| I win vs Bryan | 34–18 | 65.38% |
| I win vs Jin | 29–12 | 70.73% |
| I win vs Kazuya | 24–15 | 61.54% |
| I win vs King | 22–14 | 61.11% |
| I win vs Steve | 24–5 | 82.76% |
| I win vs Law | 24–4 | 85.71% |
| I win vs Jun | 17–8 | 68.00% |
| I win vs Heihachi | 17–5 | 77.27% |
| I win vs Yoshimitsu | 17–3 | 85.00% |
| I win vs Reina | 15–5 | 75.00% |
| I win vs Victor | 15–4 | 78.95% |
| I win vs Paul | 13–3 | 81.25% |
| I win vs Hwoarang | 13–3 | 81.25% |
| I win vs Shaheen | 6–8 | 42.86% |
| I win vs Dragunov | 11–2 | 84.62% |
| I win vs Lars | 9–4 | 69.23% |
| I win vs Lee | 6–4 | 60.00% |
| I win vs Zafina | 8–2 | 80.00% |
| I win vs Lili | 4–5 | 44.44% |
| I win vs Kuma | 5–4 | 55.56% |
| I win vs Raven | 7–2 | 77.78% |
| I win vs Anna | 6–3 | 66.67% |
| I win vs Xiaoyu | 4–3 | 57.14% |
| I win vs Devil Jin | 5–2 | 71.43% |
| I win vs Asuka | 5–0 | 100.00% |
| I win vs Eddy | 1–3 | 25.00% |
| I win vs Feng | 2–1 | 66.67% |
| I win vs Alisa | 2–1 | 66.67% |
| I win vs Azucena | 1–2 | 33.33% |
| I win vs Clive | 0–3 | 0.00% |
| I win vs Jack-8 | 2–0 | 100.00% |
| I win vs Leo | 2–0 | 100.00% |
| I win vs Nina | 2–0 | 100.00% |
| I win vs Panda | 2–0 | 100.00% |
| I win vs Lidia | 2–0 | 100.00% |
| I win vs Armor King | 2–0 | 100.00% |
| I win vs Leroy | 0–1 | 0.00% |
| I win vs Fahkumram | 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.