| turn my swag on vs Reina | 13–12 | 52.00% |
| turn my swag on vs King | 3–10 | 23.08% |
| turn my swag on vs Heihachi | 9–4 | 69.23% |
| turn my swag on vs Hwoarang | 2–7 | 22.22% |
| turn my swag on vs Steve | 5–3 | 62.50% |
| turn my swag on vs Victor | 4–4 | 50.00% |
| turn my swag on vs Jun | 3–4 | 42.86% |
| turn my swag on vs Asuka | 4–2 | 66.67% |
| turn my swag on vs Dragunov | 4–2 | 66.67% |
| turn my swag on vs Alisa | 1–4 | 20.00% |
| turn my swag on vs Lee | 4–1 | 80.00% |
| turn my swag on vs Paul | 0–4 | 0.00% |
| turn my swag on vs Law | 2–2 | 50.00% |
| turn my swag on vs Yoshimitsu | 4–0 | 100.00% |
| turn my swag on vs Kazuya | 4–0 | 100.00% |
| turn my swag on vs Leroy | 0–4 | 0.00% |
| turn my swag on vs Raven | 4–0 | 100.00% |
| turn my swag on vs Lidia | 4–0 | 100.00% |
| turn my swag on vs Jin | 3–0 | 100.00% |
| turn my swag on vs Bryan | 1–2 | 33.33% |
| turn my swag on vs Devil Jin | 1–2 | 33.33% |
| turn my swag on vs Lili | 1–2 | 33.33% |
| turn my swag on vs Leo | 2–1 | 66.67% |
| turn my swag on vs Claudio | 2–1 | 66.67% |
| turn my swag on vs Lars | 0–2 | 0.00% |
| turn my swag on vs Nina | 2–0 | 100.00% |
| turn my swag on vs Azucena | 1–1 | 50.00% |
| turn my swag on vs Xiaoyu | 1–0 | 100.00% |
| turn my swag on vs Feng | 1–0 | 100.00% |
| turn my swag on vs Eddy | 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.