| qamar vs Hwoarang | 19–18 | 51.35% |
| qamar vs Dragunov | 21–14 | 60.00% |
| qamar vs Miary Zo | 17–15 | 53.12% |
| qamar vs Bryan | 18–12 | 60.00% |
| qamar vs Law | 19–10 | 65.52% |
| qamar vs King | 15–13 | 53.57% |
| qamar vs Paul | 17–7 | 70.83% |
| qamar vs Armor King | 12–12 | 50.00% |
| qamar vs Jin | 19–4 | 82.61% |
| qamar vs Anna | 16–7 | 69.57% |
| qamar vs Kazuya | 14–8 | 63.64% |
| qamar vs Devil Jin | 10–11 | 47.62% |
| qamar vs Claudio | 13–7 | 65.00% |
| qamar vs Fahkumram | 12–7 | 63.16% |
| qamar vs Reina | 10–8 | 55.56% |
| qamar vs Heihachi | 11–7 | 61.11% |
| qamar vs Steve | 11–6 | 64.71% |
| qamar vs Feng | 3–11 | 21.43% |
| qamar vs Lili | 6–6 | 50.00% |
| qamar vs Nina | 8–3 | 72.73% |
| qamar vs Lee | 5–5 | 50.00% |
| qamar vs Yoshimitsu | 5–3 | 62.50% |
| qamar vs Xiaoyu | 4–4 | 50.00% |
| qamar vs Lars | 3–5 | 37.50% |
| qamar vs Clive | 3–5 | 37.50% |
| qamar vs Leo | 5–2 | 71.43% |
| qamar vs Leroy | 2–5 | 28.57% |
| qamar vs Victor | 6–1 | 85.71% |
| qamar vs Eddy | 4–3 | 57.14% |
| qamar vs Asuka | 3–2 | 60.00% |
| qamar vs Jun | 4–1 | 80.00% |
| qamar vs Alisa | 3–1 | 75.00% |
| qamar vs Kuma | 3–0 | 100.00% |
| qamar vs Azucena | 2–1 | 66.67% |
| qamar vs Lidia | 1–2 | 33.33% |
| qamar vs Jack-8 | 2–0 | 100.00% |
| qamar vs Zafina | 1–0 | 100.00% |
| qamar vs Raven | 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.