| Tr1ckHa7 vs Heihachi | 16–6 | 72.73% |
| Tr1ckHa7 vs Jin | 11–8 | 57.89% |
| Tr1ckHa7 vs Clive | 15–3 | 83.33% |
| Tr1ckHa7 vs King | 10–7 | 58.82% |
| Tr1ckHa7 vs Kazuya | 7–8 | 46.67% |
| Tr1ckHa7 vs Yoshimitsu | 9–4 | 69.23% |
| Tr1ckHa7 vs Asuka | 9–4 | 69.23% |
| Tr1ckHa7 vs Steve | 10–2 | 83.33% |
| Tr1ckHa7 vs Leo | 7–5 | 58.33% |
| Tr1ckHa7 vs Dragunov | 7–4 | 63.64% |
| Tr1ckHa7 vs Jun | 3–6 | 33.33% |
| Tr1ckHa7 vs Lidia | 8–1 | 88.89% |
| Tr1ckHa7 vs Devil Jin | 5–3 | 62.50% |
| Tr1ckHa7 vs Lars | 4–4 | 50.00% |
| Tr1ckHa7 vs Leroy | 4–4 | 50.00% |
| Tr1ckHa7 vs Armor King | 4–4 | 50.00% |
| Tr1ckHa7 vs Law | 3–4 | 42.86% |
| Tr1ckHa7 vs Xiaoyu | 2–5 | 28.57% |
| Tr1ckHa7 vs Bryan | 3–4 | 42.86% |
| Tr1ckHa7 vs Eddy | 5–2 | 71.43% |
| Tr1ckHa7 vs Reina | 5–1 | 83.33% |
| Tr1ckHa7 vs Victor | 4–2 | 66.67% |
| Tr1ckHa7 vs Raven | 5–1 | 83.33% |
| Tr1ckHa7 vs Nina | 3–2 | 60.00% |
| Tr1ckHa7 vs Azucena | 5–0 | 100.00% |
| Tr1ckHa7 vs Lili | 0–4 | 0.00% |
| Tr1ckHa7 vs Claudio | 4–0 | 100.00% |
| Tr1ckHa7 vs Shaheen | 4–0 | 100.00% |
| Tr1ckHa7 vs Hwoarang | 3–0 | 100.00% |
| Tr1ckHa7 vs Jack-8 | 2–1 | 66.67% |
| Tr1ckHa7 vs Lee | 3–0 | 100.00% |
| Tr1ckHa7 vs Paul | 2–0 | 100.00% |
| Tr1ckHa7 vs Feng | 0–2 | 0.00% |
| Tr1ckHa7 vs Alisa | 0–2 | 0.00% |
| Tr1ckHa7 vs Zafina | 1–0 | 100.00% |
| Tr1ckHa7 vs Fahkumram | 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.