| TTTon vs Bryan | 257–246 | 51.09% |
| TTTon vs Hwoarang | 207–184 | 52.94% |
| TTTon vs Kazuya | 191–193 | 49.74% |
| TTTon vs Dragunov | 188–186 | 50.27% |
| TTTon vs Heihachi | 167–183 | 47.71% |
| TTTon vs King | 167–166 | 50.15% |
| TTTon vs Steve | 161–150 | 51.77% |
| TTTon vs Reina | 161–142 | 53.14% |
| TTTon vs Paul | 153–148 | 50.83% |
| TTTon vs Jin | 145–124 | 53.90% |
| TTTon vs Yoshimitsu | 151–117 | 56.34% |
| TTTon vs Lars | 148–108 | 57.81% |
| TTTon vs Lili | 124–131 | 48.63% |
| TTTon vs Asuka | 138–114 | 54.76% |
| TTTon vs Clive | 124–128 | 49.21% |
| TTTon vs Jack-8 | 117–109 | 51.77% |
| TTTon vs Lee | 89–130 | 40.64% |
| TTTon vs Law | 106–111 | 48.85% |
| TTTon vs Victor | 107–110 | 49.31% |
| TTTon vs Lidia | 115–102 | 53.00% |
| TTTon vs Eddy | 111–105 | 51.39% |
| TTTon vs Nina | 133–81 | 62.15% |
| TTTon vs Jun | 129–83 | 60.85% |
| TTTon vs Azucena | 104–102 | 50.49% |
| TTTon vs Devil Jin | 92–112 | 45.10% |
| TTTon vs Claudio | 98–99 | 49.75% |
| TTTon vs Alisa | 89–79 | 52.98% |
| TTTon vs Feng | 82–84 | 49.40% |
| TTTon vs Xiaoyu | 75–86 | 46.58% |
| TTTon vs Shaheen | 72–78 | 48.00% |
| TTTon vs Leroy | 72–75 | 48.98% |
| TTTon vs Zafina | 73–68 | 51.77% |
| TTTon vs Raven | 72–66 | 52.17% |
| TTTon vs Leo | 67–60 | 52.76% |
| TTTon vs Kuma | 70–46 | 60.34% |
| TTTon vs Miary Zo | 58–54 | 51.79% |
| TTTon vs Armor King | 39–45 | 46.43% |
| TTTon vs Anna | 38–45 | 45.78% |
| TTTon vs Panda | 23–25 | 47.92% |
| TTTon vs Fahkumram | 18–27 | 40.00% |
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.