| sanad vs Jin | 42–37 | 53.16% |
| sanad vs Steve | 41–38 | 51.90% |
| sanad vs Kazuya | 33–37 | 47.14% |
| sanad vs King | 15–45 | 25.00% |
| sanad vs Dragunov | 20–26 | 43.48% |
| sanad vs Bryan | 14–27 | 34.15% |
| sanad vs Reina | 21–16 | 56.76% |
| sanad vs Hwoarang | 9–22 | 29.03% |
| sanad vs Law | 9–21 | 30.00% |
| sanad vs Clive | 9–20 | 31.03% |
| sanad vs Yoshimitsu | 15–13 | 53.57% |
| sanad vs Nina | 13–14 | 48.15% |
| sanad vs Jun | 12–14 | 46.15% |
| sanad vs Victor | 11–14 | 44.00% |
| sanad vs Lee | 8–14 | 36.36% |
| sanad vs Asuka | 5–12 | 29.41% |
| sanad vs Azucena | 7–10 | 41.18% |
| sanad vs Feng | 9–7 | 56.25% |
| sanad vs Lars | 5–11 | 31.25% |
| sanad vs Anna | 12–3 | 80.00% |
| sanad vs Eddy | 4–10 | 28.57% |
| sanad vs Paul | 3–10 | 23.08% |
| sanad vs Heihachi | 8–5 | 61.54% |
| sanad vs Shaheen | 5–5 | 50.00% |
| sanad vs Devil Jin | 5–4 | 55.56% |
| sanad vs Lidia | 3–6 | 33.33% |
| sanad vs Xiaoyu | 2–6 | 25.00% |
| sanad vs Alisa | 4–4 | 50.00% |
| sanad vs Zafina | 5–3 | 62.50% |
| sanad vs Lili | 4–3 | 57.14% |
| sanad vs Claudio | 4–3 | 57.14% |
| sanad vs Kuma | 3–4 | 42.86% |
| sanad vs Leo | 2–4 | 33.33% |
| sanad vs Panda | 4–0 | 100.00% |
| sanad vs Leroy | 2–2 | 50.00% |
| sanad vs Raven | 2–2 | 50.00% |
| sanad vs Jack-8 | 2–1 | 66.67% |
| sanad vs Armor King | 1–1 | 50.00% |
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.