| sorry vs Bryan | 38–28 | 57.58% |
| sorry vs Asuka | 23–21 | 52.27% |
| sorry vs Jun | 24–14 | 63.16% |
| sorry vs Law | 29–7 | 80.56% |
| sorry vs Hwoarang | 25–11 | 69.44% |
| sorry vs Lili | 27–9 | 75.00% |
| sorry vs King | 26–7 | 78.79% |
| sorry vs Reina | 22–10 | 68.75% |
| sorry vs Devil Jin | 19–8 | 70.37% |
| sorry vs Azucena | 20–5 | 80.00% |
| sorry vs Jin | 19–5 | 79.17% |
| sorry vs Lee | 17–7 | 70.83% |
| sorry vs Kazuya | 15–8 | 65.22% |
| sorry vs Steve | 16–6 | 72.73% |
| sorry vs Lars | 14–7 | 66.67% |
| sorry vs Eddy | 13–7 | 65.00% |
| sorry vs Paul | 12–7 | 63.16% |
| sorry vs Lidia | 5–13 | 27.78% |
| sorry vs Yoshimitsu | 8–9 | 47.06% |
| sorry vs Victor | 10–7 | 58.82% |
| sorry vs Fahkumram | 7–10 | 41.18% |
| sorry vs Leo | 12–4 | 75.00% |
| sorry vs Dragunov | 9–6 | 60.00% |
| sorry vs Shaheen | 11–4 | 73.33% |
| sorry vs Zafina | 10–5 | 66.67% |
| sorry vs Xiaoyu | 12–2 | 85.71% |
| sorry vs Clive | 10–4 | 71.43% |
| sorry vs Leroy | 7–5 | 58.33% |
| sorry vs Alisa | 5–6 | 45.45% |
| sorry vs Heihachi | 4–7 | 36.36% |
| sorry vs Jack-8 | 8–2 | 80.00% |
| sorry vs Feng | 7–3 | 70.00% |
| sorry vs Anna | 5–5 | 50.00% |
| sorry vs Kuma | 4–3 | 57.14% |
| sorry vs Claudio | 5–1 | 83.33% |
| sorry vs Raven | 3–1 | 75.00% |
| sorry vs Nina | 2–1 | 66.67% |
| sorry vs Panda | 0–1 | 0.00% |
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.