| Cheat vs Kazuya | 79–65 | 54.86% |
| Cheat vs Bryan | 57–51 | 52.78% |
| Cheat vs Reina | 55–44 | 55.56% |
| Cheat vs Hwoarang | 41–57 | 41.84% |
| Cheat vs Dragunov | 48–48 | 50.00% |
| Cheat vs Steve | 46–49 | 48.42% |
| Cheat vs Paul | 55–39 | 58.51% |
| Cheat vs Jin | 38–49 | 43.68% |
| Cheat vs Victor | 53–31 | 63.10% |
| Cheat vs Asuka | 38–44 | 46.34% |
| Cheat vs Lili | 26–42 | 38.24% |
| Cheat vs Jun | 38–27 | 58.46% |
| Cheat vs Law | 24–34 | 41.38% |
| Cheat vs King | 26–30–1 | 46.43% |
| Cheat vs Alisa | 26–27 | 49.06% |
| Cheat vs Yoshimitsu | 16–32 | 33.33% |
| Cheat vs Feng | 24–21 | 53.33% |
| Cheat vs Claudio | 25–19 | 56.82% |
| Cheat vs Leo | 16–27 | 37.21% |
| Cheat vs Lee | 19–24 | 44.19% |
| Cheat vs Xiaoyu | 16–25 | 39.02% |
| Cheat vs Heihachi | 18–23 | 43.90% |
| Cheat vs Jack-8 | 14–25 | 35.90% |
| Cheat vs Clive | 20–19 | 51.28% |
| Cheat vs Fahkumram | 25–14 | 64.10% |
| Cheat vs Lars | 16–22 | 42.11% |
| Cheat vs Nina | 20–17 | 54.05% |
| Cheat vs Devil Jin | 16–19 | 45.71% |
| Cheat vs Azucena | 11–24 | 31.43% |
| Cheat vs Eddy | 21–12 | 63.64% |
| Cheat vs Leroy | 13–11 | 54.17% |
| Cheat vs Kuma | 7–15 | 31.82% |
| Cheat vs Lidia | 7–10 | 41.18% |
| Cheat vs Anna | 9–8 | 52.94% |
| Cheat vs Zafina | 9–6 | 60.00% |
| Cheat vs Raven | 8–7 | 53.33% |
| Cheat vs Shaheen | 5–8 | 38.46% |
| Cheat vs Panda | 2–1 | 66.67% |
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.