| Aqib vs Jin | 127–101 | 55.70% |
| Aqib vs Kazuya | 102–121 | 45.74% |
| Aqib vs Bryan | 64–76 | 45.71% |
| Aqib vs King | 57–78 | 42.22% |
| Aqib vs Hwoarang | 43–76 | 36.13% |
| Aqib vs Heihachi | 45–73 | 38.14% |
| Aqib vs Reina | 62–53 | 53.91% |
| Aqib vs Dragunov | 51–56 | 47.66% |
| Aqib vs Yoshimitsu | 43–60 | 41.75% |
| Aqib vs Law | 34–67 | 33.66% |
| Aqib vs Lili | 44–54 | 44.90% |
| Aqib vs Steve | 40–57 | 41.24% |
| Aqib vs Paul | 36–56 | 39.13% |
| Aqib vs Feng | 46–42 | 52.27% |
| Aqib vs Lee | 34–37 | 47.89% |
| Aqib vs Devil Jin | 31–39 | 44.29% |
| Aqib vs Azucena | 29–41 | 41.43% |
| Aqib vs Victor | 30–36 | 45.45% |
| Aqib vs Jun | 23–39 | 37.10% |
| Aqib vs Xiaoyu | 30–26 | 53.57% |
| Aqib vs Asuka | 29–25 | 53.70% |
| Aqib vs Lars | 28–24 | 53.85% |
| Aqib vs Alisa | 17–32 | 34.69% |
| Aqib vs Nina | 23–25 | 47.92% |
| Aqib vs Jack-8 | 19–22 | 46.34% |
| Aqib vs Eddy | 19–21 | 47.50% |
| Aqib vs Raven | 20–15 | 57.14% |
| Aqib vs Lidia | 14–18 | 43.75% |
| Aqib vs Claudio | 16–14 | 53.33% |
| Aqib vs Clive | 13–16 | 44.83% |
| Aqib vs Leo | 11–14 | 44.00% |
| Aqib vs Shaheen | 11–13 | 45.83% |
| Aqib vs Leroy | 17–4 | 80.95% |
| Aqib vs Zafina | 10–7 | 58.82% |
| Aqib vs Kuma | 9–4 | 69.23% |
| Aqib vs Panda | 4–2 | 66.67% |
| Aqib 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.