Subtract vs Jin | 181–189 | 48.92% |
Subtract vs Dragunov | 176–180 | 49.44% |
Subtract vs Bryan | 169–181 | 48.29% |
Subtract vs Kazuya | 144–171 | 45.71% |
Subtract vs Reina | 170–119 | 58.82% |
Subtract vs Hwoarang | 125–161 | 43.71% |
Subtract vs Paul | 123–131–1 | 48.43% |
Subtract vs King | 125–123 | 50.40% |
Subtract vs Lili | 93–122 | 43.26% |
Subtract vs Steve | 96–109 | 46.83% |
Subtract vs Victor | 125–68 | 64.77% |
Subtract vs Clive | 102–88 | 53.68% |
Subtract vs Jun | 85–100 | 45.95% |
Subtract vs Devil Jin | 97–87 | 52.72% |
Subtract vs Feng | 83–87 | 48.82% |
Subtract vs Heihachi | 99–66 | 60.00% |
Subtract vs Law | 107–57 | 65.24% |
Subtract vs Yoshimitsu | 85–77–1 | 52.47% |
Subtract vs Lee | 68–91 | 42.77% |
Subtract vs Eddy | 76–82 | 48.10% |
Subtract vs Asuka | 70–84 | 45.45% |
Subtract vs Shaheen | 63–81 | 43.75% |
Subtract vs Leroy | 58–77 | 42.96% |
Subtract vs Azucena | 64–61 | 51.20% |
Subtract vs Raven | 66–57 | 53.66% |
Subtract vs Nina | 59–63 | 48.36% |
Subtract vs Lidia | 66–56 | 54.10% |
Subtract vs Jack-8 | 47–72 | 39.50% |
Subtract vs Xiaoyu | 55–61 | 47.41% |
Subtract vs Leo | 46–65 | 41.44% |
Subtract vs Lars | 58–52 | 52.73% |
Subtract vs Claudio | 38–66 | 36.54% |
Subtract vs Alisa | 39–63 | 38.24% |
Subtract vs Kuma | 56–46 | 54.90% |
Subtract vs Zafina | 40–52 | 43.48% |
Subtract vs Panda | 13–15 | 46.43% |
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.