| Nahira vs Reina | 31–9 | 77.50% |
| Nahira vs Kazuya | 24–9 | 72.73% |
| Nahira vs King | 22–5 | 81.48% |
| Nahira vs Jin | 17–9 | 65.38% |
| Nahira vs Bryan | 18–7 | 72.00% |
| Nahira vs Lili | 16–6 | 72.73% |
| Nahira vs Steve | 16–5 | 76.19% |
| Nahira vs Hwoarang | 13–6 | 68.42% |
| Nahira vs Eddy | 12–6 | 66.67% |
| Nahira vs Law | 12–5 | 70.59% |
| Nahira vs Dragunov | 14–2 | 87.50% |
| Nahira vs Alisa | 13–3 | 81.25% |
| Nahira vs Jun | 8–8 | 50.00% |
| Nahira vs Yoshimitsu | 12–1 | 92.31% |
| Nahira vs Lee | 12–1 | 92.31% |
| Nahira vs Xiaoyu | 12–0 | 100.00% |
| Nahira vs Jack-8 | 9–2 | 81.82% |
| Nahira vs Heihachi | 8–2 | 80.00% |
| Nahira vs Paul | 7–2 | 77.78% |
| Nahira vs Nina | 6–2 | 75.00% |
| Nahira vs Azucena | 8–0 | 100.00% |
| Nahira vs Devil Jin | 6–1 | 85.71% |
| Nahira vs Feng | 3–4 | 42.86% |
| Nahira vs Lidia | 7–0 | 100.00% |
| Nahira vs Anna | 4–3 | 57.14% |
| Nahira vs Asuka | 4–2 | 66.67% |
| Nahira vs Leo | 4–2 | 66.67% |
| Nahira vs Lars | 5–1 | 83.33% |
| Nahira vs Claudio | 3–3 | 50.00% |
| Nahira vs Zafina | 4–2 | 66.67% |
| Nahira vs Clive | 5–1 | 83.33% |
| Nahira vs Kuma | 4–0 | 100.00% |
| Nahira vs Victor | 1–3 | 25.00% |
| Nahira vs Leroy | 3–0 | 100.00% |
| Nahira vs Fahkumram | 2–1 | 66.67% |
| Nahira vs Armor King | 1–2 | 33.33% |
| Nahira vs Shaheen | 0–2 | 0.00% |
| Nahira 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.