| Tekken4@Evo vs Jin | 40–39 | 50.63% |
| Tekken4@Evo vs Reina | 36–31 | 53.73% |
| Tekken4@Evo vs Steve | 32–25 | 56.14% |
| Tekken4@Evo vs Kazuya | 22–31–1 | 41.51% |
| Tekken4@Evo vs Dragunov | 23–30 | 43.40% |
| Tekken4@Evo vs King | 19–30 | 38.78% |
| Tekken4@Evo vs Hwoarang | 24–21 | 53.33% |
| Tekken4@Evo vs Lili | 22–22 | 50.00% |
| Tekken4@Evo vs Jun | 22–22 | 50.00% |
| Tekken4@Evo vs Eddy | 10–31 | 24.39% |
| Tekken4@Evo vs Law | 17–23 | 42.50% |
| Tekken4@Evo vs Bryan | 15–25 | 37.50% |
| Tekken4@Evo vs Yoshimitsu | 12–24 | 33.33% |
| Tekken4@Evo vs Heihachi | 20–16 | 55.56% |
| Tekken4@Evo vs Lidia | 15–18 | 45.45% |
| Tekken4@Evo vs Lars | 14–18 | 43.75% |
| Tekken4@Evo vs Alisa | 17–12 | 58.62% |
| Tekken4@Evo vs Asuka | 13–14 | 48.15% |
| Tekken4@Evo vs Paul | 11–14 | 44.00% |
| Tekken4@Evo vs Azucena | 9–15 | 37.50% |
| Tekken4@Evo vs Victor | 7–17 | 29.17% |
| Tekken4@Evo vs Nina | 11–12 | 47.83% |
| Tekken4@Evo vs Fahkumram | 11–11 | 50.00% |
| Tekken4@Evo vs Lee | 9–12 | 42.86% |
| Tekken4@Evo vs Leo | 5–15 | 25.00% |
| Tekken4@Evo vs Leroy | 8–11 | 42.11% |
| Tekken4@Evo vs Raven | 8–11 | 42.11% |
| Tekken4@Evo vs Armor King | 8–8 | 50.00% |
| Tekken4@Evo vs Devil Jin | 9–6 | 60.00% |
| Tekken4@Evo vs Xiaoyu | 9–4 | 69.23% |
| Tekken4@Evo vs Jack-8 | 5–8 | 38.46% |
| Tekken4@Evo vs Feng | 2–8 | 20.00% |
| Tekken4@Evo vs Claudio | 3–7 | 30.00% |
| Tekken4@Evo vs Shaheen | 6–3 | 66.67% |
| Tekken4@Evo vs Clive | 2–5 | 28.57% |
| Tekken4@Evo vs Miary Zo | 5–2 | 71.43% |
| Tekken4@Evo vs Zafina | 4–2 | 66.67% |
| Tekken4@Evo vs Kuma | 2–3 | 40.00% |
| Tekken4@Evo vs Panda | 2–2 | 50.00% |
| Tekken4@Evo vs Anna | 2–0 | 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.