| Eat_Again vs Kazuya | 3–3 | 50.00% |
| Eat_Again vs Bryan | 5–0 | 100.00% |
| Eat_Again vs King | 4–0 | 100.00% |
| Eat_Again vs Leroy | 3–1 | 75.00% |
| Eat_Again vs Jun | 2–2 | 50.00% |
| Eat_Again vs Jin | 0–3 | 0.00% |
| Eat_Again vs Devil Jin | 0–3 | 0.00% |
| Eat_Again vs Dragunov | 2–1 | 66.67% |
| Eat_Again vs Alisa | 2–1 | 66.67% |
| Eat_Again vs Law | 0–2 | 0.00% |
| Eat_Again vs Hwoarang | 2–0 | 100.00% |
| Eat_Again vs Steve | 2–0 | 100.00% |
| Eat_Again vs Lili | 2–0 | 100.00% |
| Eat_Again vs Nina | 1–1 | 50.00% |
| Eat_Again vs Kuma | 1–1 | 50.00% |
| Eat_Again vs Yoshimitsu | 1–0 | 100.00% |
| Eat_Again vs Xiaoyu | 0–1 | 0.00% |
| Eat_Again vs Asuka | 1–0 | 100.00% |
| Eat_Again vs Lars | 1–0 | 100.00% |
| Eat_Again vs Shaheen | 0–1 | 0.00% |
| Eat_Again vs Clive | 1–0 | 100.00% |
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.