| gtgkfoe vs Jin | 119–180 | 39.80% |
| gtgkfoe vs Kazuya | 156–143 | 52.17% |
| gtgkfoe vs Dragunov | 120–145 | 45.28% |
| gtgkfoe vs King | 104–141 | 42.45% |
| gtgkfoe vs Bryan | 89–123 | 41.98% |
| gtgkfoe vs Heihachi | 105–92 | 53.30% |
| gtgkfoe vs Reina | 99–96 | 50.77% |
| gtgkfoe vs Law | 88–95 | 48.09% |
| gtgkfoe vs Steve | 73–110 | 39.89% |
| gtgkfoe vs Hwoarang | 80–84 | 48.78% |
| gtgkfoe vs Devil Jin | 62–81 | 43.36% |
| gtgkfoe vs Victor | 71–61 | 53.79% |
| gtgkfoe vs Lili | 55–70 | 44.00% |
| gtgkfoe vs Lars | 51–70 | 42.15% |
| gtgkfoe vs Jun | 51–59 | 46.36% |
| gtgkfoe vs Yoshimitsu | 42–66 | 38.89% |
| gtgkfoe vs Asuka | 54–52 | 50.94% |
| gtgkfoe vs Paul | 38–53 | 41.76% |
| gtgkfoe vs Xiaoyu | 38–49 | 43.68% |
| gtgkfoe vs Alisa | 37–50 | 42.53% |
| gtgkfoe vs Feng | 32–48–1 | 40.00% |
| gtgkfoe vs Clive | 39–40 | 49.37% |
| gtgkfoe vs Lee | 33–44 | 42.86% |
| gtgkfoe vs Eddy | 37–31 | 54.41% |
| gtgkfoe vs Lidia | 36–29 | 55.38% |
| gtgkfoe vs Leo | 31–33 | 48.44% |
| gtgkfoe vs Azucena | 23–36 | 38.98% |
| gtgkfoe vs Claudio | 19–34 | 35.85% |
| gtgkfoe vs Nina | 23–28 | 45.10% |
| gtgkfoe vs Fahkumram | 18–31 | 36.73% |
| gtgkfoe vs Anna | 21–26 | 44.68% |
| gtgkfoe vs Jack-8 | 12–29 | 29.27% |
| gtgkfoe vs Leroy | 13–20 | 39.39% |
| gtgkfoe vs Kuma | 15–16 | 48.39% |
| gtgkfoe vs Raven | 12–16 | 42.86% |
| gtgkfoe vs Shaheen | 11–14 | 44.00% |
| gtgkfoe vs Armor King | 11–12 | 47.83% |
| gtgkfoe vs Zafina | 9–13 | 40.91% |
| gtgkfoe vs Miary Zo | 9–11 | 45.00% |
| gtgkfoe vs Panda | 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.