| nur1_.kgl vs Kazuya | 150–152 | 49.67% |
| nur1_.kgl vs Hwoarang | 115–98 | 53.99% |
| nur1_.kgl vs Jin | 96–109 | 46.83% |
| nur1_.kgl vs King | 107–96 | 52.71% |
| nur1_.kgl vs Bryan | 104–84 | 55.32% |
| nur1_.kgl vs Steve | 81–76 | 51.59% |
| nur1_.kgl vs Reina | 82–54 | 60.29% |
| nur1_.kgl vs Law | 61–70 | 46.56% |
| nur1_.kgl vs Jun | 68–59–1 | 53.54% |
| nur1_.kgl vs Paul | 66–60 | 52.38% |
| nur1_.kgl vs Lili | 60–65 | 48.00% |
| nur1_.kgl vs Heihachi | 57–61 | 48.31% |
| nur1_.kgl vs Devil Jin | 58–57 | 50.43% |
| nur1_.kgl vs Yoshimitsu | 62–52 | 54.39% |
| nur1_.kgl vs Dragunov | 55–48 | 53.40% |
| nur1_.kgl vs Alisa | 42–60 | 41.18% |
| nur1_.kgl vs Nina | 51–50 | 50.50% |
| nur1_.kgl vs Anna | 47–36 | 56.63% |
| nur1_.kgl vs Eddy | 42–40 | 51.22% |
| nur1_.kgl vs Asuka | 39–40 | 49.37% |
| nur1_.kgl vs Xiaoyu | 41–31 | 56.94% |
| nur1_.kgl vs Azucena | 29–43 | 40.28% |
| nur1_.kgl vs Victor | 39–32 | 54.93% |
| nur1_.kgl vs Lee | 30–40 | 42.86% |
| nur1_.kgl vs Lidia | 27–43 | 38.57% |
| nur1_.kgl vs Lars | 41–27 | 60.29% |
| nur1_.kgl vs Feng | 31–29 | 51.67% |
| nur1_.kgl vs Clive | 22–28 | 44.00% |
| nur1_.kgl vs Jack-8 | 22–15 | 59.46% |
| nur1_.kgl vs Fahkumram | 14–23 | 37.84% |
| nur1_.kgl vs Leroy | 15–21 | 41.67% |
| nur1_.kgl vs Raven | 18–18 | 50.00% |
| nur1_.kgl vs Leo | 19–15 | 55.88% |
| nur1_.kgl vs Claudio | 11–21 | 34.38% |
| nur1_.kgl vs Kuma | 17–7 | 70.83% |
| nur1_.kgl vs Shaheen | 10–12 | 45.45% |
| nur1_.kgl vs Zafina | 5–13 | 27.78% |
| nur1_.kgl vs Panda | 4–12 | 25.00% |
| nur1_.kgl vs Armor King | 7–2 | 77.78% |
| nur1_.kgl vs Miary Zo | 1–2 | 33.33% |
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.