| NYX Café vs Jin | 52–44 | 54.17% |
| NYX Café vs Clive | 44–28 | 61.11% |
| NYX Café vs Reina | 34–27 | 55.74% |
| NYX Café vs Law | 44–16 | 73.33% |
| NYX Café vs Kazuya | 37–16 | 69.81% |
| NYX Café vs Dragunov | 27–20 | 57.45% |
| NYX Café vs King | 28–18 | 60.87% |
| NYX Café vs Steve | 29–7 | 80.56% |
| NYX Café vs Lars | 21–15 | 58.33% |
| NYX Café vs Eddy | 17–18 | 48.57% |
| NYX Café vs Bryan | 14–20 | 41.18% |
| NYX Café vs Hwoarang | 23–10 | 69.70% |
| NYX Café vs Paul | 19–9 | 67.86% |
| NYX Café vs Jun | 22–6 | 78.57% |
| NYX Café vs Victor | 12–11 | 52.17% |
| NYX Café vs Yoshimitsu | 11–10 | 52.38% |
| NYX Café vs Lili | 16–5 | 76.19% |
| NYX Café vs Leo | 13–7 | 65.00% |
| NYX Café vs Heihachi | 11–8 | 57.89% |
| NYX Café vs Devil Jin | 9–9 | 50.00% |
| NYX Café vs Alisa | 9–9 | 50.00% |
| NYX Café vs Lee | 12–6 | 66.67% |
| NYX Café vs Leroy | 9–9 | 50.00% |
| NYX Café vs Feng | 7–9 | 43.75% |
| NYX Café vs Xiaoyu | 12–3 | 80.00% |
| NYX Café vs Claudio | 8–4 | 66.67% |
| NYX Café vs Kuma | 5–7 | 41.67% |
| NYX Café vs Azucena | 9–3 | 75.00% |
| NYX Café vs Asuka | 7–4 | 63.64% |
| NYX Café vs Raven | 4–3 | 57.14% |
| NYX Café vs Lidia | 4–3 | 57.14% |
| NYX Café vs Zafina | 1–5 | 16.67% |
| NYX Café vs Shaheen | 3–2 | 60.00% |
| NYX Café vs Nina | 4–0 | 100.00% |
| NYX Café vs Jack-8 | 2–0 | 100.00% |
| NYX Café vs Panda | 2–0 | 100.00% |
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.