| CS | AMIR vs Claudio | 46–52 | 46.94% |
| CS | AMIR vs Dragunov | 53–40 | 56.99% |
| CS | AMIR vs Jin | 55–34 | 61.80% |
| CS | AMIR vs Kazuya | 54–34 | 61.36% |
| CS | AMIR vs Alisa | 51–32 | 61.45% |
| CS | AMIR vs King | 52–30 | 63.41% |
| CS | AMIR vs Law | 45–22 | 67.16% |
| CS | AMIR vs Bryan | 40–27 | 59.70% |
| CS | AMIR vs Reina | 37–21 | 63.79% |
| CS | AMIR vs Yoshimitsu | 34–17 | 66.67% |
| CS | AMIR vs Feng | 32–19 | 62.75% |
| CS | AMIR vs Lee | 26–23 | 53.06% |
| CS | AMIR vs Lars | 23–24 | 48.94% |
| CS | AMIR vs Paul | 19–26 | 42.22% |
| CS | AMIR vs Lili | 20–23 | 46.51% |
| CS | AMIR vs Hwoarang | 17–25 | 40.48% |
| CS | AMIR vs Steve | 19–20 | 48.72% |
| CS | AMIR vs Jack-8 | 21–18 | 53.85% |
| CS | AMIR vs Heihachi | 23–16 | 58.97% |
| CS | AMIR vs Azucena | 16–15 | 51.61% |
| CS | AMIR vs Devil Jin | 13–16 | 44.83% |
| CS | AMIR vs Clive | 16–13 | 55.17% |
| CS | AMIR vs Victor | 12–15 | 44.44% |
| CS | AMIR vs Zafina | 9–17 | 34.62% |
| CS | AMIR vs Jun | 11–15 | 42.31% |
| CS | AMIR vs Asuka | 14–11 | 56.00% |
| CS | AMIR vs Fahkumram | 11–14 | 44.00% |
| CS | AMIR vs Armor King | 12–12 | 50.00% |
| CS | AMIR vs Raven | 10–10 | 50.00% |
| CS | AMIR vs Leo | 10–8 | 55.56% |
| CS | AMIR vs Nina | 10–8 | 55.56% |
| CS | AMIR vs Leroy | 8–10 | 44.44% |
| CS | AMIR vs Eddy | 9–8 | 52.94% |
| CS | AMIR vs Panda | 6–7 | 46.15% |
| CS | AMIR vs Lidia | 6–6 | 50.00% |
| CS | AMIR vs Xiaoyu | 8–3 | 72.73% |
| CS | AMIR vs Kuma | 7–4 | 63.64% |
| CS | AMIR vs Shaheen | 4–2 | 66.67% |
| CS | AMIR vs Anna | 2–2 | 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.