| wintr vs Dragunov | 30–39 | 43.48% |
| wintr vs Jin | 35–31 | 53.03% |
| wintr vs Bryan | 37–25 | 59.68% |
| wintr vs King | 31–22 | 58.49% |
| wintr vs Steve | 15–25 | 37.50% |
| wintr vs Yoshimitsu | 20–18 | 52.63% |
| wintr vs Devil Jin | 17–20 | 45.95% |
| wintr vs Law | 12–20 | 37.50% |
| wintr vs Reina | 17–15 | 53.12% |
| wintr vs Kazuya | 15–15 | 50.00% |
| wintr vs Heihachi | 19–10 | 65.52% |
| wintr vs Asuka | 14–14 | 50.00% |
| wintr vs Paul | 10–13 | 43.48% |
| wintr vs Xiaoyu | 4–15 | 21.05% |
| wintr vs Lars | 10–9 | 52.63% |
| wintr vs Leroy | 7–12 | 36.84% |
| wintr vs Hwoarang | 1–17 | 5.56% |
| wintr vs Azucena | 12–6 | 66.67% |
| wintr vs Leo | 6–11 | 35.29% |
| wintr vs Victor | 8–9 | 47.06% |
| wintr vs Raven | 8–9 | 47.06% |
| wintr vs Claudio | 8–8 | 50.00% |
| wintr vs Jun | 5–11 | 31.25% |
| wintr vs Anna | 7–8 | 46.67% |
| wintr vs Lili | 7–7 | 50.00% |
| wintr vs Jack-8 | 6–5 | 54.55% |
| wintr vs Nina | 6–5 | 54.55% |
| wintr vs Eddy | 8–3 | 72.73% |
| wintr vs Lee | 8–2 | 80.00% |
| wintr vs Alisa | 4–3 | 57.14% |
| wintr vs Shaheen | 3–4 | 42.86% |
| wintr vs Lidia | 4–3 | 57.14% |
| wintr vs Clive | 5–2 | 71.43% |
| wintr vs Zafina | 0–4 | 0.00% |
| wintr vs Fahkumram | 1–3 | 25.00% |
| wintr vs Feng | 0–2 | 0.00% |
| wintr vs Kuma | 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.