| Wolfloor vs Jin | 54–60 | 47.37% |
| Wolfloor vs King | 39–56 | 41.05% |
| Wolfloor vs Kazuya | 39–48 | 44.83% |
| Wolfloor vs Heihachi | 42–40 | 51.22% |
| Wolfloor vs Reina | 44–35 | 55.70% |
| Wolfloor vs Steve | 27–31 | 46.55% |
| Wolfloor vs Yoshimitsu | 30–26 | 53.57% |
| Wolfloor vs Dragunov | 29–25 | 53.70% |
| Wolfloor vs Jun | 21–28 | 42.86% |
| Wolfloor vs Bryan | 22–26 | 45.83% |
| Wolfloor vs Hwoarang | 26–21 | 55.32% |
| Wolfloor vs Asuka | 16–23 | 41.03% |
| Wolfloor vs Law | 14–22 | 38.89% |
| Wolfloor vs Devil Jin | 24–12 | 66.67% |
| Wolfloor vs Paul | 14–21 | 40.00% |
| Wolfloor vs Alisa | 17–17 | 50.00% |
| Wolfloor vs Leroy | 15–19 | 44.12% |
| Wolfloor vs Eddy | 14–16 | 46.67% |
| Wolfloor vs Lee | 14–14 | 50.00% |
| Wolfloor vs Azucena | 15–13 | 53.57% |
| Wolfloor vs Lili | 22–5 | 81.48% |
| Wolfloor vs Claudio | 9–14 | 39.13% |
| Wolfloor vs Leo | 13–8 | 61.90% |
| Wolfloor vs Lars | 11–9 | 55.00% |
| Wolfloor vs Lidia | 11–9 | 55.00% |
| Wolfloor vs Xiaoyu | 15–4 | 78.95% |
| Wolfloor vs Shaheen | 10–9 | 52.63% |
| Wolfloor vs Feng | 5–12 | 29.41% |
| Wolfloor vs Victor | 8–9 | 47.06% |
| Wolfloor vs Nina | 7–6 | 53.85% |
| Wolfloor vs Kuma | 6–7 | 46.15% |
| Wolfloor vs Raven | 2–4 | 33.33% |
| Wolfloor vs Zafina | 1–4 | 20.00% |
| Wolfloor vs Panda | 2–1 | 66.67% |
| Wolfloor vs Jack-8 | 1–0 | 100.00% |
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.