| _aTTacKeR_ vs Jin | 238–249 | 48.87% |
| _aTTacKeR_ vs Kazuya | 208–241 | 46.33% |
| _aTTacKeR_ vs Dragunov | 139–194 | 41.74% |
| _aTTacKeR_ vs Reina | 131–201 | 39.46% |
| _aTTacKeR_ vs Bryan | 135–143 | 48.56% |
| _aTTacKeR_ vs King | 87–172 | 33.59% |
| _aTTacKeR_ vs Law | 97–135 | 41.81% |
| _aTTacKeR_ vs Steve | 112–120 | 48.28% |
| _aTTacKeR_ vs Hwoarang | 96–109 | 46.83% |
| _aTTacKeR_ vs Yoshimitsu | 84–119 | 41.38% |
| _aTTacKeR_ vs Lili | 97–85 | 53.30% |
| _aTTacKeR_ vs Victor | 76–85 | 47.20% |
| _aTTacKeR_ vs Heihachi | 66–87 | 43.14% |
| _aTTacKeR_ vs Devil Jin | 51–96 | 34.69% |
| _aTTacKeR_ vs Jun | 71–73 | 49.31% |
| _aTTacKeR_ vs Lars | 57–85 | 40.14% |
| _aTTacKeR_ vs Paul | 56–80 | 41.18% |
| _aTTacKeR_ vs Asuka | 48–87 | 35.56% |
| _aTTacKeR_ vs Alisa | 58–63 | 47.93% |
| _aTTacKeR_ vs Lee | 61–59 | 50.83% |
| _aTTacKeR_ vs Feng | 35–76 | 31.53% |
| _aTTacKeR_ vs Lidia | 48–63 | 43.24% |
| _aTTacKeR_ vs Clive | 37–74 | 33.33% |
| _aTTacKeR_ vs Leo | 44–64 | 40.74% |
| _aTTacKeR_ vs Xiaoyu | 46–59 | 43.81% |
| _aTTacKeR_ vs Nina | 39–57 | 40.62% |
| _aTTacKeR_ vs Claudio | 35–46 | 43.21% |
| _aTTacKeR_ vs Azucena | 39–41 | 48.75% |
| _aTTacKeR_ vs Shaheen | 32–38 | 45.71% |
| _aTTacKeR_ vs Eddy | 33–36 | 47.83% |
| _aTTacKeR_ vs Fahkumram | 26–41 | 38.81% |
| _aTTacKeR_ vs Leroy | 22–33 | 40.00% |
| _aTTacKeR_ vs Kuma | 27–24 | 52.94% |
| _aTTacKeR_ vs Raven | 23–25 | 47.92% |
| _aTTacKeR_ vs Armor King | 13–19 | 40.62% |
| _aTTacKeR_ vs Anna | 12–15 | 44.44% |
| _aTTacKeR_ vs Zafina | 12–12 | 50.00% |
| _aTTacKeR_ vs Panda | 5–11 | 31.25% |
| _aTTacKeR_ vs Jack-8 | 1–14 | 6.67% |
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.