| Nhongdernwai vs Jin | 173–139 | 55.45% |
| Nhongdernwai vs Kazuya | 128–110 | 53.78% |
| Nhongdernwai vs Reina | 111–85 | 56.63% |
| Nhongdernwai vs Dragunov | 97–88 | 52.43% |
| Nhongdernwai vs King | 87–82 | 51.48% |
| Nhongdernwai vs Bryan | 79–78 | 50.32% |
| Nhongdernwai vs Law | 61–60 | 50.41% |
| Nhongdernwai vs Steve | 58–57 | 50.43% |
| Nhongdernwai vs Jun | 65–49 | 57.02% |
| Nhongdernwai vs Victor | 63–50 | 55.75% |
| Nhongdernwai vs Lili | 49–62 | 44.14% |
| Nhongdernwai vs Paul | 43–66 | 39.45% |
| Nhongdernwai vs Devil Jin | 63–44 | 58.88% |
| Nhongdernwai vs Hwoarang | 46–43 | 51.69% |
| Nhongdernwai vs Claudio | 53–31 | 63.10% |
| Nhongdernwai vs Yoshimitsu | 39–42 | 48.15% |
| Nhongdernwai vs Leroy | 35–45 | 43.75% |
| Nhongdernwai vs Lars | 40–39 | 50.63% |
| Nhongdernwai vs Azucena | 42–31 | 57.53% |
| Nhongdernwai vs Asuka | 37–32 | 53.62% |
| Nhongdernwai vs Lee | 32–31 | 50.79% |
| Nhongdernwai vs Feng | 35–26 | 57.38% |
| Nhongdernwai vs Alisa | 28–30 | 48.28% |
| Nhongdernwai vs Leo | 21–36 | 36.84% |
| Nhongdernwai vs Nina | 25–32 | 43.86% |
| Nhongdernwai vs Xiaoyu | 26–20 | 56.52% |
| Nhongdernwai vs Eddy | 21–21 | 50.00% |
| Nhongdernwai vs Raven | 21–15 | 58.33% |
| Nhongdernwai vs Shaheen | 14–15 | 48.28% |
| Nhongdernwai vs Jack-8 | 10–15 | 40.00% |
| Nhongdernwai vs Kuma | 7–16 | 30.43% |
| Nhongdernwai vs Zafina | 3–14 | 17.65% |
| Nhongdernwai vs Lidia | 5–9 | 35.71% |
| Nhongdernwai vs Heihachi | 7–7 | 50.00% |
| Nhongdernwai vs Panda | 2–6 | 25.00% |
| Nhongdernwai vs Clive | 6–2 | 75.00% |
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.