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1v1 Matchup data for 9th to 17th of May

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Date Editor Before After
6/5/2018 11:30:07 PMUSrankFealthas before revert after revert
Before After
1 I really don't think we can draw any conclusions from games that are not 2500+ and <100 elo difference. Things get sooo lopsided around ~200 elo difference that balance doesn't matter for shit when the higher elo player just wins due to being so much better. 1 I really don't think we can draw any conclusions from games that are not 2500+( below this is E-stall-K) and <100 elo difference. Things get sooo lopsided around ~200 elo difference that balance doesn't matter for shit when the higher elo player just wins due to being so much better.
2 \n 2 \n
3 This data would have much more validity if it adjusted for player WHR and if that caused deviation from expected winrates. 3 This data would have much more validity if it adjusted for player WHR and if that caused deviation from expected winrates.
4 \n
5 Plus, with such a small sample size for each matchup, you can't honestly claim anything. Yes the winratio might be .64, but it is wrong to say that statistically and rather say its .64 +- .333 or whatever, giving a probability that the true value is in between .33 and .98 or whatever, making these numbers effectively useless.