| DangAmir vs Kazuya | 16–28 | 36.36% |
| DangAmir vs Hwoarang | 22–21 | 51.16% |
| DangAmir vs Azucena | 25–12 | 67.57% |
| DangAmir vs Feng | 22–14 | 61.11% |
| DangAmir vs King | 8–27 | 22.86% |
| DangAmir vs Steve | 15–16 | 48.39% |
| DangAmir vs Dragunov | 12–18 | 40.00% |
| DangAmir vs Reina | 16–14 | 53.33% |
| DangAmir vs Eddy | 16–13 | 55.17% |
| DangAmir vs Bryan | 10–16 | 38.46% |
| DangAmir vs Jin | 10–15 | 40.00% |
| DangAmir vs Lili | 15–7 | 68.18% |
| DangAmir vs Lee | 13–8 | 61.90% |
| DangAmir vs Yoshimitsu | 7–13 | 35.00% |
| DangAmir vs Law | 12–7 | 63.16% |
| DangAmir vs Asuka | 11–7 | 61.11% |
| DangAmir vs Jun | 9–9 | 50.00% |
| DangAmir vs Victor | 10–6 | 62.50% |
| DangAmir vs Lars | 10–5 | 66.67% |
| DangAmir vs Leo | 9–4 | 69.23% |
| DangAmir vs Kuma | 10–3 | 76.92% |
| DangAmir vs Paul | 7–5 | 58.33% |
| DangAmir vs Xiaoyu | 7–5 | 58.33% |
| DangAmir vs Leroy | 6–6 | 50.00% |
| DangAmir vs Devil Jin | 7–4 | 63.64% |
| DangAmir vs Claudio | 4–7 | 36.36% |
| DangAmir vs Heihachi | 5–6 | 45.45% |
| DangAmir vs Nina | 7–3 | 70.00% |
| DangAmir vs Raven | 4–6 | 40.00% |
| DangAmir vs Lidia | 7–3 | 70.00% |
| DangAmir vs Alisa | 3–4 | 42.86% |
| DangAmir vs Zafina | 1–5 | 16.67% |
| DangAmir vs Clive | 4–2 | 66.67% |
| DangAmir vs Jack-8 | 3–2 | 60.00% |
| DangAmir vs Panda | 0–2 | 0.00% |
| DangAmir vs Shaheen | 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.