| Player vs Hwoarang | 62–28 | 68.89% |
| Player vs Kazuya | 65–22 | 74.71% |
| Player vs King | 49–35 | 58.33% |
| Player vs Jin | 55–27 | 67.07% |
| Player vs Bryan | 53–26 | 67.09% |
| Player vs Anna | 40–32 | 55.56% |
| Player vs Law | 38–19 | 66.67% |
| Player vs Yoshimitsu | 33–19 | 63.46% |
| Player vs Feng | 27–21 | 56.25% |
| Player vs Dragunov | 34–11 | 75.56% |
| Player vs Lars | 29–16 | 64.44% |
| Player vs Paul | 29–15 | 65.91% |
| Player vs Steve | 28–16 | 63.64% |
| Player vs Leroy | 18–25 | 41.86% |
| Player vs Heihachi | 21–18 | 53.85% |
| Player vs Alisa | 23–15 | 60.53% |
| Player vs Lili | 21–16 | 56.76% |
| Player vs Devil Jin | 18–18 | 50.00% |
| Player vs Reina | 20–15 | 57.14% |
| Player vs Lidia | 14–20 | 41.18% |
| Player vs Lee | 21–11 | 65.62% |
| Player vs Raven | 17–14 | 54.84% |
| Player vs Xiaoyu | 13–17 | 43.33% |
| Player vs Asuka | 20–10 | 66.67% |
| Player vs Jun | 12–13 | 48.00% |
| Player vs Azucena | 14–11 | 56.00% |
| Player vs Leo | 16–8 | 66.67% |
| Player vs Jack-8 | 14–9 | 60.87% |
| Player vs Nina | 15–8 | 65.22% |
| Player vs Eddy | 11–12 | 47.83% |
| Player vs Zafina | 13–8 | 61.90% |
| Player vs Clive | 13–6 | 68.42% |
| Player vs Kuma | 11–7 | 61.11% |
| Player vs Claudio | 9–8 | 52.94% |
| Player vs Shaheen | 7–5 | 58.33% |
| Player vs Victor | 7–5 | 58.33% |
| Player vs Fahkumram | 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.