| ttm_y vs Kazuya | 239–278 | 46.23% |
| ttm_y vs Reina | 179–288 | 38.33% |
| ttm_y vs King | 205–258 | 44.28% |
| ttm_y vs Paul | 160–252 | 38.83% |
| ttm_y vs Jin | 180–232 | 43.69% |
| ttm_y vs Lili | 119–205 | 36.73% |
| ttm_y vs Dragunov | 114–201–1 | 36.19% |
| ttm_y vs Asuka | 121–190 | 38.91% |
| ttm_y vs Hwoarang | 121–169 | 41.72% |
| ttm_y vs Jun | 123–149 | 45.22% |
| ttm_y vs Bryan | 127–132 | 49.03% |
| ttm_y vs Victor | 92–154 | 37.40% |
| ttm_y vs Yoshimitsu | 102–141 | 41.98% |
| ttm_y vs Steve | 85–116 | 42.29% |
| ttm_y vs Law | 73–121 | 37.63% |
| ttm_y vs Azucena | 61–109 | 35.88% |
| ttm_y vs Xiaoyu | 53–110 | 32.52% |
| ttm_y vs Lidia | 59–102 | 36.65% |
| ttm_y vs Alisa | 51–89 | 36.43% |
| ttm_y vs Lars | 49–78 | 38.58% |
| ttm_y vs Eddy | 43–84 | 33.86% |
| ttm_y vs Claudio | 45–79 | 36.29% |
| ttm_y vs Devil Jin | 52–55 | 48.60% |
| ttm_y vs Leo | 46–54 | 46.00% |
| ttm_y vs Feng | 26–70 | 27.08% |
| ttm_y vs Nina | 37–52 | 41.57% |
| ttm_y vs Lee | 31–51 | 37.80% |
| ttm_y vs Leroy | 27–52 | 34.18% |
| ttm_y vs Jack-8 | 27–51 | 34.62% |
| ttm_y vs Heihachi | 36–42 | 46.15% |
| ttm_y vs Shaheen | 28–42 | 40.00% |
| ttm_y vs Kuma | 18–38 | 32.14% |
| ttm_y vs Raven | 22–33 | 40.00% |
| ttm_y vs Zafina | 18–36 | 33.33% |
| ttm_y vs Panda | 7–19 | 26.92% |
| ttm_y vs Clive | 7–7 | 50.00% |
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.