| Nevan92 vs Jin | 98–125 | 43.95% |
| Nevan92 vs Kazuya | 92–100 | 47.92% |
| Nevan92 vs King | 82–102 | 44.57% |
| Nevan92 vs Hwoarang | 85–89 | 48.85% |
| Nevan92 vs Bryan | 78–66 | 54.17% |
| Nevan92 vs Law | 65–76 | 46.10% |
| Nevan92 vs Reina | 45–67 | 40.18% |
| Nevan92 vs Yoshimitsu | 52–47 | 52.53% |
| Nevan92 vs Paul | 42–55 | 43.30% |
| Nevan92 vs Dragunov | 44–42 | 51.16% |
| Nevan92 vs Steve | 33–47 | 41.25% |
| Nevan92 vs Eddy | 46–29 | 61.33% |
| Nevan92 vs Lili | 38–34 | 52.78% |
| Nevan92 vs Lee | 32–38 | 45.71% |
| Nevan92 vs Victor | 27–42 | 39.13% |
| Nevan92 vs Feng | 26–39 | 40.00% |
| Nevan92 vs Asuka | 27–33 | 45.00% |
| Nevan92 vs Devil Jin | 21–33 | 38.89% |
| Nevan92 vs Lars | 22–28 | 44.00% |
| Nevan92 vs Nina | 24–26 | 48.00% |
| Nevan92 vs Jun | 22–26 | 45.83% |
| Nevan92 vs Xiaoyu | 22–24 | 47.83% |
| Nevan92 vs Alisa | 28–17 | 62.22% |
| Nevan92 vs Azucena | 22–18 | 55.00% |
| Nevan92 vs Lidia | 16–23 | 41.03% |
| Nevan92 vs Jack-8 | 16–17 | 48.48% |
| Nevan92 vs Leo | 10–13 | 43.48% |
| Nevan92 vs Claudio | 11–10 | 52.38% |
| Nevan92 vs Raven | 6–13 | 31.58% |
| Nevan92 vs Kuma | 8–9 | 47.06% |
| Nevan92 vs Leroy | 8–5 | 61.54% |
| Nevan92 vs Heihachi | 10–3 | 76.92% |
| Nevan92 vs Panda | 6–6 | 50.00% |
| Nevan92 vs Zafina | 2–9 | 18.18% |
| Nevan92 vs Shaheen | 6–3 | 66.67% |
| Nevan92 vs Fahkumram | 2–1 | 66.67% |
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.