complete access to back end data... and a monogrammed white lab coat.
There is a reward for losing: an opportunity to learn and improve.
Keitzer
Profile Blog Joined May 2010
United States2509 Posts
July 15 2010 20:55 GMT
#39
On July 16 2010 04:14 jamesr12 wrote:
Show nested quote +
On July 16 2010 04:11 DeckTech wrote:
Nice!
Any idea how many players there are in the diamond league in total?


350 just add them up

Other interesting things:

350/3151 = 11% so diamond leauge is around 11% of all players

19933 total games played in diamond leauge, that is 28.475 games per player in diamond.
note: 2 players in each game




eh, im guessing its a flat 10%, but b/c its group based and not rating based, its more/less 10%
I'm like badass squared | KeitZer.489
Gescom
Profile Joined February 2010
Canada3483 Posts
July 15 2010 21:34 GMT
#40
Scary how balanced these numbers look.
Jaedong Hyuk || Bisu Jangbi || Fantasy Flash
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