| sToPmAsHiNgBUM vs Clive | 17–12 | 58.62% |
| sToPmAsHiNgBUM vs King | 16–9 | 64.00% |
| sToPmAsHiNgBUM vs Jin | 11–9 | 55.00% |
| sToPmAsHiNgBUM vs Hwoarang | 9–10 | 47.37% |
| sToPmAsHiNgBUM vs Kazuya | 11–5 | 68.75% |
| sToPmAsHiNgBUM vs Heihachi | 6–10 | 37.50% |
| sToPmAsHiNgBUM vs Steve | 10–5 | 66.67% |
| sToPmAsHiNgBUM vs Asuka | 11–4 | 73.33% |
| sToPmAsHiNgBUM vs Nina | 10–5 | 66.67% |
| sToPmAsHiNgBUM vs Yoshimitsu | 10–4 | 71.43% |
| sToPmAsHiNgBUM vs Dragunov | 3–11 | 21.43% |
| sToPmAsHiNgBUM vs Victor | 9–4 | 69.23% |
| sToPmAsHiNgBUM vs Bryan | 8–4 | 66.67% |
| sToPmAsHiNgBUM vs Law | 8–3 | 72.73% |
| sToPmAsHiNgBUM vs Jack-8 | 9–2 | 81.82% |
| sToPmAsHiNgBUM vs Devil Jin | 5–4 | 55.56% |
| sToPmAsHiNgBUM vs Lili | 6–3 | 66.67% |
| sToPmAsHiNgBUM vs Raven | 6–2 | 75.00% |
| sToPmAsHiNgBUM vs Lidia | 7–1 | 87.50% |
| sToPmAsHiNgBUM vs Kuma | 6–1 | 85.71% |
| sToPmAsHiNgBUM vs Eddy | 3–4 | 42.86% |
| sToPmAsHiNgBUM vs Jun | 4–2 | 66.67% |
| sToPmAsHiNgBUM vs Lars | 3–2 | 60.00% |
| sToPmAsHiNgBUM vs Alisa | 3–2 | 60.00% |
| sToPmAsHiNgBUM vs Leroy | 3–2 | 60.00% |
| sToPmAsHiNgBUM vs Reina | 3–2 | 60.00% |
| sToPmAsHiNgBUM vs Paul | 3–1 | 75.00% |
| sToPmAsHiNgBUM vs Azucena | 3–1 | 75.00% |
| sToPmAsHiNgBUM vs Xiaoyu | 0–3 | 0.00% |
| sToPmAsHiNgBUM vs Feng | 1–2 | 33.33% |
| sToPmAsHiNgBUM vs Leo | 0–3 | 0.00% |
| sToPmAsHiNgBUM vs Lee | 1–2 | 33.33% |
| sToPmAsHiNgBUM vs Claudio | 1–1 | 50.00% |
| sToPmAsHiNgBUM vs Panda | 2–0 | 100.00% |
| sToPmAsHiNgBUM vs Zafina | 2–0 | 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.