| NOAH-Mon vs Heihachi | 166–41 | 80.19% |
| NOAH-Mon vs Kazuya | 72–6 | 92.31% |
| NOAH-Mon vs Dragunov | 64–9 | 87.67% |
| NOAH-Mon vs Jin | 54–9 | 85.71% |
| NOAH-Mon vs Reina | 60–2 | 96.77% |
| NOAH-Mon vs Paul | 44–3 | 93.62% |
| NOAH-Mon vs King | 41–5 | 89.13% |
| NOAH-Mon vs Hwoarang | 39–7 | 84.78% |
| NOAH-Mon vs Yoshimitsu | 34–11 | 75.56% |
| NOAH-Mon vs Bryan | 43–2 | 95.56% |
| NOAH-Mon vs Asuka | 36–2 | 94.74% |
| NOAH-Mon vs Lili | 32–2 | 94.12% |
| NOAH-Mon vs Lidia | 25–8 | 75.76% |
| NOAH-Mon vs Leo | 25–3 | 89.29% |
| NOAH-Mon vs Alisa | 27–1 | 96.43% |
| NOAH-Mon vs Azucena | 22–6 | 78.57% |
| NOAH-Mon vs Claudio | 20–7 | 74.07% |
| NOAH-Mon vs Victor | 20–3 | 86.96% |
| NOAH-Mon vs Xiaoyu | 20–1 | 95.24% |
| NOAH-Mon vs Steve | 18–3 | 85.71% |
| NOAH-Mon vs Nina | 17–4 | 80.95% |
| NOAH-Mon vs Devil Jin | 16–3 | 84.21% |
| NOAH-Mon vs Jack-8 | 11–7 | 61.11% |
| NOAH-Mon vs Leroy | 14–3 | 82.35% |
| NOAH-Mon vs Jun | 14–3 | 82.35% |
| NOAH-Mon vs Eddy | 13–4 | 76.47% |
| NOAH-Mon vs Law | 13–2 | 86.67% |
| NOAH-Mon vs Feng | 12–1 | 92.31% |
| NOAH-Mon vs Lars | 12–1 | 92.31% |
| NOAH-Mon vs Lee | 9–4 | 69.23% |
| NOAH-Mon vs Shaheen | 9–2 | 81.82% |
| NOAH-Mon vs Panda | 5–2 | 71.43% |
| NOAH-Mon vs Kuma | 4–0 | 100.00% |
| NOAH-Mon vs Zafina | 1–1 | 50.00% |
| NOAH-Mon vs Raven | 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.