| Amoroso vs Kazuya | 20–11–1 | 64.52% |
| Amoroso vs Jin | 18–10 | 64.29% |
| Amoroso vs Armor King | 15–11 | 57.69% |
| Amoroso vs Steve | 10–12 | 45.45% |
| Amoroso vs Dragunov | 9–13 | 40.91% |
| Amoroso vs Bryan | 14–6 | 70.00% |
| Amoroso vs Law | 9–8 | 52.94% |
| Amoroso vs Hwoarang | 8–8 | 50.00% |
| Amoroso vs King | 10–5 | 66.67% |
| Amoroso vs Lili | 10–5 | 66.67% |
| Amoroso vs Miary Zo | 7–6 | 53.85% |
| Amoroso vs Zafina | 5–7 | 41.67% |
| Amoroso vs Heihachi | 4–7 | 36.36% |
| Amoroso vs Yoshimitsu | 4–5 | 44.44% |
| Amoroso vs Jun | 6–2 | 75.00% |
| Amoroso vs Victor | 8–0 | 100.00% |
| Amoroso vs Paul | 3–4 | 42.86% |
| Amoroso vs Asuka | 3–4 | 42.86% |
| Amoroso vs Fahkumram | 6–1 | 85.71% |
| Amoroso vs Leo | 4–2 | 66.67% |
| Amoroso vs Lee | 4–2 | 66.67% |
| Amoroso vs Reina | 6–0 | 100.00% |
| Amoroso vs Xiaoyu | 4–1 | 80.00% |
| Amoroso vs Shaheen | 2–3 | 40.00% |
| Amoroso vs Feng | 2–2 | 50.00% |
| Amoroso vs Clive | 2–1 | 66.67% |
| Amoroso vs Devil Jin | 0–2 | 0.00% |
| Amoroso vs Kuma | 1–1 | 50.00% |
| Amoroso vs Panda | 2–0 | 100.00% |
| Amoroso vs Leroy | 2–0 | 100.00% |
| Amoroso vs Eddy | 2–0 | 100.00% |
| Amoroso vs Lidia | 2–0 | 100.00% |
| Amoroso vs Lars | 0–1 | 0.00% |
| Amoroso vs Alisa | 1–0 | 100.00% |
| Amoroso vs Raven | 0–1 | 0.00% |
| Amoroso vs Anna | 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.