| Nina_F_17 vs King | 23–15 | 60.53% |
| Nina_F_17 vs Steve | 21–16 | 56.76% |
| Nina_F_17 vs Kazuya | 16–13 | 55.17% |
| Nina_F_17 vs Dragunov | 12–16 | 42.86% |
| Nina_F_17 vs Paul | 8–19 | 29.63% |
| Nina_F_17 vs Reina | 10–16 | 38.46% |
| Nina_F_17 vs Hwoarang | 5–19 | 20.83% |
| Nina_F_17 vs Bryan | 11–13 | 45.83% |
| Nina_F_17 vs Jin | 5–17 | 22.73% |
| Nina_F_17 vs Lidia | 8–11 | 42.11% |
| Nina_F_17 vs Heihachi | 5–13 | 27.78% |
| Nina_F_17 vs Clive | 8–10 | 44.44% |
| Nina_F_17 vs Jun | 9–8 | 52.94% |
| Nina_F_17 vs Azucena | 10–5 | 66.67% |
| Nina_F_17 vs Kuma | 3–11 | 21.43% |
| Nina_F_17 vs Lili | 5–8 | 38.46% |
| Nina_F_17 vs Victor | 6–7 | 46.15% |
| Nina_F_17 vs Law | 4–6 | 40.00% |
| Nina_F_17 vs Alisa | 5–5 | 50.00% |
| Nina_F_17 vs Jack-8 | 4–5 | 44.44% |
| Nina_F_17 vs Lee | 5–4 | 55.56% |
| Nina_F_17 vs Xiaoyu | 5–2 | 71.43% |
| Nina_F_17 vs Devil Jin | 2–5 | 28.57% |
| Nina_F_17 vs Yoshimitsu | 2–4 | 33.33% |
| Nina_F_17 vs Feng | 2–4 | 33.33% |
| Nina_F_17 vs Leo | 3–3 | 50.00% |
| Nina_F_17 vs Claudio | 2–4 | 33.33% |
| Nina_F_17 vs Shaheen | 4–1 | 80.00% |
| Nina_F_17 vs Leroy | 4–1 | 80.00% |
| Nina_F_17 vs Nina | 2–2 | 50.00% |
| Nina_F_17 vs Asuka | 3–0 | 100.00% |
| Nina_F_17 vs Panda | 2–1 | 66.67% |
| Nina_F_17 vs Anna | 0–2 | 0.00% |
| Nina_F_17 vs Raven | 1–0 | 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.