| AsphaltEater vs Jin | 8–20 | 28.57% |
| AsphaltEater vs Kazuya | 7–18 | 28.00% |
| AsphaltEater vs King | 11–12 | 47.83% |
| AsphaltEater vs Clive | 9–11 | 45.00% |
| AsphaltEater vs Hwoarang | 10–9 | 52.63% |
| AsphaltEater vs Steve | 9–9 | 50.00% |
| AsphaltEater vs Reina | 6–8 | 42.86% |
| AsphaltEater vs Heihachi | 9–5 | 64.29% |
| AsphaltEater vs Lili | 9–4 | 69.23% |
| AsphaltEater vs Nina | 6–4 | 60.00% |
| AsphaltEater vs Azucena | 5–5 | 50.00% |
| AsphaltEater vs Victor | 7–3 | 70.00% |
| AsphaltEater vs Eddy | 1–9 | 10.00% |
| AsphaltEater vs Alisa | 5–4 | 55.56% |
| AsphaltEater vs Lidia | 5–4 | 55.56% |
| AsphaltEater vs Bryan | 3–5 | 37.50% |
| AsphaltEater vs Feng | 6–2 | 75.00% |
| AsphaltEater vs Paul | 3–4 | 42.86% |
| AsphaltEater vs Yoshimitsu | 5–2 | 71.43% |
| AsphaltEater vs Law | 5–1 | 83.33% |
| AsphaltEater vs Jun | 3–3 | 50.00% |
| AsphaltEater vs Jack-8 | 1–4 | 20.00% |
| AsphaltEater vs Dragunov | 3–2 | 60.00% |
| AsphaltEater vs Lars | 2–3 | 40.00% |
| AsphaltEater vs Lee | 2–2 | 50.00% |
| AsphaltEater vs Kuma | 2–2 | 50.00% |
| AsphaltEater vs Xiaoyu | 1–2 | 33.33% |
| AsphaltEater vs Leo | 2–1 | 66.67% |
| AsphaltEater vs Claudio | 2–1 | 66.67% |
| AsphaltEater vs Devil Jin | 2–0 | 100.00% |
| AsphaltEater vs Panda | 2–0 | 100.00% |
| AsphaltEater vs Raven | 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.