| no brainer vs Steve | 14–13 | 51.85% |
| no brainer vs Jin | 5–15 | 25.00% |
| no brainer vs Yoshimitsu | 5–11 | 31.25% |
| no brainer vs Lili | 7–9 | 43.75% |
| no brainer vs Law | 2–13 | 13.33% |
| no brainer vs Reina | 3–11 | 21.43% |
| no brainer vs Kazuya | 1–10 | 9.09% |
| no brainer vs Victor | 1–9 | 10.00% |
| no brainer vs Paul | 4–5 | 44.44% |
| no brainer vs Hwoarang | 2–7 | 22.22% |
| no brainer vs Asuka | 2–7 | 22.22% |
| no brainer vs Dragunov | 0–9 | 0.00% |
| no brainer vs King | 2–6 | 25.00% |
| no brainer vs Jun | 5–3 | 62.50% |
| no brainer vs Lidia | 3–4 | 42.86% |
| no brainer vs Clive | 2–5 | 28.57% |
| no brainer vs Lee | 0–6 | 0.00% |
| no brainer vs Azucena | 4–2 | 66.67% |
| no brainer vs Heihachi | 1–5 | 16.67% |
| no brainer vs Jack-8 | 2–3 | 40.00% |
| no brainer vs Lars | 1–4 | 20.00% |
| no brainer vs Nina | 4–1 | 80.00% |
| no brainer vs Kuma | 0–5 | 0.00% |
| no brainer vs Eddy | 1–4 | 20.00% |
| no brainer vs Claudio | 1–3 | 25.00% |
| no brainer vs Shaheen | 0–4 | 0.00% |
| no brainer vs Alisa | 0–3 | 0.00% |
| no brainer vs Xiaoyu | 0–2 | 0.00% |
| no brainer vs Devil Jin | 0–2 | 0.00% |
| no brainer vs Feng | 2–0 | 100.00% |
| no brainer vs Leroy | 0–2 | 0.00% |
| no brainer vs Raven | 0–2 | 0.00% |
| no brainer vs Leo | 0–1 | 0.00% |
| no brainer vs Panda | 0–1 | 0.00% |
| no brainer vs Zafina | 0–1 | 0.00% |
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.