| Eat_Him vs King | 78–116 | 40.21% |
| Eat_Him vs Bryan | 80–112 | 41.67% |
| Eat_Him vs Kazuya | 58–92 | 38.67% |
| Eat_Him vs Reina | 58–76 | 43.28% |
| Eat_Him vs Heihachi | 54–66 | 45.00% |
| Eat_Him vs Steve | 46–56 | 45.10% |
| Eat_Him vs Hwoarang | 37–61 | 37.76% |
| Eat_Him vs Jin | 42–51 | 45.16% |
| Eat_Him vs Dragunov | 28–58 | 32.56% |
| Eat_Him vs Lidia | 36–41 | 46.75% |
| Eat_Him vs Jun | 23–45 | 33.82% |
| Eat_Him vs Yoshimitsu | 35–32 | 52.24% |
| Eat_Him vs Victor | 22–45 | 32.84% |
| Eat_Him vs Lili | 26–36 | 41.94% |
| Eat_Him vs Law | 21–40 | 34.43% |
| Eat_Him vs Paul | 27–30 | 47.37% |
| Eat_Him vs Azucena | 25–32 | 43.86% |
| Eat_Him vs Asuka | 18–38 | 32.14% |
| Eat_Him vs Leo | 17–35 | 32.69% |
| Eat_Him vs Lee | 19–33 | 36.54% |
| Eat_Him vs Eddy | 14–36 | 28.00% |
| Eat_Him vs Devil Jin | 23–26 | 46.94% |
| Eat_Him vs Clive | 32–16 | 66.67% |
| Eat_Him vs Xiaoyu | 22–21 | 51.16% |
| Eat_Him vs Raven | 19–22 | 46.34% |
| Eat_Him vs Nina | 16–24 | 40.00% |
| Eat_Him vs Feng | 15–24 | 38.46% |
| Eat_Him vs Lars | 15–24 | 38.46% |
| Eat_Him vs Alisa | 15–22 | 40.54% |
| Eat_Him vs Fahkumram | 19–14 | 57.58% |
| Eat_Him vs Leroy | 14–17 | 45.16% |
| Eat_Him vs Jack-8 | 12–17 | 41.38% |
| Eat_Him vs Anna | 13–15 | 46.43% |
| Eat_Him vs Armor King | 11–17 | 39.29% |
| Eat_Him vs Claudio | 14–11 | 56.00% |
| Eat_Him vs Shaheen | 6–13 | 31.58% |
| Eat_Him vs Kuma | 3–12 | 20.00% |
| Eat_Him vs Zafina | 6–9 | 40.00% |
| Eat_Him vs Panda | 4–10 | 28.57% |
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.