| Nasty vs King | 86–104 | 45.26% |
| Nasty vs Kazuya | 74–104 | 41.57% |
| Nasty vs Jin | 67–108 | 38.29% |
| Nasty vs Reina | 63–87 | 42.00% |
| Nasty vs Hwoarang | 62–54 | 53.45% |
| Nasty vs Bryan | 46–70 | 39.66% |
| Nasty vs Law | 45–65 | 40.91% |
| Nasty vs Clive | 45–60 | 42.86% |
| Nasty vs Jun | 50–41 | 54.95% |
| Nasty vs Dragunov | 39–49 | 44.32% |
| Nasty vs Steve | 36–51 | 41.38% |
| Nasty vs Lili | 39–45 | 46.43% |
| Nasty vs Lidia | 41–43 | 48.81% |
| Nasty vs Heihachi | 35–48 | 42.17% |
| Nasty vs Eddy | 24–55 | 30.38% |
| Nasty vs Azucena | 32–46 | 41.03% |
| Nasty vs Victor | 34–43 | 44.16% |
| Nasty vs Lee | 31–39 | 44.29% |
| Nasty vs Yoshimitsu | 28–37 | 43.08% |
| Nasty vs Paul | 19–40 | 32.20% |
| Nasty vs Leo | 16–40 | 28.57% |
| Nasty vs Asuka | 27–27 | 50.00% |
| Nasty vs Lars | 16–38 | 29.63% |
| Nasty vs Nina | 24–28 | 46.15% |
| Nasty vs Feng | 19–31 | 38.00% |
| Nasty vs Xiaoyu | 23–20 | 53.49% |
| Nasty vs Alisa | 17–26 | 39.53% |
| Nasty vs Raven | 16–25 | 39.02% |
| Nasty vs Jack-8 | 18–18 | 50.00% |
| Nasty vs Leroy | 13–21 | 38.24% |
| Nasty vs Claudio | 8–20 | 28.57% |
| Nasty vs Devil Jin | 7–13 | 35.00% |
| Nasty vs Kuma | 9–8 | 52.94% |
| Nasty vs Zafina | 8–9 | 47.06% |
| Nasty vs Shaheen | 6–8 | 42.86% |
| Nasty vs Panda | 2–7 | 22.22% |
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.