| none vs Kazuya | 57–29 | 66.28% |
| none vs Paul | 57–22 | 72.15% |
| none vs Bryan | 53–26 | 67.09% |
| none vs Reina | 53–25 | 67.95% |
| none vs Jin | 56–18–1 | 75.68% |
| none vs Dragunov | 48–24 | 66.67% |
| none vs Victor | 42–30 | 58.33% |
| none vs Lili | 47–21 | 69.12% |
| none vs King | 35–24 | 59.32% |
| none vs Jun | 43–15 | 74.14% |
| none vs Azucena | 41–17 | 70.69% |
| none vs Steve | 37–16 | 69.81% |
| none vs Asuka | 37–11 | 77.08% |
| none vs Lars | 32–16 | 66.67% |
| none vs Hwoarang | 30–16 | 65.22% |
| none vs Law | 28–16 | 63.64% |
| none vs Alisa | 31–12 | 72.09% |
| none vs Clive | 24–16 | 60.00% |
| none vs Leo | 23–15 | 60.53% |
| none vs Claudio | 26–12 | 68.42% |
| none vs Devil Jin | 23–14 | 62.16% |
| none vs Feng | 21–15 | 58.33% |
| none vs Lee | 19–17 | 52.78% |
| none vs Xiaoyu | 22–13 | 62.86% |
| none vs Nina | 25–10 | 71.43% |
| none vs Shaheen | 13–17 | 43.33% |
| none vs Anna | 20–10 | 66.67% |
| none vs Eddy | 7–22 | 24.14% |
| none vs Lidia | 12–17 | 41.38% |
| none vs Leroy | 15–11 | 57.69% |
| none vs Jack-8 | 17–8 | 68.00% |
| none vs Yoshimitsu | 14–10 | 58.33% |
| none vs Raven | 14–10 | 58.33% |
| none vs Zafina | 12–9 | 57.14% |
| none vs Kuma | 13–4 | 76.47% |
| none vs Heihachi | 12–2 | 85.71% |
| none vs Panda | 4–9 | 30.77% |
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.