| qqp_ vs Law | 52–50 | 50.98% |
| qqp_ vs Kazuya | 39–60 | 39.39% |
| qqp_ vs King | 51–42 | 54.84% |
| qqp_ vs Bryan | 38–51–2 | 42.70% |
| qqp_ vs Lee | 42–31 | 57.53% |
| qqp_ vs Steve | 32–40 | 44.44% |
| qqp_ vs Reina | 29–38 | 43.28% |
| qqp_ vs Hwoarang | 25–39 | 39.06% |
| qqp_ vs Jin | 24–39 | 38.10% |
| qqp_ vs Eddy | 32–26 | 55.17% |
| qqp_ vs Yoshimitsu | 26–30 | 46.43% |
| qqp_ vs Dragunov | 24–29 | 45.28% |
| qqp_ vs Heihachi | 21–32 | 39.62% |
| qqp_ vs Paul | 26–22 | 54.17% |
| qqp_ vs Xiaoyu | 20–28 | 41.67% |
| qqp_ vs Lili | 16–30 | 34.78% |
| qqp_ vs Lidia | 17–28 | 37.78% |
| qqp_ vs Azucena | 24–17 | 58.54% |
| qqp_ vs Raven | 13–28 | 31.71% |
| qqp_ vs Victor | 22–18 | 55.00% |
| qqp_ vs Lars | 14–25 | 35.90% |
| qqp_ vs Devil Jin | 13–22 | 37.14% |
| qqp_ vs Alisa | 19–13 | 59.38% |
| qqp_ vs Jun | 17–15 | 53.12% |
| qqp_ vs Nina | 7–24 | 22.58% |
| qqp_ vs Asuka | 18–11–1 | 62.07% |
| qqp_ vs Jack-8 | 10–12 | 45.45% |
| qqp_ vs Leroy | 10–12 | 45.45% |
| qqp_ vs Feng | 7–12 | 36.84% |
| qqp_ vs Leo | 7–12 | 36.84% |
| qqp_ vs Armor King | 7–8 | 46.67% |
| qqp_ vs Shaheen | 5–9 | 35.71% |
| qqp_ vs Kuma | 6–7 | 46.15% |
| qqp_ vs Zafina | 4–8 | 33.33% |
| qqp_ vs Claudio | 4–6 | 40.00% |
| qqp_ vs Panda | 2–2 | 50.00% |
| qqp_ vs Anna | 2–1 | 66.67% |
| qqp_ vs Miary Zo | 2–1 | 66.67% |
| qqp_ vs Fahkumram | 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.