| amm0rich vs Kazuya | 42–53 | 44.21% |
| amm0rich vs Jin | 34–53 | 39.08% |
| amm0rich vs Bryan | 28–39 | 41.79% |
| amm0rich vs King | 26–32 | 44.83% |
| amm0rich vs Dragunov | 26–26 | 50.00% |
| amm0rich vs Reina | 17–33 | 34.00% |
| amm0rich vs Steve | 26–22 | 54.17% |
| amm0rich vs Hwoarang | 14–27 | 34.15% |
| amm0rich vs Law | 16–19 | 45.71% |
| amm0rich vs Nina | 9–21 | 30.00% |
| amm0rich vs Lee | 13–15 | 46.43% |
| amm0rich vs Devil Jin | 6–21 | 22.22% |
| amm0rich vs Lars | 12–14 | 46.15% |
| amm0rich vs Heihachi | 13–13 | 50.00% |
| amm0rich vs Yoshimitsu | 14–5 | 73.68% |
| amm0rich vs Asuka | 11–8 | 57.89% |
| amm0rich vs Victor | 6–11 | 35.29% |
| amm0rich vs Jun | 9–7 | 56.25% |
| amm0rich vs Eddy | 6–8 | 42.86% |
| amm0rich vs Leroy | 8–5 | 61.54% |
| amm0rich vs Paul | 3–9 | 25.00% |
| amm0rich vs Lili | 4–8 | 33.33% |
| amm0rich vs Feng | 1–10 | 9.09% |
| amm0rich vs Alisa | 5–6 | 45.45% |
| amm0rich vs Shaheen | 3–8 | 27.27% |
| amm0rich vs Azucena | 5–6 | 45.45% |
| amm0rich vs Raven | 3–8 | 27.27% |
| amm0rich vs Jack-8 | 2–5 | 28.57% |
| amm0rich vs Claudio | 4–3 | 57.14% |
| amm0rich vs Xiaoyu | 2–4 | 33.33% |
| amm0rich vs Leo | 2–4 | 33.33% |
| amm0rich vs Zafina | 0–4 | 0.00% |
| amm0rich vs Lidia | 4–0 | 100.00% |
| amm0rich vs Clive | 0–2 | 0.00% |
| amm0rich vs Kuma | 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.