| Eva.velour vs King | 3–5 | 37.50% |
| Eva.velour vs Jin | 2–5 | 28.57% |
| Eva.velour vs Steve | 6–1 | 85.71% |
| Eva.velour vs Alisa | 5–1 | 83.33% |
| Eva.velour vs Lidia | 2–4 | 33.33% |
| Eva.velour vs Law | 1–4 | 20.00% |
| Eva.velour vs Hwoarang | 1–3 | 25.00% |
| Eva.velour vs Kazuya | 0–4 | 0.00% |
| Eva.velour vs Lili | 3–1 | 75.00% |
| Eva.velour vs Dragunov | 2–2 | 50.00% |
| Eva.velour vs Leo | 4–0 | 100.00% |
| Eva.velour vs Xiaoyu | 2–1 | 66.67% |
| Eva.velour vs Feng | 0–3 | 0.00% |
| Eva.velour vs Leroy | 1–2 | 33.33% |
| Eva.velour vs Azucena | 2–1 | 66.67% |
| Eva.velour vs Lars | 2–0 | 100.00% |
| Eva.velour vs Nina | 1–1 | 50.00% |
| Eva.velour vs Zafina | 0–2 | 0.00% |
| Eva.velour vs Victor | 0–2 | 0.00% |
| Eva.velour vs Eddy | 2–0 | 100.00% |
| Eva.velour vs Yoshimitsu | 0–1 | 0.00% |
| Eva.velour vs Jun | 0–1 | 0.00% |
| Eva.velour vs Reina | 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.