| jaw knee vs Steve | 21–26 | 44.68% |
| jaw knee vs Heihachi | 21–26 | 44.68% |
| jaw knee vs Kazuya | 31–13 | 70.45% |
| jaw knee vs Reina | 20–24 | 45.45% |
| jaw knee vs King | 30–12 | 71.43% |
| jaw knee vs Jin | 21–21 | 50.00% |
| jaw knee vs Bryan | 23–13 | 63.89% |
| jaw knee vs Lee | 14–14 | 50.00% |
| jaw knee vs Paul | 11–16 | 40.74% |
| jaw knee vs Yoshimitsu | 11–13 | 45.83% |
| jaw knee vs Asuka | 19–5 | 79.17% |
| jaw knee vs Azucena | 14–9 | 60.87% |
| jaw knee vs Lars | 13–9 | 59.09% |
| jaw knee vs Law | 11–10 | 52.38% |
| jaw knee vs Xiaoyu | 11–8 | 57.89% |
| jaw knee vs Dragunov | 13–5 | 72.22% |
| jaw knee vs Nina | 10–7 | 58.82% |
| jaw knee vs Claudio | 9–7 | 56.25% |
| jaw knee vs Clive | 9–7 | 56.25% |
| jaw knee vs Jun | 9–6 | 60.00% |
| jaw knee vs Lili | 9–5 | 64.29% |
| jaw knee vs Jack-8 | 8–3 | 72.73% |
| jaw knee vs Victor | 3–8 | 27.27% |
| jaw knee vs Lidia | 4–7 | 36.36% |
| jaw knee vs Hwoarang | 7–3 | 70.00% |
| jaw knee vs Devil Jin | 2–6 | 25.00% |
| jaw knee vs Feng | 4–3 | 57.14% |
| jaw knee vs Leo | 3–4 | 42.86% |
| jaw knee vs Alisa | 3–4 | 42.86% |
| jaw knee vs Kuma | 4–3 | 57.14% |
| jaw knee vs Zafina | 3–3 | 50.00% |
| jaw knee vs Shaheen | 2–3 | 40.00% |
| jaw knee vs Leroy | 1–4 | 20.00% |
| jaw knee vs Eddy | 3–2 | 60.00% |
| jaw knee vs Raven | 1–2 | 33.33% |
| jaw knee vs Anna | 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.