| Quits vs Kazuya | 32–20 | 61.54% |
| Quits vs King | 26–22 | 54.17% |
| Quits vs Jin | 24–8 | 75.00% |
| Quits vs Bryan | 24–8 | 75.00% |
| Quits vs Dragunov | 21–10 | 67.74% |
| Quits vs Paul | 18–12 | 60.00% |
| Quits vs Miary Zo | 18–11 | 62.07% |
| Quits vs Law | 15–6 | 71.43% |
| Quits vs Jun | 14–7 | 66.67% |
| Quits vs Asuka | 17–3 | 85.00% |
| Quits vs Lili | 16–4 | 80.00% |
| Quits vs Lars | 14–6 | 70.00% |
| Quits vs Xiaoyu | 12–7 | 63.16% |
| Quits vs Steve | 18–0 | 100.00% |
| Quits vs Heihachi | 15–3 | 83.33% |
| Quits vs Yoshimitsu | 7–10 | 41.18% |
| Quits vs Fahkumram | 7–10 | 41.18% |
| Quits vs Leroy | 8–6 | 57.14% |
| Quits vs Lidia | 5–9 | 35.71% |
| Quits vs Hwoarang | 9–3 | 75.00% |
| Quits vs Alisa | 11–1 | 91.67% |
| Quits vs Nina | 6–5 | 54.55% |
| Quits vs Lee | 9–2 | 81.82% |
| Quits vs Victor | 8–2 | 80.00% |
| Quits vs Leo | 9–0 | 100.00% |
| Quits vs Claudio | 6–3 | 66.67% |
| Quits vs Kuma | 8–1 | 88.89% |
| Quits vs Reina | 6–2 | 75.00% |
| Quits vs Azucena | 4–4 | 50.00% |
| Quits vs Armor King | 3–5 | 37.50% |
| Quits vs Clive | 6–1 | 85.71% |
| Quits vs Anna | 5–2 | 71.43% |
| Quits vs Devil Jin | 6–0 | 100.00% |
| Quits vs Feng | 4–2 | 66.67% |
| Quits vs Zafina | 4–2 | 66.67% |
| Quits vs Eddy | 3–3 | 50.00% |
| Quits vs Jack-8 | 2–3 | 40.00% |
| Quits vs Raven | 2–1 | 66.67% |
| Quits vs Shaheen | 0–2 | 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.