| P00Eater vs Jin | 43–59 | 42.16% |
| P00Eater vs Kazuya | 52–45 | 53.61% |
| P00Eater vs Bryan | 45–48 | 48.39% |
| P00Eater vs Steve | 41–36 | 53.25% |
| P00Eater vs Reina | 34–38 | 47.22% |
| P00Eater vs King | 34–33 | 50.75% |
| P00Eater vs Lili | 28–25 | 52.83% |
| P00Eater vs Lidia | 25–27 | 48.08% |
| P00Eater vs Law | 27–23 | 54.00% |
| P00Eater vs Paul | 26–21 | 55.32% |
| P00Eater vs Hwoarang | 21–26 | 44.68% |
| P00Eater vs Dragunov | 17–28 | 37.78% |
| P00Eater vs Jun | 24–21 | 53.33% |
| P00Eater vs Lee | 22–22 | 50.00% |
| P00Eater vs Eddy | 15–29 | 34.09% |
| P00Eater vs Victor | 15–22 | 40.54% |
| P00Eater vs Yoshimitsu | 23–13 | 63.89% |
| P00Eater vs Leo | 13–23 | 36.11% |
| P00Eater vs Lars | 18–18 | 50.00% |
| P00Eater vs Asuka | 12–20 | 37.50% |
| P00Eater vs Devil Jin | 11–18–1 | 37.93% |
| P00Eater vs Armor King | 15–15 | 50.00% |
| P00Eater vs Jack-8 | 17–8 | 68.00% |
| P00Eater vs Nina | 13–12 | 52.00% |
| P00Eater vs Raven | 14–10 | 58.33% |
| P00Eater vs Azucena | 12–10 | 54.55% |
| P00Eater vs Xiaoyu | 7–12 | 36.84% |
| P00Eater vs Feng | 9–9 | 50.00% |
| P00Eater vs Kuma | 9–9 | 50.00% |
| P00Eater vs Alisa | 5–12 | 29.41% |
| P00Eater vs Zafina | 4–7 | 36.36% |
| P00Eater vs Claudio | 4–5 | 44.44% |
| P00Eater vs Heihachi | 7–2 | 77.78% |
| P00Eater vs Clive | 4–5 | 44.44% |
| P00Eater vs Panda | 3–4 | 42.86% |
| P00Eater vs Leroy | 4–3 | 57.14% |
| P00Eater vs Fahkumram | 3–3 | 50.00% |
| P00Eater vs Shaheen | 2–3 | 40.00% |
| P00Eater vs Anna | 4–0 | 100.00% |
| P00Eater vs Miary Zo | 3–1 | 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.