| n0xs vs Miary Zo | 44–118 | 27.16% |
| n0xs vs Jin | 56–86 | 39.44% |
| n0xs vs Steve | 58–82 | 41.43% |
| n0xs vs Kazuya | 64–57 | 52.89% |
| n0xs vs Armor King | 35–76 | 31.53% |
| n0xs vs King | 35–62 | 36.08% |
| n0xs vs Bryan | 42–53 | 44.21% |
| n0xs vs Dragunov | 30–63 | 32.26% |
| n0xs vs Reina | 27–51 | 34.62% |
| n0xs vs Hwoarang | 32–44 | 42.11% |
| n0xs vs Lili | 25–49 | 33.78% |
| n0xs vs Law | 31–37 | 45.59% |
| n0xs vs Heihachi | 23–36 | 38.98% |
| n0xs vs Paul | 19–35 | 35.19% |
| n0xs vs Fahkumram | 10–39 | 20.41% |
| n0xs vs Asuka | 23–25 | 47.92% |
| n0xs vs Lee | 18–26 | 40.91% |
| n0xs vs Yoshimitsu | 18–24 | 42.86% |
| n0xs vs Victor | 17–24 | 41.46% |
| n0xs vs Azucena | 7–33 | 17.50% |
| n0xs vs Clive | 13–19 | 40.62% |
| n0xs vs Lars | 11–19 | 36.67% |
| n0xs vs Eddy | 6–24 | 20.00% |
| n0xs vs Zafina | 13–14 | 48.15% |
| n0xs vs Devil Jin | 9–16 | 36.00% |
| n0xs vs Jun | 6–18 | 25.00% |
| n0xs vs Xiaoyu | 4–19 | 17.39% |
| n0xs vs Lidia | 10–12 | 45.45% |
| n0xs vs Alisa | 9–12 | 42.86% |
| n0xs vs Nina | 5–13 | 27.78% |
| n0xs vs Jack-8 | 4–13 | 23.53% |
| n0xs vs Feng | 6–8 | 42.86% |
| n0xs vs Claudio | 6–7–1 | 46.15% |
| n0xs vs Leo | 1–11 | 8.33% |
| n0xs vs Leroy | 4–8 | 33.33% |
| n0xs vs Raven | 4–4 | 50.00% |
| n0xs vs Anna | 1–5 | 16.67% |
| n0xs vs Kuma | 4–1 | 80.00% |
| n0xs vs Shaheen | 1–1 | 50.00% |
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.