| ever-green vs Bryan | 40–29 | 57.97% |
| ever-green vs Paul | 34–25 | 57.63% |
| ever-green vs Law | 26–28 | 48.15% |
| ever-green vs Steve | 30–19 | 61.22% |
| ever-green vs King | 31–15 | 67.39% |
| ever-green vs Reina | 19–27 | 41.30% |
| ever-green vs Dragunov | 21–22 | 48.84% |
| ever-green vs Kazuya | 28–14 | 66.67% |
| ever-green vs Jun | 21–21 | 50.00% |
| ever-green vs Azucena | 30–12 | 71.43% |
| ever-green vs Jin | 18–22 | 45.00% |
| ever-green vs Hwoarang | 19–19 | 50.00% |
| ever-green vs Victor | 20–15 | 57.14% |
| ever-green vs Lee | 18–13 | 58.06% |
| ever-green vs Asuka | 11–19 | 36.67% |
| ever-green vs Lili | 13–17 | 43.33% |
| ever-green vs Devil Jin | 12–17 | 41.38% |
| ever-green vs Heihachi | 12–17 | 41.38% |
| ever-green vs Yoshimitsu | 18–9 | 66.67% |
| ever-green vs Feng | 10–12 | 45.45% |
| ever-green vs Nina | 9–10 | 47.37% |
| ever-green vs Clive | 7–11 | 38.89% |
| ever-green vs Raven | 7–10 | 41.18% |
| ever-green vs Xiaoyu | 9–7 | 56.25% |
| ever-green vs Lars | 6–10 | 37.50% |
| ever-green vs Claudio | 12–4 | 75.00% |
| ever-green vs Zafina | 6–9 | 40.00% |
| ever-green vs Alisa | 11–3 | 78.57% |
| ever-green vs Kuma | 5–9 | 35.71% |
| ever-green vs Lidia | 8–6 | 57.14% |
| ever-green vs Fahkumram | 9–5 | 64.29% |
| ever-green vs Leo | 10–3 | 76.92% |
| ever-green vs Shaheen | 6–7 | 46.15% |
| ever-green vs Eddy | 9–4 | 69.23% |
| ever-green vs Jack-8 | 5–6 | 45.45% |
| ever-green vs Leroy | 6–2 | 75.00% |
| ever-green vs Anna | 4–2 | 66.67% |
| ever-green vs Panda | 5–0 | 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.