| Wheaterz9 vs Yoshimitsu | 21–22 | 48.84% |
| Wheaterz9 vs Law | 22–17 | 56.41% |
| Wheaterz9 vs Jin | 27–12 | 69.23% |
| Wheaterz9 vs Kazuya | 21–18 | 53.85% |
| Wheaterz9 vs Steve | 26–13 | 66.67% |
| Wheaterz9 vs King | 26–11 | 70.27% |
| Wheaterz9 vs Bryan | 21–14 | 60.00% |
| Wheaterz9 vs Nina | 16–18 | 47.06% |
| Wheaterz9 vs Hwoarang | 12–20 | 37.50% |
| Wheaterz9 vs Lee | 16–13 | 55.17% |
| Wheaterz9 vs Reina | 11–18 | 37.93% |
| Wheaterz9 vs Feng | 16–9 | 64.00% |
| Wheaterz9 vs Alisa | 14–9 | 60.87% |
| Wheaterz9 vs Devil Jin | 13–9 | 59.09% |
| Wheaterz9 vs Lili | 15–5 | 75.00% |
| Wheaterz9 vs Dragunov | 9–10 | 47.37% |
| Wheaterz9 vs Victor | 9–10 | 47.37% |
| Wheaterz9 vs Paul | 9–9 | 50.00% |
| Wheaterz9 vs Jack-8 | 10–8 | 55.56% |
| Wheaterz9 vs Leroy | 11–6 | 64.71% |
| Wheaterz9 vs Asuka | 9–7 | 56.25% |
| Wheaterz9 vs Jun | 7–8 | 46.67% |
| Wheaterz9 vs Claudio | 5–8 | 38.46% |
| Wheaterz9 vs Raven | 8–5 | 61.54% |
| Wheaterz9 vs Eddy | 6–7 | 46.15% |
| Wheaterz9 vs Leo | 7–5 | 58.33% |
| Wheaterz9 vs Lars | 2–8 | 20.00% |
| Wheaterz9 vs Kuma | 2–7 | 22.22% |
| Wheaterz9 vs Xiaoyu | 4–4 | 50.00% |
| Wheaterz9 vs Shaheen | 3–3 | 50.00% |
| Wheaterz9 vs Azucena | 3–3 | 50.00% |
| Wheaterz9 vs Zafina | 4–1 | 80.00% |
| Wheaterz9 vs Lidia | 3–2 | 60.00% |
| Wheaterz9 vs Panda | 2–2 | 50.00% |
| Wheaterz9 vs Heihachi | 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.