| Nafri vs King | 28–15 | 65.12% |
| Nafri vs Kazuya | 25–16 | 60.98% |
| Nafri vs Reina | 22–13 | 62.86% |
| Nafri vs Dragunov | 18–10 | 64.29% |
| Nafri vs Jin | 11–13 | 45.83% |
| Nafri vs Law | 14–9 | 60.87% |
| Nafri vs Yoshimitsu | 8–13 | 38.10% |
| Nafri vs Steve | 14–7 | 66.67% |
| Nafri vs Asuka | 17–4 | 80.95% |
| Nafri vs Heihachi | 12–9 | 57.14% |
| Nafri vs Azucena | 16–4 | 80.00% |
| Nafri vs Bryan | 11–7 | 61.11% |
| Nafri vs Lili | 7–8 | 46.67% |
| Nafri vs Devil Jin | 9–5 | 64.29% |
| Nafri vs Nina | 8–6 | 57.14% |
| Nafri vs Jun | 6–8 | 42.86% |
| Nafri vs Victor | 6–8 | 42.86% |
| Nafri vs Lee | 6–7 | 46.15% |
| Nafri vs Eddy | 8–5 | 61.54% |
| Nafri vs Lidia | 6–6 | 50.00% |
| Nafri vs Paul | 8–3 | 72.73% |
| Nafri vs Hwoarang | 8–3 | 72.73% |
| Nafri vs Feng | 9–2 | 81.82% |
| Nafri vs Miary Zo | 6–4 | 60.00% |
| Nafri vs Jack-8 | 6–3 | 66.67% |
| Nafri vs Fahkumram | 7–2 | 77.78% |
| Nafri vs Xiaoyu | 4–3 | 57.14% |
| Nafri vs Alisa | 2–3 | 40.00% |
| Nafri vs Claudio | 3–2 | 60.00% |
| Nafri vs Leroy | 3–2 | 60.00% |
| Nafri vs Clive | 4–1 | 80.00% |
| Nafri vs Lars | 1–2 | 33.33% |
| Nafri vs Zafina | 2–1 | 66.67% |
| Nafri vs Raven | 3–0 | 100.00% |
| Nafri vs Armor King | 2–1 | 66.67% |
| Nafri vs Leo | 2–0 | 100.00% |
| Nafri vs Shaheen | 2–0 | 100.00% |
| Nafri vs Anna | 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.