| ya_sadiqi vs Jin | 8–21 | 27.59% |
| ya_sadiqi vs Steve | 6–16 | 27.27% |
| ya_sadiqi vs King | 4–17 | 19.05% |
| ya_sadiqi vs Hwoarang | 2–13 | 13.33% |
| ya_sadiqi vs Lili | 5–9 | 35.71% |
| ya_sadiqi vs Fahkumram | 7–7 | 50.00% |
| ya_sadiqi vs Lars | 6–6 | 50.00% |
| ya_sadiqi vs Law | 0–11 | 0.00% |
| ya_sadiqi vs Bryan | 2–9 | 18.18% |
| ya_sadiqi vs Jun | 1–10 | 9.09% |
| ya_sadiqi vs Reina | 2–9 | 18.18% |
| ya_sadiqi vs Kazuya | 3–7 | 30.00% |
| ya_sadiqi vs Azucena | 5–5 | 50.00% |
| ya_sadiqi vs Asuka | 1–8 | 11.11% |
| ya_sadiqi vs Claudio | 4–5 | 44.44% |
| ya_sadiqi vs Lee | 2–7 | 22.22% |
| ya_sadiqi vs Eddy | 0–9 | 0.00% |
| ya_sadiqi vs Dragunov | 0–7 | 0.00% |
| ya_sadiqi vs Leo | 4–2 | 66.67% |
| ya_sadiqi vs Nina | 0–6 | 0.00% |
| ya_sadiqi vs Xiaoyu | 2–3 | 40.00% |
| ya_sadiqi vs Feng | 0–5 | 0.00% |
| ya_sadiqi vs Clive | 0–5 | 0.00% |
| ya_sadiqi vs Yoshimitsu | 2–2 | 50.00% |
| ya_sadiqi vs Alisa | 0–4 | 0.00% |
| ya_sadiqi vs Devil Jin | 0–3 | 0.00% |
| ya_sadiqi vs Kuma | 0–3 | 0.00% |
| ya_sadiqi vs Zafina | 1–2 | 33.33% |
| ya_sadiqi vs Leroy | 1–2 | 33.33% |
| ya_sadiqi vs Heihachi | 0–3 | 0.00% |
| ya_sadiqi vs Anna | 0–3 | 0.00% |
| ya_sadiqi vs Jack-8 | 0–2 | 0.00% |
| ya_sadiqi vs Victor | 0–2 | 0.00% |
| ya_sadiqi vs Raven | 0–2 | 0.00% |
| ya_sadiqi vs Lidia | 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.