| cushionking vs Eddy | 1–14 | 6.67% |
| cushionking vs Victor | 6–7 | 46.15% |
| cushionking vs Jin | 3–4 | 42.86% |
| cushionking vs Azucena | 4–1 | 80.00% |
| cushionking vs Law | 2–3 | 40.00% |
| cushionking vs Lars | 3–2 | 60.00% |
| cushionking vs Jun | 4–1 | 80.00% |
| cushionking vs King | 2–2 | 50.00% |
| cushionking vs Asuka | 4–0 | 100.00% |
| cushionking vs Kazuya | 3–1 | 75.00% |
| cushionking vs Hwoarang | 2–1 | 66.67% |
| cushionking vs Steve | 2–1 | 66.67% |
| cushionking vs Dragunov | 0–3 | 0.00% |
| cushionking vs Leo | 2–1 | 66.67% |
| cushionking vs Devil Jin | 0–2 | 0.00% |
| cushionking vs Feng | 2–0 | 100.00% |
| cushionking vs Lili | 2–0 | 100.00% |
| cushionking vs Zafina | 0–2 | 0.00% |
| cushionking vs Raven | 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.