| Trimar vs Asuka | 16–11 | 59.26% |
| Trimar vs Dragunov | 13–8 | 61.90% |
| Trimar vs Eddy | 15–6 | 71.43% |
| Trimar vs King | 11–8 | 57.89% |
| Trimar vs Reina | 15–4 | 78.95% |
| Trimar vs Nina | 12–5 | 70.59% |
| Trimar vs Jin | 10–6 | 62.50% |
| Trimar vs Lili | 6–10 | 37.50% |
| Trimar vs Kazuya | 11–4 | 73.33% |
| Trimar vs Steve | 7–8 | 46.67% |
| Trimar vs Victor | 12–3 | 80.00% |
| Trimar vs Bryan | 5–9 | 35.71% |
| Trimar vs Hwoarang | 10–3 | 76.92% |
| Trimar vs Feng | 2–11 | 15.38% |
| Trimar vs Xiaoyu | 5–6 | 45.45% |
| Trimar vs Alisa | 6–5 | 54.55% |
| Trimar vs Jun | 6–5 | 54.55% |
| Trimar vs Devil Jin | 7–3 | 70.00% |
| Trimar vs Paul | 5–4 | 55.56% |
| Trimar vs Leo | 5–4 | 55.56% |
| Trimar vs Lee | 3–6 | 33.33% |
| Trimar vs Azucena | 3–6 | 33.33% |
| Trimar vs Jack-8 | 4–4 | 50.00% |
| Trimar vs Law | 5–2 | 71.43% |
| Trimar vs Yoshimitsu | 3–4 | 42.86% |
| Trimar vs Claudio | 2–5 | 28.57% |
| Trimar vs Kuma | 3–3 | 50.00% |
| Trimar vs Fahkumram | 3–3 | 50.00% |
| Trimar vs Miary Zo | 4–2 | 66.67% |
| Trimar vs Lars | 3–2 | 60.00% |
| Trimar vs Heihachi | 2–3 | 40.00% |
| Trimar vs Leroy | 3–1 | 75.00% |
| Trimar vs Anna | 1–2 | 33.33% |
| Trimar vs Shaheen | 2–0 | 100.00% |
| Trimar vs Zafina | 2–0 | 100.00% |
| Trimar vs Lidia | 2–0 | 100.00% |
| Trimar vs Clive | 0–2 | 0.00% |
| Trimar vs Panda | 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.