| Amarantine vs Heihachi | 54–32 | 62.79% |
| Amarantine vs Jin | 39–44 | 46.99% |
| Amarantine vs Hwoarang | 25–21 | 54.35% |
| Amarantine vs Devil Jin | 27–13 | 67.50% |
| Amarantine vs Eddy | 21–19 | 52.50% |
| Amarantine vs Reina | 22–17 | 56.41% |
| Amarantine vs Bryan | 22–15 | 59.46% |
| Amarantine vs Kazuya | 15–21 | 41.67% |
| Amarantine vs Lili | 19–17 | 52.78% |
| Amarantine vs Law | 20–13 | 60.61% |
| Amarantine vs King | 22–10 | 68.75% |
| Amarantine vs Lee | 13–16 | 44.83% |
| Amarantine vs Dragunov | 17–11 | 60.71% |
| Amarantine vs Lars | 15–10 | 60.00% |
| Amarantine vs Paul | 13–10 | 56.52% |
| Amarantine vs Yoshimitsu | 15–7 | 68.18% |
| Amarantine vs Steve | 13–9 | 59.09% |
| Amarantine vs Azucena | 12–9 | 57.14% |
| Amarantine vs Feng | 9–10 | 47.37% |
| Amarantine vs Jun | 9–9 | 50.00% |
| Amarantine vs Victor | 11–7 | 61.11% |
| Amarantine vs Nina | 9–8 | 52.94% |
| Amarantine vs Asuka | 11–5 | 68.75% |
| Amarantine vs Leroy | 5–11 | 31.25% |
| Amarantine vs Fahkumram | 8–7 | 53.33% |
| Amarantine vs Xiaoyu | 8–6 | 57.14% |
| Amarantine vs Shaheen | 5–8 | 38.46% |
| Amarantine vs Lidia | 8–5 | 61.54% |
| Amarantine vs Leo | 6–6 | 50.00% |
| Amarantine vs Claudio | 5–5 | 50.00% |
| Amarantine vs Kuma | 5–4 | 55.56% |
| Amarantine vs Raven | 2–6 | 25.00% |
| Amarantine vs Alisa | 4–3 | 57.14% |
| Amarantine vs Jack-8 | 1–4 | 20.00% |
| Amarantine vs Zafina | 3–2 | 60.00% |
| Amarantine vs Panda | 3–1 | 75.00% |
| Amarantine vs Anna | 1–2 | 33.33% |
| Amarantine vs Clive | 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.