| windholic vs Bryan | 28–12 | 70.00% |
| windholic vs Reina | 21–13 | 61.76% |
| windholic vs Heihachi | 23–8 | 74.19% |
| windholic vs Asuka | 22–4 | 84.62% |
| windholic vs Jack-8 | 13–7 | 65.00% |
| windholic vs Paul | 12–7 | 63.16% |
| windholic vs Kazuya | 16–3 | 84.21% |
| windholic vs Yoshimitsu | 6–12 | 33.33% |
| windholic vs Lili | 10–7 | 58.82% |
| windholic vs Dragunov | 10–4 | 71.43% |
| windholic vs Victor | 7–7 | 50.00% |
| windholic vs Jin | 11–2 | 84.62% |
| windholic vs Steve | 10–2 | 83.33% |
| windholic vs Xiaoyu | 8–3 | 72.73% |
| windholic vs King | 9–1 | 90.00% |
| windholic vs Hwoarang | 7–3 | 70.00% |
| windholic vs Lee | 6–3 | 66.67% |
| windholic vs Kuma | 7–2 | 77.78% |
| windholic vs Feng | 4–4 | 50.00% |
| windholic vs Law | 5–2 | 71.43% |
| windholic vs Devil Jin | 4–3 | 57.14% |
| windholic vs Alisa | 5–2 | 71.43% |
| windholic vs Shaheen | 4–3 | 57.14% |
| windholic vs Leo | 6–0 | 100.00% |
| windholic vs Claudio | 2–4 | 33.33% |
| windholic vs Lidia | 4–2 | 66.67% |
| windholic vs Leroy | 4–1 | 80.00% |
| windholic vs Jun | 3–2 | 60.00% |
| windholic vs Panda | 1–3 | 25.00% |
| windholic vs Azucena | 2–2 | 50.00% |
| windholic vs Eddy | 4–0 | 100.00% |
| windholic vs Nina | 3–0 | 100.00% |
| windholic vs Zafina | 1–2 | 33.33% |
| windholic vs Raven | 0–2 | 0.00% |
| windholic vs Lars | 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.