| flush vs Jin | 223–184 | 54.79% |
| flush vs Kazuya | 208–180 | 53.61% |
| flush vs Hwoarang | 213–131 | 61.92% |
| flush vs Bryan | 184–150 | 55.09% |
| flush vs King | 189–130 | 59.25% |
| flush vs Steve | 157–117 | 57.30% |
| flush vs Dragunov | 144–122 | 54.14% |
| flush vs Law | 151–108 | 58.30% |
| flush vs Devil Jin | 135–121 | 52.73% |
| flush vs Reina | 149–94 | 61.32% |
| flush vs Yoshimitsu | 116–118 | 49.57% |
| flush vs Feng | 133–92 | 59.11% |
| flush vs Lee | 125–96 | 56.56% |
| flush vs Lili | 107–89 | 54.59% |
| flush vs Alisa | 95–93 | 50.53% |
| flush vs Xiaoyu | 101–86 | 54.01% |
| flush vs Paul | 115–70 | 62.16% |
| flush vs Nina | 96–81 | 54.24% |
| flush vs Azucena | 102–73 | 58.29% |
| flush vs Raven | 96–76 | 55.81% |
| flush vs Asuka | 95–69 | 57.93% |
| flush vs Lars | 80–78 | 50.63% |
| flush vs Eddy | 78–69 | 53.06% |
| flush vs Jun | 85–60 | 58.62% |
| flush vs Zafina | 71–69 | 50.71% |
| flush vs Victor | 86–51 | 62.77% |
| flush vs Shaheen | 56–80 | 41.18% |
| flush vs Kuma | 82–52 | 61.19% |
| flush vs Jack-8 | 73–58 | 55.73% |
| flush vs Claudio | 73–56 | 56.59% |
| flush vs Clive | 69–60 | 53.49% |
| flush vs Leo | 57–59 | 49.14% |
| flush vs Leroy | 50–62 | 44.64% |
| flush vs Heihachi | 57–46 | 55.34% |
| flush vs Lidia | 40–55 | 42.11% |
| flush vs Panda | 30–9 | 76.92% |
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.