| TrashM vs Kazuya | 40–46 | 46.51% |
| TrashM vs Hwoarang | 28–26 | 51.85% |
| TrashM vs Jin | 19–27 | 41.30% |
| TrashM vs King | 22–20 | 52.38% |
| TrashM vs Steve | 24–14 | 63.16% |
| TrashM vs Bryan | 17–20 | 45.95% |
| TrashM vs Law | 19–13 | 59.38% |
| TrashM vs Lili | 15–16 | 48.39% |
| TrashM vs Eddy | 15–12 | 55.56% |
| TrashM vs Reina | 11–15 | 42.31% |
| TrashM vs Azucena | 11–12 | 47.83% |
| TrashM vs Heihachi | 6–17 | 26.09% |
| TrashM vs Paul | 9–13 | 40.91% |
| TrashM vs Yoshimitsu | 10–9 | 52.63% |
| TrashM vs Xiaoyu | 5–11 | 31.25% |
| TrashM vs Feng | 8–8 | 50.00% |
| TrashM vs Nina | 12–4 | 75.00% |
| TrashM vs Jun | 9–7 | 56.25% |
| TrashM vs Dragunov | 9–6 | 60.00% |
| TrashM vs Devil Jin | 7–7 | 50.00% |
| TrashM vs Lars | 5–8 | 38.46% |
| TrashM vs Victor | 7–6 | 53.85% |
| TrashM vs Jack-8 | 3–8 | 27.27% |
| TrashM vs Asuka | 8–3 | 72.73% |
| TrashM vs Clive | 5–6 | 45.45% |
| TrashM vs Anna | 4–7 | 36.36% |
| TrashM vs Lee | 4–6 | 40.00% |
| TrashM vs Leroy | 4–6 | 40.00% |
| TrashM vs Raven | 7–1 | 87.50% |
| TrashM vs Claudio | 5–2 | 71.43% |
| TrashM vs Alisa | 3–3 | 50.00% |
| TrashM vs Zafina | 2–4 | 33.33% |
| TrashM vs Panda | 2–2 | 50.00% |
| TrashM vs Shaheen | 0–3 | 0.00% |
| TrashM vs Kuma | 0–2 | 0.00% |
| TrashM vs Fahkumram | 1–1 | 50.00% |
| TrashM vs Leo | 1–0 | 100.00% |
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.