| kew nina vs Kazuya | 31–17 | 64.58% |
| kew nina vs Jin | 20–15 | 57.14% |
| kew nina vs Bryan | 17–17 | 50.00% |
| kew nina vs King | 23–9 | 71.88% |
| kew nina vs Dragunov | 15–15 | 50.00% |
| kew nina vs Reina | 14–12 | 53.85% |
| kew nina vs Hwoarang | 11–13 | 45.83% |
| kew nina vs Steve | 11–11 | 50.00% |
| kew nina vs Paul | 14–7 | 66.67% |
| kew nina vs Lili | 17–3 | 85.00% |
| kew nina vs Heihachi | 6–7 | 46.15% |
| kew nina vs Leo | 8–4 | 66.67% |
| kew nina vs Jun | 8–3 | 72.73% |
| kew nina vs Victor | 4–6 | 40.00% |
| kew nina vs Yoshimitsu | 4–5 | 44.44% |
| kew nina vs Devil Jin | 3–6 | 33.33% |
| kew nina vs Feng | 7–2 | 77.78% |
| kew nina vs Claudio | 6–3 | 66.67% |
| kew nina vs Eddy | 2–7 | 22.22% |
| kew nina vs Law | 5–3 | 62.50% |
| kew nina vs Jack-8 | 4–4 | 50.00% |
| kew nina vs Lidia | 3–5 | 37.50% |
| kew nina vs Asuka | 4–2 | 66.67% |
| kew nina vs Shaheen | 0–6 | 0.00% |
| kew nina vs Lee | 3–3 | 50.00% |
| kew nina vs Zafina | 4–2 | 66.67% |
| kew nina vs Alisa | 3–2 | 60.00% |
| kew nina vs Nina | 5–0 | 100.00% |
| kew nina vs Leroy | 2–3 | 40.00% |
| kew nina vs Clive | 3–2 | 60.00% |
| kew nina vs Xiaoyu | 0–4 | 0.00% |
| kew nina vs Lars | 1–3 | 25.00% |
| kew nina vs Kuma | 4–0 | 100.00% |
| kew nina vs Panda | 1–1 | 50.00% |
| kew nina vs Azucena | 2–0 | 100.00% |
| kew nina vs Raven | 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.