| noa_ vs Paul | 33–8 | 80.49% |
| noa_ vs Reina | 26–11 | 70.27% |
| noa_ vs Kazuya | 23–12 | 65.71% |
| noa_ vs Asuka | 25–9 | 73.53% |
| noa_ vs King | 26–4 | 86.67% |
| noa_ vs Lili | 23–7 | 76.67% |
| noa_ vs Law | 17–10 | 62.96% |
| noa_ vs Yoshimitsu | 16–10 | 61.54% |
| noa_ vs Jin | 20–6 | 76.92% |
| noa_ vs Hwoarang | 16–9 | 64.00% |
| noa_ vs Dragunov | 19–6 | 76.00% |
| noa_ vs Bryan | 17–7 | 70.83% |
| noa_ vs Eddy | 11–12 | 47.83% |
| noa_ vs Jun | 13–8 | 61.90% |
| noa_ vs Alisa | 11–8 | 57.89% |
| noa_ vs Raven | 13–5 | 72.22% |
| noa_ vs Steve | 13–4 | 76.47% |
| noa_ vs Lars | 14–2 | 87.50% |
| noa_ vs Kuma | 8–8 | 50.00% |
| noa_ vs Jack-8 | 10–5 | 66.67% |
| noa_ vs Clive | 7–8 | 46.67% |
| noa_ vs Xiaoyu | 7–6 | 53.85% |
| noa_ vs Claudio | 7–6 | 53.85% |
| noa_ vs Zafina | 8–5 | 61.54% |
| noa_ vs Azucena | 8–4 | 66.67% |
| noa_ vs Victor | 11–1 | 91.67% |
| noa_ vs Leo | 8–1 | 88.89% |
| noa_ vs Lee | 7–2 | 77.78% |
| noa_ vs Nina | 5–3 | 62.50% |
| noa_ vs Feng | 3–4 | 42.86% |
| noa_ vs Devil Jin | 5–1 | 83.33% |
| noa_ vs Panda | 3–2 | 60.00% |
| noa_ vs Fahkumram | 2–3 | 40.00% |
| noa_ vs Shaheen | 4–0 | 100.00% |
| noa_ vs Heihachi | 3–0 | 100.00% |
| noa_ vs Anna | 1–2 | 33.33% |
| noa_ vs Leroy | 2–0 | 100.00% |
| noa_ vs Armor King | 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.