| Skilla vs Steve | 31–12 | 72.09% |
| Skilla vs Kazuya | 12–25 | 32.43% |
| Skilla vs Reina | 30–6 | 83.33% |
| Skilla vs King | 14–17 | 45.16% |
| Skilla vs Hwoarang | 19–11 | 63.33% |
| Skilla vs Clive | 15–15 | 50.00% |
| Skilla vs Jin | 15–11 | 57.69% |
| Skilla vs Eddy | 13–12 | 52.00% |
| Skilla vs Law | 8–15 | 34.78% |
| Skilla vs Victor | 9–13 | 40.91% |
| Skilla vs Jack-8 | 8–12 | 40.00% |
| Skilla vs Lili | 13–7 | 65.00% |
| Skilla vs Jun | 8–12 | 40.00% |
| Skilla vs Alisa | 7–9 | 43.75% |
| Skilla vs Paul | 6–9 | 40.00% |
| Skilla vs Xiaoyu | 12–3 | 80.00% |
| Skilla vs Yoshimitsu | 4–10 | 28.57% |
| Skilla vs Kuma | 7–7 | 50.00% |
| Skilla vs Heihachi | 9–5 | 64.29% |
| Skilla vs Leo | 6–6 | 50.00% |
| Skilla vs Bryan | 4–6 | 40.00% |
| Skilla vs Dragunov | 6–4 | 60.00% |
| Skilla vs Devil Jin | 5–4 | 55.56% |
| Skilla vs Feng | 2–6 | 25.00% |
| Skilla vs Leroy | 7–1 | 87.50% |
| Skilla vs Raven | 3–4 | 42.86% |
| Skilla vs Lars | 3–3 | 50.00% |
| Skilla vs Panda | 2–4 | 33.33% |
| Skilla vs Azucena | 1–5 | 16.67% |
| Skilla vs Asuka | 3–2 | 60.00% |
| Skilla vs Zafina | 3–2 | 60.00% |
| Skilla vs Nina | 2–2 | 50.00% |
| Skilla vs Lee | 1–3 | 25.00% |
| Skilla vs Anna | 2–2 | 50.00% |
| Skilla vs Shaheen | 3–0 | 100.00% |
| Skilla vs Lidia | 1–2 | 33.33% |
| Skilla vs Armor King | 2–1 | 66.67% |
| Skilla vs Claudio | 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.