| wolfpimp vs Jin | 32–24 | 57.14% |
| wolfpimp vs Kazuya | 20–14 | 58.82% |
| wolfpimp vs Hwoarang | 15–13 | 53.57% |
| wolfpimp vs King | 17–7 | 70.83% |
| wolfpimp vs Yoshimitsu | 11–13 | 45.83% |
| wolfpimp vs Bryan | 11–12 | 47.83% |
| wolfpimp vs Lili | 13–10 | 56.52% |
| wolfpimp vs Feng | 12–10 | 54.55% |
| wolfpimp vs Dragunov | 14–7 | 66.67% |
| wolfpimp vs Reina | 14–7 | 66.67% |
| wolfpimp vs Steve | 11–9 | 55.00% |
| wolfpimp vs Devil Jin | 6–14 | 30.00% |
| wolfpimp vs Lee | 13–7 | 65.00% |
| wolfpimp vs Nina | 5–13 | 27.78% |
| wolfpimp vs Paul | 9–6 | 60.00% |
| wolfpimp vs Lars | 8–6 | 57.14% |
| wolfpimp vs Jack-8 | 3–10 | 23.08% |
| wolfpimp vs Jun | 8–5 | 61.54% |
| wolfpimp vs Azucena | 8–5 | 61.54% |
| wolfpimp vs Kuma | 6–6 | 50.00% |
| wolfpimp vs Zafina | 5–6 | 45.45% |
| wolfpimp vs Victor | 6–4 | 60.00% |
| wolfpimp vs Law | 6–3 | 66.67% |
| wolfpimp vs Xiaoyu | 7–2 | 77.78% |
| wolfpimp vs Alisa | 3–6 | 33.33% |
| wolfpimp vs Raven | 3–5 | 37.50% |
| wolfpimp vs Asuka | 3–4 | 42.86% |
| wolfpimp vs Lidia | 3–4 | 42.86% |
| wolfpimp vs Leo | 3–3 | 50.00% |
| wolfpimp vs Panda | 3–3 | 50.00% |
| wolfpimp vs Claudio | 1–4 | 20.00% |
| wolfpimp vs Eddy | 4–1 | 80.00% |
| wolfpimp vs Leroy | 2–2 | 50.00% |
| wolfpimp vs Heihachi | 0–4 | 0.00% |
| wolfpimp vs Shaheen | 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.