| EviLMoOkeY vs King | 69–61 | 53.08% |
| EviLMoOkeY vs Jin | 40–55 | 42.11% |
| EviLMoOkeY vs Kazuya | 44–49 | 47.31% |
| EviLMoOkeY vs Lars | 21–45 | 31.82% |
| EviLMoOkeY vs Steve | 26–35 | 42.62% |
| EviLMoOkeY vs Law | 36–22 | 62.07% |
| EviLMoOkeY vs Yoshimitsu | 31–22 | 58.49% |
| EviLMoOkeY vs Paul | 19–33 | 36.54% |
| EviLMoOkeY vs Hwoarang | 21–30 | 41.18% |
| EviLMoOkeY vs Dragunov | 22–27 | 44.90% |
| EviLMoOkeY vs Eddy | 17–32 | 34.69% |
| EviLMoOkeY vs Heihachi | 16–32 | 33.33% |
| EviLMoOkeY vs Bryan | 23–24 | 48.94% |
| EviLMoOkeY vs Lili | 22–22 | 50.00% |
| EviLMoOkeY vs Azucena | 22–19 | 53.66% |
| EviLMoOkeY vs Xiaoyu | 19–21 | 47.50% |
| EviLMoOkeY vs Jun | 22–17 | 56.41% |
| EviLMoOkeY vs Reina | 16–22 | 42.11% |
| EviLMoOkeY vs Asuka | 14–22 | 38.89% |
| EviLMoOkeY vs Victor | 16–20 | 44.44% |
| EviLMoOkeY vs Lee | 20–13 | 60.61% |
| EviLMoOkeY vs Armor King | 11–22 | 33.33% |
| EviLMoOkeY vs Nina | 17–13 | 56.67% |
| EviLMoOkeY vs Lidia | 14–15 | 48.28% |
| EviLMoOkeY vs Leroy | 9–17 | 34.62% |
| EviLMoOkeY vs Miary Zo | 10–14 | 41.67% |
| EviLMoOkeY vs Feng | 8–15 | 34.78% |
| EviLMoOkeY vs Alisa | 13–8 | 61.90% |
| EviLMoOkeY vs Devil Jin | 11–9 | 55.00% |
| EviLMoOkeY vs Leo | 12–7 | 63.16% |
| EviLMoOkeY vs Kuma | 7–12 | 36.84% |
| EviLMoOkeY vs Raven | 10–8 | 55.56% |
| EviLMoOkeY vs Jack-8 | 6–11 | 35.29% |
| EviLMoOkeY vs Clive | 11–3 | 78.57% |
| EviLMoOkeY vs Claudio | 7–6 | 53.85% |
| EviLMoOkeY vs Shaheen | 6–4 | 60.00% |
| EviLMoOkeY vs Zafina | 6–4 | 60.00% |
| EviLMoOkeY vs Fahkumram | 3–5 | 37.50% |
| EviLMoOkeY vs Anna | 3–3 | 50.00% |
| EviLMoOkeY vs Panda | 1–4 | 20.00% |
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.