| Nocturne vs King | 74–68 | 52.11% |
| Nocturne vs Law | 52–69 | 42.98% |
| Nocturne vs Kazuya | 63–57 | 52.50% |
| Nocturne vs Paul | 63–49 | 56.25% |
| Nocturne vs Heihachi | 59–50 | 54.13% |
| Nocturne vs Bryan | 61–45 | 57.55% |
| Nocturne vs Jin | 46–48 | 48.94% |
| Nocturne vs Dragunov | 55–35 | 61.11% |
| Nocturne vs Lili | 56–32 | 63.64% |
| Nocturne vs Hwoarang | 48–39 | 55.17% |
| Nocturne vs Yoshimitsu | 47–34 | 58.02% |
| Nocturne vs Reina | 60–21 | 74.07% |
| Nocturne vs Steve | 39–41 | 48.75% |
| Nocturne vs Victor | 45–30 | 60.00% |
| Nocturne vs Xiaoyu | 44–30 | 59.46% |
| Nocturne vs Lars | 36–35 | 50.70% |
| Nocturne vs Jun | 35–36 | 49.30% |
| Nocturne vs Devil Jin | 45–25 | 64.29% |
| Nocturne vs Azucena | 44–26 | 62.86% |
| Nocturne vs Lee | 37–28 | 56.92% |
| Nocturne vs Nina | 34–30 | 53.12% |
| Nocturne vs Asuka | 31–30 | 50.82% |
| Nocturne vs Alisa | 32–24 | 57.14% |
| Nocturne vs Raven | 32–22 | 59.26% |
| Nocturne vs Eddy | 22–28 | 44.00% |
| Nocturne vs Claudio | 26–21 | 55.32% |
| Nocturne vs Lidia | 19–21 | 47.50% |
| Nocturne vs Jack-8 | 16–23 | 41.03% |
| Nocturne vs Feng | 19–19 | 50.00% |
| Nocturne vs Shaheen | 17–13 | 56.67% |
| Nocturne vs Zafina | 12–18 | 40.00% |
| Nocturne vs Leo | 13–15 | 46.43% |
| Nocturne vs Kuma | 8–17 | 32.00% |
| Nocturne vs Leroy | 14–8 | 63.64% |
| Nocturne vs Panda | 4–2 | 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.