| thanks vs Heihachi | 46–44 | 51.11% |
| thanks vs Jin | 52–34 | 60.47% |
| thanks vs Dragunov | 33–36 | 47.83% |
| thanks vs Kazuya | 34–33 | 50.75% |
| thanks vs Bryan | 30–29 | 50.85% |
| thanks vs King | 25–32 | 43.86% |
| thanks vs Paul | 32–21 | 60.38% |
| thanks vs Law | 35–17 | 67.31% |
| thanks vs Lars | 22–21 | 51.16% |
| thanks vs Yoshimitsu | 22–18 | 55.00% |
| thanks vs Hwoarang | 18–18 | 50.00% |
| thanks vs Lili | 20–13 | 60.61% |
| thanks vs Steve | 16–12 | 57.14% |
| thanks vs Feng | 15–12 | 55.56% |
| thanks vs Lidia | 18–9 | 66.67% |
| thanks vs Claudio | 14–11 | 56.00% |
| thanks vs Lee | 12–13 | 48.00% |
| thanks vs Victor | 18–7 | 72.00% |
| thanks vs Devil Jin | 15–8 | 65.22% |
| thanks vs Nina | 9–11 | 45.00% |
| thanks vs Reina | 14–6 | 70.00% |
| thanks vs Jack-8 | 12–7 | 63.16% |
| thanks vs Eddy | 7–12 | 36.84% |
| thanks vs Alisa | 13–5 | 72.22% |
| thanks vs Jun | 7–10 | 41.18% |
| thanks vs Leroy | 9–5 | 64.29% |
| thanks vs Kuma | 6–7 | 46.15% |
| thanks vs Azucena | 8–5 | 61.54% |
| thanks vs Raven | 6–7 | 46.15% |
| thanks vs Asuka | 7–5 | 58.33% |
| thanks vs Zafina | 7–4 | 63.64% |
| thanks vs Shaheen | 7–3 | 70.00% |
| thanks vs Xiaoyu | 6–3 | 66.67% |
| thanks vs Leo | 3–3 | 50.00% |
| thanks vs Panda | 0–1 | 0.00% |
| thanks vs Fahkumram | 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.