| Noturnojh vs King | 201–179 | 52.89% |
| Noturnojh vs Armor King | 188–157 | 54.49% |
| Noturnojh vs Kazuya | 155–188 | 45.19% |
| Noturnojh vs Jin | 135–191 | 41.41% |
| Noturnojh vs Bryan | 119–146 | 44.91% |
| Noturnojh vs Heihachi | 117–122 | 48.95% |
| Noturnojh vs Steve | 109–111 | 49.55% |
| Noturnojh vs Law | 132–78 | 62.86% |
| Noturnojh vs Reina | 79–105 | 42.93% |
| Noturnojh vs Lili | 88–95 | 48.09% |
| Noturnojh vs Dragunov | 80–103 | 43.72% |
| Noturnojh vs Eddy | 82–83 | 49.70% |
| Noturnojh vs Devil Jin | 57–64 | 47.11% |
| Noturnojh vs Paul | 39–80 | 32.77% |
| Noturnojh vs Hwoarang | 55–63 | 46.61% |
| Noturnojh vs Lee | 53–65 | 44.92% |
| Noturnojh vs Fahkumram | 50–59 | 45.87% |
| Noturnojh vs Anna | 33–71 | 31.73% |
| Noturnojh vs Xiaoyu | 51–52 | 49.51% |
| Noturnojh vs Yoshimitsu | 56–45 | 55.45% |
| Noturnojh vs Asuka | 47–50 | 48.45% |
| Noturnojh vs Azucena | 45–48 | 48.39% |
| Noturnojh vs Jun | 42–49 | 46.15% |
| Noturnojh vs Victor | 34–50 | 40.48% |
| Noturnojh vs Feng | 36–46 | 43.90% |
| Noturnojh vs Lidia | 34–47 | 41.98% |
| Noturnojh vs Jack-8 | 32–42 | 43.24% |
| Noturnojh vs Lars | 31–37 | 45.59% |
| Noturnojh vs Alisa | 24–39 | 38.10% |
| Noturnojh vs Claudio | 24–37 | 39.34% |
| Noturnojh vs Nina | 33–28 | 54.10% |
| Noturnojh vs Miary Zo | 14–36 | 28.00% |
| Noturnojh vs Leroy | 20–29 | 40.82% |
| Noturnojh vs Leo | 24–18 | 57.14% |
| Noturnojh vs Zafina | 21–19 | 52.50% |
| Noturnojh vs Clive | 13–27 | 32.50% |
| Noturnojh vs Raven | 11–17 | 39.29% |
| Noturnojh vs Shaheen | 7–19 | 26.92% |
| Noturnojh vs Kuma | 12–10 | 54.55% |
| Noturnojh vs Panda | 7–5 | 58.33% |
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.