| Nafay vs Eddy | 19–29 | 39.58% |
| Nafay vs Law | 21–16 | 56.76% |
| Nafay vs Jin | 19–18 | 51.35% |
| Nafay vs Jun | 21–16 | 56.76% |
| Nafay vs King | 20–16 | 55.56% |
| Nafay vs Kazuya | 17–10 | 62.96% |
| Nafay vs Hwoarang | 12–13 | 48.00% |
| Nafay vs Victor | 12–13 | 48.00% |
| Nafay vs Dragunov | 13–10 | 56.52% |
| Nafay vs Reina | 14–6 | 70.00% |
| Nafay vs Steve | 13–6 | 68.42% |
| Nafay vs Lars | 12–6 | 66.67% |
| Nafay vs Nina | 11–7 | 61.11% |
| Nafay vs Paul | 6–11 | 35.29% |
| Nafay vs Bryan | 8–8 | 50.00% |
| Nafay vs Zafina | 11–5 | 68.75% |
| Nafay vs Clive | 12–4 | 75.00% |
| Nafay vs Yoshimitsu | 10–5 | 66.67% |
| Nafay vs Lili | 8–7 | 53.33% |
| Nafay vs Lidia | 7–7 | 50.00% |
| Nafay vs Xiaoyu | 9–4 | 69.23% |
| Nafay vs Azucena | 8–5 | 61.54% |
| Nafay vs Asuka | 6–5 | 54.55% |
| Nafay vs Leo | 4–7 | 36.36% |
| Nafay vs Claudio | 5–5 | 50.00% |
| Nafay vs Heihachi | 6–4 | 60.00% |
| Nafay vs Jack-8 | 6–3 | 66.67% |
| Nafay vs Devil Jin | 4–4 | 50.00% |
| Nafay vs Feng | 4–4 | 50.00% |
| Nafay vs Alisa | 2–6 | 25.00% |
| Nafay vs Shaheen | 3–5 | 37.50% |
| Nafay vs Kuma | 2–5 | 28.57% |
| Nafay vs Raven | 6–1 | 85.71% |
| Nafay vs Lee | 4–2 | 66.67% |
| Nafay vs Fahkumram | 3–3 | 50.00% |
| Nafay vs Panda | 1–4 | 20.00% |
| Nafay vs Leroy | 0–2 | 0.00% |
| Nafay vs Anna | 0–2 | 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.