| Nangmu vs Reina | 94–63 | 59.87% |
| Nangmu vs Dragunov | 69–79 | 46.62% |
| Nangmu vs Paul | 77–63 | 55.00% |
| Nangmu vs Hwoarang | 77–54 | 58.78% |
| Nangmu vs Kazuya | 64–53 | 54.70% |
| Nangmu vs Bryan | 53–55 | 49.07% |
| Nangmu vs Jin | 49–58 | 45.79% |
| Nangmu vs King | 58–44 | 56.86% |
| Nangmu vs Asuka | 46–54 | 46.00% |
| Nangmu vs Heihachi | 51–45 | 53.12% |
| Nangmu vs Steve | 42–53 | 44.21% |
| Nangmu vs Lili | 39–45 | 46.43% |
| Nangmu vs Feng | 43–39 | 52.44% |
| Nangmu vs Victor | 35–44 | 44.30% |
| Nangmu vs Yoshimitsu | 44–31 | 58.67% |
| Nangmu vs Jun | 48–26 | 64.86% |
| Nangmu vs Law | 42–28 | 60.00% |
| Nangmu vs Devil Jin | 43–26 | 62.32% |
| Nangmu vs Alisa | 30–37 | 44.78% |
| Nangmu vs Lars | 34–30 | 53.12% |
| Nangmu vs Azucena | 36–26 | 58.06% |
| Nangmu vs Claudio | 27–33 | 45.00% |
| Nangmu vs Leroy | 36–23 | 61.02% |
| Nangmu vs Jack-8 | 18–28 | 39.13% |
| Nangmu vs Xiaoyu | 17–27 | 38.64% |
| Nangmu vs Lee | 14–27 | 34.15% |
| Nangmu vs Nina | 16–22 | 42.11% |
| Nangmu vs Leo | 9–28 | 24.32% |
| Nangmu vs Clive | 23–12 | 65.71% |
| Nangmu vs Eddy | 23–11 | 67.65% |
| Nangmu vs Kuma | 19–10 | 65.52% |
| Nangmu vs Zafina | 17–12 | 58.62% |
| Nangmu vs Shaheen | 9–19 | 32.14% |
| Nangmu vs Lidia | 17–8 | 68.00% |
| Nangmu vs Raven | 12–11 | 52.17% |
| Nangmu vs Panda | 11–10 | 52.38% |
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.