| 64 palms vs Kazuya | 36–23 | 61.02% |
| 64 palms vs King | 38–15 | 71.70% |
| 64 palms vs Steve | 29–19 | 60.42% |
| 64 palms vs Bryan | 32–11 | 74.42% |
| 64 palms vs Asuka | 30–13 | 69.77% |
| 64 palms vs Reina | 25–18 | 58.14% |
| 64 palms vs Jin | 29–13 | 69.05% |
| 64 palms vs Azucena | 20–7 | 74.07% |
| 64 palms vs Eddy | 15–12 | 55.56% |
| 64 palms vs Law | 16–9 | 64.00% |
| 64 palms vs Hwoarang | 15–8 | 65.22% |
| 64 palms vs Xiaoyu | 15–8 | 65.22% |
| 64 palms vs Devil Jin | 9–11 | 45.00% |
| 64 palms vs Lars | 11–9 | 55.00% |
| 64 palms vs Jun | 11–9 | 55.00% |
| 64 palms vs Lili | 12–7 | 63.16% |
| 64 palms vs Victor | 14–5 | 73.68% |
| 64 palms vs Paul | 11–7 | 61.11% |
| 64 palms vs Yoshimitsu | 12–6 | 66.67% |
| 64 palms vs Dragunov | 12–5 | 70.59% |
| 64 palms vs Alisa | 10–7 | 58.82% |
| 64 palms vs Nina | 10–7 | 58.82% |
| 64 palms vs Lee | 11–6 | 64.71% |
| 64 palms vs Claudio | 4–11 | 26.67% |
| 64 palms vs Leroy | 12–2 | 85.71% |
| 64 palms vs Raven | 8–4 | 66.67% |
| 64 palms vs Kuma | 5–6 | 45.45% |
| 64 palms vs Feng | 9–1 | 90.00% |
| 64 palms vs Shaheen | 5–5 | 50.00% |
| 64 palms vs Lidia | 7–3 | 70.00% |
| 64 palms vs Jack-8 | 3–4 | 42.86% |
| 64 palms vs Leo | 5–1 | 83.33% |
| 64 palms vs Zafina | 3–3 | 50.00% |
| 64 palms vs Panda | 1–2 | 33.33% |
| 64 palms 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.