| Nhafy vs Bryan | 27–16 | 62.79% |
| Nhafy vs Jin | 18–20 | 47.37% |
| Nhafy vs Kazuya | 21–14 | 60.00% |
| Nhafy vs King | 15–17 | 46.88% |
| Nhafy vs Reina | 10–18 | 35.71% |
| Nhafy vs Law | 13–13 | 50.00% |
| Nhafy vs Heihachi | 8–15 | 34.78% |
| Nhafy vs Steve | 11–11 | 50.00% |
| Nhafy vs Lidia | 11–8 | 57.89% |
| Nhafy vs Hwoarang | 8–10 | 44.44% |
| Nhafy vs Nina | 9–8 | 52.94% |
| Nhafy vs Paul | 6–9 | 40.00% |
| Nhafy vs Asuka | 4–11 | 26.67% |
| Nhafy vs Jun | 8–7 | 53.33% |
| Nhafy vs Yoshimitsu | 7–7 | 50.00% |
| Nhafy vs Lili | 7–6 | 53.85% |
| Nhafy vs Armor King | 7–6 | 53.85% |
| Nhafy vs Dragunov | 6–6 | 50.00% |
| Nhafy vs Eddy | 7–5 | 58.33% |
| Nhafy vs Fahkumram | 10–2 | 83.33% |
| Nhafy vs Leo | 6–3 | 66.67% |
| Nhafy vs Devil Jin | 5–3 | 62.50% |
| Nhafy vs Lee | 5–2 | 71.43% |
| Nhafy vs Xiaoyu | 5–1 | 83.33% |
| Nhafy vs Victor | 4–2 | 66.67% |
| Nhafy vs Zafina | 3–2 | 60.00% |
| Nhafy vs Azucena | 3–2 | 60.00% |
| Nhafy vs Clive | 2–3 | 40.00% |
| Nhafy vs Lars | 1–3 | 25.00% |
| Nhafy vs Alisa | 2–2 | 50.00% |
| Nhafy vs Claudio | 2–1 | 66.67% |
| Nhafy vs Kuma | 1–2 | 33.33% |
| Nhafy vs Raven | 1–2 | 33.33% |
| Nhafy vs Miary Zo | 1–2 | 33.33% |
| Nhafy vs Feng | 2–0 | 100.00% |
| Nhafy vs Jack-8 | 0–1 | 0.00% |
| Nhafy vs Leroy | 1–0 | 100.00% |
| Nhafy vs Anna | 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.