| scaskey vs Eddy | 37–16 | 69.81% |
| scaskey vs Hwoarang | 31–21 | 59.62% |
| scaskey vs Jin | 15–20 | 42.86% |
| scaskey vs Lili | 13–17 | 43.33% |
| scaskey vs King | 19–7 | 73.08% |
| scaskey vs Law | 14–11 | 56.00% |
| scaskey vs Steve | 17–7 | 70.83% |
| scaskey vs Reina | 17–7 | 70.83% |
| scaskey vs Paul | 14–8 | 63.64% |
| scaskey vs Dragunov | 13–9 | 59.09% |
| scaskey vs Lars | 15–7 | 68.18% |
| scaskey vs Bryan | 13–7 | 65.00% |
| scaskey vs Yoshimitsu | 7–11 | 38.89% |
| scaskey vs Kazuya | 16–1 | 94.12% |
| scaskey vs Devil Jin | 10–6 | 62.50% |
| scaskey vs Azucena | 13–1 | 92.86% |
| scaskey vs Jack-8 | 5–8 | 38.46% |
| scaskey vs Asuka | 7–5 | 58.33% |
| scaskey vs Nina | 7–5 | 58.33% |
| scaskey vs Jun | 7–3 | 70.00% |
| scaskey vs Xiaoyu | 7–2 | 77.78% |
| scaskey vs Feng | 7–2 | 77.78% |
| scaskey vs Claudio | 5–4 | 55.56% |
| scaskey vs Raven | 7–2 | 77.78% |
| scaskey vs Alisa | 4–4 | 50.00% |
| scaskey vs Lee | 3–5 | 37.50% |
| scaskey vs Zafina | 8–0 | 100.00% |
| scaskey vs Victor | 3–5 | 37.50% |
| scaskey vs Heihachi | 2–6 | 25.00% |
| scaskey vs Leroy | 3–4 | 42.86% |
| scaskey vs Kuma | 2–4 | 33.33% |
| scaskey vs Leo | 3–1 | 75.00% |
| scaskey vs Armor King | 4–0 | 100.00% |
| scaskey vs Shaheen | 2–0 | 100.00% |
| scaskey vs Panda | 0–1 | 0.00% |
| scaskey vs Clive | 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.