| Wolfwood vs Kazuya | 37–61 | 37.76% |
| Wolfwood vs King | 34–44 | 43.59% |
| Wolfwood vs Bryan | 29–34 | 46.03% |
| Wolfwood vs Jin | 34–22 | 60.71% |
| Wolfwood vs Law | 31–20 | 60.78% |
| Wolfwood vs Steve | 27–22 | 55.10% |
| Wolfwood vs Reina | 27–20 | 57.45% |
| Wolfwood vs Heihachi | 25–20 | 55.56% |
| Wolfwood vs Azucena | 21–23 | 47.73% |
| Wolfwood vs Paul | 18–25 | 41.86% |
| Wolfwood vs Hwoarang | 21–22 | 48.84% |
| Wolfwood vs Lili | 22–13 | 62.86% |
| Wolfwood vs Fahkumram | 12–21 | 36.36% |
| Wolfwood vs Lars | 14–18 | 43.75% |
| Wolfwood vs Lee | 19–13 | 59.38% |
| Wolfwood vs Eddy | 20–12 | 62.50% |
| Wolfwood vs Dragunov | 17–12 | 58.62% |
| Wolfwood vs Jun | 14–14 | 50.00% |
| Wolfwood vs Lidia | 13–15 | 46.43% |
| Wolfwood vs Nina | 13–14 | 48.15% |
| Wolfwood vs Yoshimitsu | 8–18 | 30.77% |
| Wolfwood vs Armor King | 11–15 | 42.31% |
| Wolfwood vs Clive | 15–10 | 60.00% |
| Wolfwood vs Asuka | 14–9 | 60.87% |
| Wolfwood vs Leroy | 10–9 | 52.63% |
| Wolfwood vs Anna | 6–12 | 33.33% |
| Wolfwood vs Jack-8 | 11–6 | 64.71% |
| Wolfwood vs Victor | 9–8 | 52.94% |
| Wolfwood vs Alisa | 8–8 | 50.00% |
| Wolfwood vs Devil Jin | 6–9 | 40.00% |
| Wolfwood vs Claudio | 7–8 | 46.67% |
| Wolfwood vs Raven | 10–5 | 66.67% |
| Wolfwood vs Shaheen | 12–2 | 85.71% |
| Wolfwood vs Miary Zo | 6–6 | 50.00% |
| Wolfwood vs Leo | 2–7 | 22.22% |
| Wolfwood vs Kuma | 4–4 | 50.00% |
| Wolfwood vs Feng | 3–4 | 42.86% |
| Wolfwood vs Xiaoyu | 4–2 | 66.67% |
| Wolfwood vs Panda | 5–1 | 83.33% |
| Wolfwood vs Zafina | 3–2 | 60.00% |
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.