eatmydeek vs Dragunov | 63–52 | 54.78% |
eatmydeek vs Jin | 57–50 | 53.27% |
eatmydeek vs Hwoarang | 54–49 | 52.43% |
eatmydeek vs Kazuya | 45–44 | 50.56% |
eatmydeek vs Paul | 51–34 | 60.00% |
eatmydeek vs Bryan | 37–45 | 45.12% |
eatmydeek vs Lili | 49–30 | 62.03% |
eatmydeek vs King | 46–32 | 58.97% |
eatmydeek vs Asuka | 34–37 | 47.89% |
eatmydeek vs Law | 38–32 | 54.29% |
eatmydeek vs Steve | 32–35 | 47.76% |
eatmydeek vs Reina | 31–35 | 46.97% |
eatmydeek vs Yoshimitsu | 36–29 | 55.38% |
eatmydeek vs Xiaoyu | 24–32 | 42.86% |
eatmydeek vs Victor | 29–25 | 53.70% |
eatmydeek vs Lee | 25–27 | 48.08% |
eatmydeek vs Jack-8 | 21–21 | 50.00% |
eatmydeek vs Devil Jin | 14–25 | 35.90% |
eatmydeek vs Eddy | 25–14 | 64.10% |
eatmydeek vs Nina | 19–18 | 51.35% |
eatmydeek vs Azucena | 21–15 | 58.33% |
eatmydeek vs Feng | 25–10 | 71.43% |
eatmydeek vs Jun | 19–16 | 54.29% |
eatmydeek vs Alisa | 16–18 | 47.06% |
eatmydeek vs Lars | 21–12 | 63.64% |
eatmydeek vs Lidia | 17–15 | 53.12% |
eatmydeek vs Leo | 12–19 | 38.71% |
eatmydeek vs Leroy | 18–10 | 64.29% |
eatmydeek vs Heihachi | 16–12 | 57.14% |
eatmydeek vs Clive | 16–10 | 61.54% |
eatmydeek vs Claudio | 13–12 | 52.00% |
eatmydeek vs Kuma | 9–13 | 40.91% |
eatmydeek vs Zafina | 11–7 | 61.11% |
eatmydeek vs Shaheen | 5–11 | 31.25% |
eatmydeek vs Raven | 9–5 | 64.29% |
eatmydeek vs Panda | 4–4 | 50.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.