| SSDD|ELPERRILLO vs King | 34–28 | 54.84% |
| SSDD|ELPERRILLO vs Jin | 33–28 | 54.10% |
| SSDD|ELPERRILLO vs Kazuya | 15–20 | 42.86% |
| SSDD|ELPERRILLO vs Armor King | 8–25 | 24.24% |
| SSDD|ELPERRILLO vs Paul | 12–19 | 38.71% |
| SSDD|ELPERRILLO vs Law | 20–10 | 66.67% |
| SSDD|ELPERRILLO vs Steve | 24–6 | 80.00% |
| SSDD|ELPERRILLO vs Asuka | 12–17 | 41.38% |
| SSDD|ELPERRILLO vs Bryan | 8–20 | 28.57% |
| SSDD|ELPERRILLO vs Dragunov | 14–12 | 53.85% |
| SSDD|ELPERRILLO vs Reina | 14–10 | 58.33% |
| SSDD|ELPERRILLO vs Lili | 9–13 | 40.91% |
| SSDD|ELPERRILLO vs Azucena | 17–5 | 77.27% |
| SSDD|ELPERRILLO vs Heihachi | 8–14 | 36.36% |
| SSDD|ELPERRILLO vs Hwoarang | 10–8 | 55.56% |
| SSDD|ELPERRILLO vs Yoshimitsu | 10–7 | 58.82% |
| SSDD|ELPERRILLO vs Victor | 9–8 | 52.94% |
| SSDD|ELPERRILLO vs Nina | 5–11 | 31.25% |
| SSDD|ELPERRILLO vs Jun | 5–9 | 35.71% |
| SSDD|ELPERRILLO vs Eddy | 10–4 | 71.43% |
| SSDD|ELPERRILLO vs Clive | 5–8 | 38.46% |
| SSDD|ELPERRILLO vs Miary Zo | 6–6 | 50.00% |
| SSDD|ELPERRILLO vs Xiaoyu | 6–4 | 60.00% |
| SSDD|ELPERRILLO vs Lee | 4–6 | 40.00% |
| SSDD|ELPERRILLO vs Fahkumram | 4–5 | 44.44% |
| SSDD|ELPERRILLO vs Devil Jin | 3–4 | 42.86% |
| SSDD|ELPERRILLO vs Anna | 3–3 | 50.00% |
| SSDD|ELPERRILLO vs Leroy | 3–1 | 75.00% |
| SSDD|ELPERRILLO vs Feng | 1–2 | 33.33% |
| SSDD|ELPERRILLO vs Shaheen | 2–1 | 66.67% |
| SSDD|ELPERRILLO vs Lidia | 1–2 | 33.33% |
| SSDD|ELPERRILLO vs Lars | 0–2 | 0.00% |
| SSDD|ELPERRILLO vs Claudio | 2–0 | 100.00% |
| SSDD|ELPERRILLO vs Jack-8 | 0–1 | 0.00% |
| SSDD|ELPERRILLO vs Alisa | 0–1 | 0.00% |
| SSDD|ELPERRILLO vs Panda | 0–1 | 0.00% |
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.