| Eaterbust vs Jin | 42–45 | 48.28% |
| Eaterbust vs Dragunov | 32–39 | 45.07% |
| Eaterbust vs Eddy | 19–38 | 33.33% |
| Eaterbust vs Kazuya | 21–32 | 39.62% |
| Eaterbust vs King | 26–26 | 50.00% |
| Eaterbust vs Lili | 18–32 | 36.00% |
| Eaterbust vs Paul | 21–25 | 45.65% |
| Eaterbust vs Jun | 20–19 | 51.28% |
| Eaterbust vs Hwoarang | 24–13 | 64.86% |
| Eaterbust vs Victor | 20–17 | 54.05% |
| Eaterbust vs Reina | 18–18 | 50.00% |
| Eaterbust vs Yoshimitsu | 12–23 | 34.29% |
| Eaterbust vs Devil Jin | 13–22 | 37.14% |
| Eaterbust vs Law | 21–11 | 65.62% |
| Eaterbust vs Bryan | 16–16 | 50.00% |
| Eaterbust vs Steve | 9–19 | 32.14% |
| Eaterbust vs Asuka | 14–14 | 50.00% |
| Eaterbust vs Nina | 9–13 | 40.91% |
| Eaterbust vs Azucena | 7–13 | 35.00% |
| Eaterbust vs Leroy | 10–9 | 52.63% |
| Eaterbust vs Xiaoyu | 6–9 | 40.00% |
| Eaterbust vs Leo | 4–11 | 26.67% |
| Eaterbust vs Lars | 5–10 | 33.33% |
| Eaterbust vs Alisa | 6–9 | 40.00% |
| Eaterbust vs Lee | 5–9 | 35.71% |
| Eaterbust vs Zafina | 5–8 | 38.46% |
| Eaterbust vs Claudio | 5–7 | 41.67% |
| Eaterbust vs Feng | 5–5 | 50.00% |
| Eaterbust vs Kuma | 2–7 | 22.22% |
| Eaterbust vs Raven | 4–4 | 50.00% |
| Eaterbust vs Jack-8 | 4–3 | 57.14% |
| Eaterbust vs Shaheen | 3–3 | 50.00% |
| Eaterbust vs Panda | 4–1 | 80.00% |
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.