| EatsAss vs King | 51–63 | 44.74% |
| EatsAss vs Bryan | 59–40 | 59.60% |
| EatsAss vs Lili | 48–49 | 49.48% |
| EatsAss vs Jin | 50–46 | 52.08% |
| EatsAss vs Reina | 54–41 | 56.84% |
| EatsAss vs Hwoarang | 48–45 | 51.61% |
| EatsAss vs Yoshimitsu | 42–50 | 45.65% |
| EatsAss vs Dragunov | 52–40 | 56.52% |
| EatsAss vs Kazuya | 44–43 | 50.57% |
| EatsAss vs Eddy | 37–40 | 48.05% |
| EatsAss vs Steve | 38–36 | 51.35% |
| EatsAss vs Law | 34–35 | 49.28% |
| EatsAss vs Lee | 33–35 | 48.53% |
| EatsAss vs Paul | 26–35 | 42.62% |
| EatsAss vs Nina | 25–35 | 41.67% |
| EatsAss vs Leo | 25–32 | 43.86% |
| EatsAss vs Jun | 32–24 | 57.14% |
| EatsAss vs Asuka | 26–28 | 48.15% |
| EatsAss vs Victor | 28–21 | 57.14% |
| EatsAss vs Raven | 28–20 | 58.33% |
| EatsAss vs Xiaoyu | 19–24 | 44.19% |
| EatsAss vs Alisa | 19–24 | 44.19% |
| EatsAss vs Lars | 19–23 | 45.24% |
| EatsAss vs Devil Jin | 18–21 | 46.15% |
| EatsAss vs Azucena | 15–22 | 40.54% |
| EatsAss vs Feng | 16–15 | 51.61% |
| EatsAss vs Shaheen | 16–13 | 55.17% |
| EatsAss vs Jack-8 | 10–18 | 35.71% |
| EatsAss vs Claudio | 12–13 | 48.00% |
| EatsAss vs Leroy | 8–12 | 40.00% |
| EatsAss vs Kuma | 7–12 | 36.84% |
| EatsAss vs Zafina | 12–7 | 63.16% |
| EatsAss vs Clive | 8–11 | 42.11% |
| EatsAss vs Heihachi | 8–7 | 53.33% |
| EatsAss vs Lidia | 9–4 | 69.23% |
| EatsAss vs Panda | 6–2 | 75.00% |
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.