| Nah I'd Win vs Jin | 26–13 | 66.67% |
| Nah I'd Win vs Kazuya | 26–9 | 74.29% |
| Nah I'd Win vs King | 10–12 | 45.45% |
| Nah I'd Win vs Bryan | 13–7 | 65.00% |
| Nah I'd Win vs Devil Jin | 13–4 | 76.47% |
| Nah I'd Win vs Eddy | 14–3 | 82.35% |
| Nah I'd Win vs Paul | 7–9 | 43.75% |
| Nah I'd Win vs Lidia | 8–8 | 50.00% |
| Nah I'd Win vs Yoshimitsu | 9–5 | 64.29% |
| Nah I'd Win vs Hwoarang | 9–5 | 64.29% |
| Nah I'd Win vs Jun | 8–5 | 61.54% |
| Nah I'd Win vs Law | 8–4 | 66.67% |
| Nah I'd Win vs Steve | 9–3 | 75.00% |
| Nah I'd Win vs Azucena | 2–10 | 16.67% |
| Nah I'd Win vs Lili | 6–5 | 54.55% |
| Nah I'd Win vs Dragunov | 4–7 | 36.36% |
| Nah I'd Win vs Lee | 8–3 | 72.73% |
| Nah I'd Win vs Kuma | 3–7 | 30.00% |
| Nah I'd Win vs Zafina | 7–3 | 70.00% |
| Nah I'd Win vs Asuka | 6–2 | 75.00% |
| Nah I'd Win vs Nina | 5–3 | 62.50% |
| Nah I'd Win vs Leroy | 4–4 | 50.00% |
| Nah I'd Win vs Reina | 3–5 | 37.50% |
| Nah I'd Win vs Feng | 2–5 | 28.57% |
| Nah I'd Win vs Victor | 5–2 | 71.43% |
| Nah I'd Win vs Xiaoyu | 3–3 | 50.00% |
| Nah I'd Win vs Claudio | 0–4 | 0.00% |
| Nah I'd Win vs Leo | 2–1 | 66.67% |
| Nah I'd Win vs Shaheen | 2–1 | 66.67% |
| Nah I'd Win vs Panda | 2–1 | 66.67% |
| Nah I'd Win vs Jack-8 | 2–0 | 100.00% |
| Nah I'd Win vs Lars | 1–0 | 100.00% |
| Nah I'd Win vs Alisa | 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.