| Willemv vs Heihachi | 21–32 | 39.62% |
| Willemv vs Reina | 29–22 | 56.86% |
| Willemv vs Hwoarang | 18–28 | 39.13% |
| Willemv vs Jin | 17–28 | 37.78% |
| Willemv vs Kazuya | 14–29 | 32.56% |
| Willemv vs King | 16–22 | 42.11% |
| Willemv vs Yoshimitsu | 19–18 | 51.35% |
| Willemv vs Steve | 18–16 | 52.94% |
| Willemv vs Bryan | 9–19 | 32.14% |
| Willemv vs Lili | 12–15 | 44.44% |
| Willemv vs Law | 7–18 | 28.00% |
| Willemv vs Lidia | 14–8 | 63.64% |
| Willemv vs Lars | 12–9 | 57.14% |
| Willemv vs Nina | 8–12 | 40.00% |
| Willemv vs Azucena | 11–9 | 55.00% |
| Willemv vs Asuka | 8–11 | 42.11% |
| Willemv vs Dragunov | 5–14 | 26.32% |
| Willemv vs Lee | 5–13 | 27.78% |
| Willemv vs Jun | 3–15 | 16.67% |
| Willemv vs Xiaoyu | 9–8 | 52.94% |
| Willemv vs Victor | 7–10 | 41.18% |
| Willemv vs Eddy | 7–9 | 43.75% |
| Willemv vs Paul | 3–11 | 21.43% |
| Willemv vs Leo | 6–8 | 42.86% |
| Willemv vs Kuma | 5–8 | 38.46% |
| Willemv vs Devil Jin | 5–7 | 41.67% |
| Willemv vs Claudio | 1–11 | 8.33% |
| Willemv vs Leroy | 1–9 | 10.00% |
| Willemv vs Raven | 6–4 | 60.00% |
| Willemv vs Jack-8 | 2–7 | 22.22% |
| Willemv vs Feng | 4–5 | 44.44% |
| Willemv vs Panda | 2–6 | 25.00% |
| Willemv vs Shaheen | 3–2 | 60.00% |
| Willemv vs Zafina | 1–1 | 50.00% |
| Willemv vs Alisa | 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.