| AHMED_ALSAIF7 vs King | 19–25 | 43.18% |
| AHMED_ALSAIF7 vs Hwoarang | 17–24 | 41.46% |
| AHMED_ALSAIF7 vs Jin | 17–23 | 42.50% |
| AHMED_ALSAIF7 vs Kazuya | 19–16 | 54.29% |
| AHMED_ALSAIF7 vs Reina | 16–15 | 51.61% |
| AHMED_ALSAIF7 vs Law | 12–17 | 41.38% |
| AHMED_ALSAIF7 vs Dragunov | 11–12 | 47.83% |
| AHMED_ALSAIF7 vs Steve | 13–9 | 59.09% |
| AHMED_ALSAIF7 vs Victor | 8–14 | 36.36% |
| AHMED_ALSAIF7 vs Yoshimitsu | 10–11 | 47.62% |
| AHMED_ALSAIF7 vs Devil Jin | 9–12 | 42.86% |
| AHMED_ALSAIF7 vs Eddy | 9–9 | 50.00% |
| AHMED_ALSAIF7 vs Lili | 7–8 | 46.67% |
| AHMED_ALSAIF7 vs Lee | 5–10 | 33.33% |
| AHMED_ALSAIF7 vs Paul | 5–9 | 35.71% |
| AHMED_ALSAIF7 vs Bryan | 8–6 | 57.14% |
| AHMED_ALSAIF7 vs Claudio | 6–7 | 46.15% |
| AHMED_ALSAIF7 vs Nina | 5–8 | 38.46% |
| AHMED_ALSAIF7 vs Feng | 4–6 | 40.00% |
| AHMED_ALSAIF7 vs Lars | 3–7 | 30.00% |
| AHMED_ALSAIF7 vs Jack-8 | 4–4 | 50.00% |
| AHMED_ALSAIF7 vs Asuka | 2–4 | 33.33% |
| AHMED_ALSAIF7 vs Alisa | 2–4 | 33.33% |
| AHMED_ALSAIF7 vs Shaheen | 4–2 | 66.67% |
| AHMED_ALSAIF7 vs Jun | 4–2 | 66.67% |
| AHMED_ALSAIF7 vs Lidia | 2–2 | 50.00% |
| AHMED_ALSAIF7 vs Leo | 1–2 | 33.33% |
| AHMED_ALSAIF7 vs Zafina | 2–1 | 66.67% |
| AHMED_ALSAIF7 vs Azucena | 2–1 | 66.67% |
| AHMED_ALSAIF7 vs Xiaoyu | 0–2 | 0.00% |
| AHMED_ALSAIF7 vs Kuma | 1–1 | 50.00% |
| AHMED_ALSAIF7 vs Panda | 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.