| EVOLV vs King | 43–29 | 59.72% |
| EVOLV vs Jin | 19–33 | 36.54% |
| EVOLV vs Kazuya | 36–15 | 70.59% |
| EVOLV vs Steve | 26–19 | 57.78% |
| EVOLV vs Law | 24–14 | 63.16% |
| EVOLV vs Paul | 16–13 | 55.17% |
| EVOLV vs Yoshimitsu | 15–12 | 55.56% |
| EVOLV vs Bryan | 8–13 | 38.10% |
| EVOLV vs Clive | 5–14 | 26.32% |
| EVOLV vs Anna | 6–13 | 31.58% |
| EVOLV vs Nina | 12–5 | 70.59% |
| EVOLV vs Dragunov | 8–8 | 50.00% |
| EVOLV vs Asuka | 8–6 | 57.14% |
| EVOLV vs Armor King | 8–6 | 57.14% |
| EVOLV vs Eddy | 4–9 | 30.77% |
| EVOLV vs Hwoarang | 10–1 | 90.91% |
| EVOLV vs Xiaoyu | 6–4 | 60.00% |
| EVOLV vs Lili | 6–3 | 66.67% |
| EVOLV vs Fahkumram | 5–4 | 55.56% |
| EVOLV vs Jack-8 | 6–2 | 75.00% |
| EVOLV vs Devil Jin | 5–3 | 62.50% |
| EVOLV vs Feng | 4–4 | 50.00% |
| EVOLV vs Reina | 5–3 | 62.50% |
| EVOLV vs Heihachi | 6–2 | 75.00% |
| EVOLV vs Azucena | 4–2 | 66.67% |
| EVOLV vs Lidia | 3–3 | 50.00% |
| EVOLV vs Lars | 1–4 | 20.00% |
| EVOLV vs Claudio | 3–1 | 75.00% |
| EVOLV vs Leroy | 1–3 | 25.00% |
| EVOLV vs Jun | 2–2 | 50.00% |
| EVOLV vs Alisa | 1–2 | 33.33% |
| EVOLV vs Shaheen | 1–2 | 33.33% |
| EVOLV vs Leo | 2–0 | 100.00% |
| EVOLV vs Panda | 0–2 | 0.00% |
| EVOLV vs Zafina | 2–0 | 100.00% |
| EVOLV vs Victor | 0–2 | 0.00% |
| EVOLV vs Raven | 0–2 | 0.00% |
| EVOLV vs Kuma | 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.