| Naifaaz vs King | 25–41 | 37.88% |
| Naifaaz vs Jin | 26–31 | 45.61% |
| Naifaaz vs Kazuya | 19–21 | 47.50% |
| Naifaaz vs Law | 16–20 | 44.44% |
| Naifaaz vs Bryan | 11–23 | 32.35% |
| Naifaaz vs Fahkumram | 12–18 | 40.00% |
| Naifaaz vs Steve | 16–12 | 57.14% |
| Naifaaz vs Dragunov | 13–13 | 50.00% |
| Naifaaz vs Victor | 16–9 | 64.00% |
| Naifaaz vs Devil Jin | 10–13 | 43.48% |
| Naifaaz vs Asuka | 8–12 | 40.00% |
| Naifaaz vs Eddy | 7–12 | 36.84% |
| Naifaaz vs Heihachi | 2–17 | 10.53% |
| Naifaaz vs Paul | 6–11 | 35.29% |
| Naifaaz vs Alisa | 7–10 | 41.18% |
| Naifaaz vs Lee | 8–9 | 47.06% |
| Naifaaz vs Yoshimitsu | 5–11 | 31.25% |
| Naifaaz vs Shaheen | 7–9 | 43.75% |
| Naifaaz vs Jun | 7–8 | 46.67% |
| Naifaaz vs Anna | 6–9 | 40.00% |
| Naifaaz vs Hwoarang | 4–7 | 36.36% |
| Naifaaz vs Jack-8 | 7–4 | 63.64% |
| Naifaaz vs Lili | 4–7 | 36.36% |
| Naifaaz vs Feng | 4–6 | 40.00% |
| Naifaaz vs Nina | 1–9 | 10.00% |
| Naifaaz vs Clive | 3–7 | 30.00% |
| Naifaaz vs Reina | 6–3 | 66.67% |
| Naifaaz vs Zafina | 5–3 | 62.50% |
| Naifaaz vs Raven | 5–3 | 62.50% |
| Naifaaz vs Lars | 5–2 | 71.43% |
| Naifaaz vs Kuma | 1–4 | 20.00% |
| Naifaaz vs Leo | 2–2 | 50.00% |
| Naifaaz vs Azucena | 2–2 | 50.00% |
| Naifaaz vs Xiaoyu | 1–2 | 33.33% |
| Naifaaz vs Leroy | 2–1 | 66.67% |
| Naifaaz vs Lidia | 1–2 | 33.33% |
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.