| Nao777 vs Paul | 49–55 | 47.12% |
| Nao777 vs Reina | 45–58 | 43.69% |
| Nao777 vs Hwoarang | 33–57 | 36.67% |
| Nao777 vs Asuka | 37–41 | 47.44% |
| Nao777 vs Jin | 31–44 | 41.33% |
| Nao777 vs Kazuya | 40–32 | 55.56% |
| Nao777 vs Dragunov | 40–30–1 | 57.14% |
| Nao777 vs King | 34–35 | 49.28% |
| Nao777 vs Lili | 32–37 | 46.38% |
| Nao777 vs Bryan | 27–39 | 40.91% |
| Nao777 vs Law | 27–30 | 47.37% |
| Nao777 vs Jun | 24–31 | 43.64% |
| Nao777 vs Yoshimitsu | 22–28 | 44.00% |
| Nao777 vs Victor | 26–22 | 54.17% |
| Nao777 vs Alisa | 19–23–1 | 45.24% |
| Nao777 vs Lars | 19–23 | 45.24% |
| Nao777 vs Claudio | 14–26 | 35.00% |
| Nao777 vs Azucena | 23–13 | 63.89% |
| Nao777 vs Steve | 16–19 | 45.71% |
| Nao777 vs Xiaoyu | 22–12 | 64.71% |
| Nao777 vs Nina | 11–19 | 36.67% |
| Nao777 vs Eddy | 12–18 | 40.00% |
| Nao777 vs Feng | 16–13 | 55.17% |
| Nao777 vs Lee | 9–17 | 34.62% |
| Nao777 vs Devil Jin | 11–14 | 44.00% |
| Nao777 vs Leo | 10–15 | 40.00% |
| Nao777 vs Lidia | 10–12 | 45.45% |
| Nao777 vs Kuma | 8–13 | 38.10% |
| Nao777 vs Jack-8 | 9–10 | 47.37% |
| Nao777 vs Zafina | 7–8 | 46.67% |
| Nao777 vs Raven | 7–7 | 50.00% |
| Nao777 vs Shaheen | 3–7 | 30.00% |
| Nao777 vs Leroy | 4–5 | 44.44% |
| Nao777 vs Panda | 7–1 | 87.50% |
| Nao777 vs Clive | 3–4 | 42.86% |
| Nao777 vs Heihachi | 0–4 | 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.