| Nyc0202 vs Jin | 34–24 | 58.62% |
| Nyc0202 vs Kazuya | 25–28 | 47.17% |
| Nyc0202 vs Reina | 28–20 | 58.33% |
| Nyc0202 vs Law | 17–24 | 41.46% |
| Nyc0202 vs Hwoarang | 12–28 | 30.00% |
| Nyc0202 vs King | 11–16 | 40.74% |
| Nyc0202 vs Steve | 12–14 | 46.15% |
| Nyc0202 vs Nina | 12–14 | 46.15% |
| Nyc0202 vs Jun | 10–16 | 38.46% |
| Nyc0202 vs Azucena | 11–15 | 42.31% |
| Nyc0202 vs Paul | 15–10 | 60.00% |
| Nyc0202 vs Lidia | 14–9 | 60.87% |
| Nyc0202 vs Bryan | 8–14 | 36.36% |
| Nyc0202 vs Lili | 9–13 | 40.91% |
| Nyc0202 vs Eddy | 5–15 | 25.00% |
| Nyc0202 vs Yoshimitsu | 7–11 | 38.89% |
| Nyc0202 vs Dragunov | 8–10 | 44.44% |
| Nyc0202 vs Clive | 10–7 | 58.82% |
| Nyc0202 vs Xiaoyu | 8–8 | 50.00% |
| Nyc0202 vs Lee | 9–5 | 64.29% |
| Nyc0202 vs Alisa | 5–8 | 38.46% |
| Nyc0202 vs Devil Jin | 4–8 | 33.33% |
| Nyc0202 vs Feng | 2–10 | 16.67% |
| Nyc0202 vs Victor | 7–5 | 58.33% |
| Nyc0202 vs Heihachi | 6–5 | 54.55% |
| Nyc0202 vs Leo | 6–4 | 60.00% |
| Nyc0202 vs Leroy | 8–2 | 80.00% |
| Nyc0202 vs Asuka | 3–6 | 33.33% |
| Nyc0202 vs Lars | 6–2 | 75.00% |
| Nyc0202 vs Jack-8 | 4–3 | 57.14% |
| Nyc0202 vs Claudio | 4–3 | 57.14% |
| Nyc0202 vs Kuma | 2–1 | 66.67% |
| Nyc0202 vs Shaheen | 0–2 | 0.00% |
| Nyc0202 vs Panda | 2–0 | 100.00% |
| Nyc0202 vs Zafina | 1–0 | 100.00% |
| Nyc0202 vs Raven | 0–1 | 0.00% |
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.