| NmX-Auws vs Kazuya | 26–8 | 76.47% |
| NmX-Auws vs Paul | 20–6 | 76.92% |
| NmX-Auws vs Law | 15–8 | 65.22% |
| NmX-Auws vs Eddy | 13–8 | 61.90% |
| NmX-Auws vs King | 11–9 | 55.00% |
| NmX-Auws vs Lars | 15–4 | 78.95% |
| NmX-Auws vs Lee | 15–4 | 78.95% |
| NmX-Auws vs Jin | 8–10 | 44.44% |
| NmX-Auws vs Feng | 13–5 | 72.22% |
| NmX-Auws vs Dragunov | 11–6 | 64.71% |
| NmX-Auws vs Reina | 16–1 | 94.12% |
| NmX-Auws vs Jack-8 | 12–3 | 80.00% |
| NmX-Auws vs Devil Jin | 12–3 | 80.00% |
| NmX-Auws vs Heihachi | 6–9 | 40.00% |
| NmX-Auws vs Hwoarang | 9–5 | 64.29% |
| NmX-Auws vs Steve | 8–5 | 61.54% |
| NmX-Auws vs Raven | 6–7 | 46.15% |
| NmX-Auws vs Bryan | 4–8 | 33.33% |
| NmX-Auws vs Shaheen | 5–7 | 41.67% |
| NmX-Auws vs Jun | 5–7 | 41.67% |
| NmX-Auws vs Yoshimitsu | 9–2 | 81.82% |
| NmX-Auws vs Zafina | 10–1 | 90.91% |
| NmX-Auws vs Lili | 6–4 | 60.00% |
| NmX-Auws vs Nina | 3–7 | 30.00% |
| NmX-Auws vs Leo | 6–3 | 66.67% |
| NmX-Auws vs Leroy | 8–1 | 88.89% |
| NmX-Auws vs Xiaoyu | 6–1 | 85.71% |
| NmX-Auws vs Asuka | 4–3 | 57.14% |
| NmX-Auws vs Anna | 4–0 | 100.00% |
| NmX-Auws vs Kuma | 2–1 | 66.67% |
| NmX-Auws vs Alisa | 1–1 | 50.00% |
| NmX-Auws vs Claudio | 2–0 | 100.00% |
| NmX-Auws vs Panda | 2–0 | 100.00% |
| NmX-Auws vs Victor | 0–2 | 0.00% |
| NmX-Auws vs Lidia | 2–0 | 100.00% |
| NmX-Auws vs Azucena | 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.