| wolf vs King | 37–44 | 45.68% |
| wolf vs Jin | 20–37 | 35.09% |
| wolf vs Kazuya | 23–34 | 40.35% |
| wolf vs Reina | 23–31 | 42.59% |
| wolf vs Steve | 22–31 | 41.51% |
| wolf vs Hwoarang | 20–27 | 42.55% |
| wolf vs Yoshimitsu | 17–23 | 42.50% |
| wolf vs Law | 14–24 | 36.84% |
| wolf vs Eddy | 18–20 | 47.37% |
| wolf vs Dragunov | 12–21 | 36.36% |
| wolf vs Bryan | 9–22 | 29.03% |
| wolf vs Lili | 18–12 | 60.00% |
| wolf vs Azucena | 13–16 | 44.83% |
| wolf vs Nina | 9–19 | 32.14% |
| wolf vs Lars | 5–21 | 19.23% |
| wolf vs Jun | 11–15 | 42.31% |
| wolf vs Paul | 12–13 | 48.00% |
| wolf vs Asuka | 9–15 | 37.50% |
| wolf vs Victor | 6–18 | 25.00% |
| wolf vs Lee | 15–8 | 65.22% |
| wolf vs Lidia | 7–16 | 30.43% |
| wolf vs Xiaoyu | 7–11 | 38.89% |
| wolf vs Leroy | 6–11 | 35.29% |
| wolf vs Jack-8 | 4–11 | 26.67% |
| wolf vs Feng | 5–10 | 33.33% |
| wolf vs Alisa | 10–5 | 66.67% |
| wolf vs Kuma | 4–11 | 26.67% |
| wolf vs Heihachi | 5–8 | 38.46% |
| wolf vs Raven | 4–8 | 33.33% |
| wolf vs Armor King | 6–6 | 50.00% |
| wolf vs Zafina | 4–7 | 36.36% |
| wolf vs Leo | 3–7 | 30.00% |
| wolf vs Claudio | 3–7 | 30.00% |
| wolf vs Panda | 3–7 | 30.00% |
| wolf vs Shaheen | 3–5 | 37.50% |
| wolf vs Anna | 4–3 | 57.14% |
| wolf vs Clive | 2–3 | 40.00% |
| wolf vs Miary Zo | 3–2 | 60.00% |
| wolf vs Devil Jin | 2–2 | 50.00% |
| wolf 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.