| buffPaul vs Lidia | 81–42 | 65.85% |
| buffPaul vs Reina | 29–21 | 58.00% |
| buffPaul vs King | 25–24 | 51.02% |
| buffPaul vs Jin | 22–20 | 52.38% |
| buffPaul vs Kazuya | 18–24 | 42.86% |
| buffPaul vs Hwoarang | 24–10 | 70.59% |
| buffPaul vs Asuka | 12–17 | 41.38% |
| buffPaul vs Law | 17–10 | 62.96% |
| buffPaul vs Dragunov | 17–9 | 65.38% |
| buffPaul vs Heihachi | 13–13 | 50.00% |
| buffPaul vs Bryan | 8–17 | 32.00% |
| buffPaul vs Nina | 14–10 | 58.33% |
| buffPaul vs Jun | 18–4 | 81.82% |
| buffPaul vs Feng | 9–12 | 42.86% |
| buffPaul vs Lee | 13–8 | 61.90% |
| buffPaul vs Eddy | 8–13 | 38.10% |
| buffPaul vs Paul | 9–11 | 45.00% |
| buffPaul vs Steve | 8–12 | 40.00% |
| buffPaul vs Lili | 10–10 | 50.00% |
| buffPaul vs Leo | 15–5 | 75.00% |
| buffPaul vs Yoshimitsu | 13–5 | 72.22% |
| buffPaul vs Kuma | 10–8 | 55.56% |
| buffPaul vs Azucena | 9–9 | 50.00% |
| buffPaul vs Victor | 12–5 | 70.59% |
| buffPaul vs Lars | 10–5 | 66.67% |
| buffPaul vs Alisa | 6–9 | 40.00% |
| buffPaul vs Leroy | 6–7 | 46.15% |
| buffPaul vs Raven | 5–4 | 55.56% |
| buffPaul vs Xiaoyu | 5–3 | 62.50% |
| buffPaul vs Panda | 2–6 | 25.00% |
| buffPaul vs Jack-8 | 4–1 | 80.00% |
| buffPaul vs Shaheen | 1–4 | 20.00% |
| buffPaul vs Zafina | 2–2 | 50.00% |
| buffPaul vs Claudio | 2–1 | 66.67% |
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.