| AOF-mfgs vs Jin | 157–127 | 55.28% |
| AOF-mfgs vs King | 151–114 | 56.98% |
| AOF-mfgs vs Heihachi | 131–111 | 54.13% |
| AOF-mfgs vs Kazuya | 113–127 | 47.08% |
| AOF-mfgs vs Bryan | 133–98 | 57.58% |
| AOF-mfgs vs Hwoarang | 117–88 | 57.07% |
| AOF-mfgs vs Reina | 95–79 | 54.60% |
| AOF-mfgs vs Dragunov | 96–77 | 55.49% |
| AOF-mfgs vs Lili | 87–77 | 53.05% |
| AOF-mfgs vs Paul | 75–87 | 46.30% |
| AOF-mfgs vs Steve | 81–79 | 50.62% |
| AOF-mfgs vs Eddy | 93–66 | 58.49% |
| AOF-mfgs vs Nina | 100–53 | 65.36% |
| AOF-mfgs vs Yoshimitsu | 88–61 | 59.06% |
| AOF-mfgs vs Devil Jin | 62–84 | 42.47% |
| AOF-mfgs vs Azucena | 68–73 | 48.23% |
| AOF-mfgs vs Asuka | 79–56 | 58.52% |
| AOF-mfgs vs Jun | 57–78 | 42.22% |
| AOF-mfgs vs Fahkumram | 76–49 | 60.80% |
| AOF-mfgs vs Lidia | 68–56 | 54.84% |
| AOF-mfgs vs Armor King | 52–68 | 43.33% |
| AOF-mfgs vs Xiaoyu | 68–45 | 60.18% |
| AOF-mfgs vs Feng | 66–47 | 58.41% |
| AOF-mfgs vs Law | 54–57 | 48.65% |
| AOF-mfgs vs Lee | 53–52 | 50.48% |
| AOF-mfgs vs Alisa | 48–53 | 47.52% |
| AOF-mfgs vs Jack-8 | 47–53 | 47.00% |
| AOF-mfgs vs Lars | 54–45 | 54.55% |
| AOF-mfgs vs Victor | 47–48 | 49.47% |
| AOF-mfgs vs Anna | 44–43 | 50.57% |
| AOF-mfgs vs Claudio | 45–36 | 55.56% |
| AOF-mfgs vs Leo | 43–36 | 54.43% |
| AOF-mfgs vs Raven | 48–28 | 63.16% |
| AOF-mfgs vs Leroy | 35–36 | 49.30% |
| AOF-mfgs vs Zafina | 29–32 | 47.54% |
| AOF-mfgs vs Kuma | 24–31 | 43.64% |
| AOF-mfgs vs Shaheen | 25–12 | 67.57% |
| AOF-mfgs vs Clive | 18–18 | 50.00% |
| AOF-mfgs vs Panda | 13–14 | 48.15% |
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.