| 3연승하면 토익공부하러감 vs Paul | 16–8 | 66.67% |
| 3연승하면 토익공부하러감 vs Kazuya | 7–15 | 31.82% |
| 3연승하면 토익공부하러감 vs Hwoarang | 12–7 | 63.16% |
| 3연승하면 토익공부하러감 vs Reina | 11–7 | 61.11% |
| 3연승하면 토익공부하러감 vs Xiaoyu | 9–5 | 64.29% |
| 3연승하면 토익공부하러감 vs Dragunov | 9–5 | 64.29% |
| 3연승하면 토익공부하러감 vs Steve | 12–1 | 92.31% |
| 3연승하면 토익공부하러감 vs Jin | 6–6 | 50.00% |
| 3연승하면 토익공부하러감 vs Bryan | 9–3 | 75.00% |
| 3연승하면 토익공부하러감 vs Yoshimitsu | 6–5 | 54.55% |
| 3연승하면 토익공부하러감 vs Claudio | 3–8 | 27.27% |
| 3연승하면 토익공부하러감 vs Asuka | 5–5 | 50.00% |
| 3연승하면 토익공부하러감 vs Devil Jin | 2–6 | 25.00% |
| 3연승하면 토익공부하러감 vs Kuma | 4–3 | 57.14% |
| 3연승하면 토익공부하러감 vs Nina | 2–3 | 40.00% |
| 3연승하면 토익공부하러감 vs Law | 2–2 | 50.00% |
| 3연승하면 토익공부하러감 vs King | 2–2 | 50.00% |
| 3연승하면 토익공부하러감 vs Lili | 1–3 | 25.00% |
| 3연승하면 토익공부하러감 vs Leo | 2–2 | 50.00% |
| 3연승하면 토익공부하러감 vs Lee | 1–3 | 25.00% |
| 3연승하면 토익공부하러감 vs Jun | 2–1 | 66.67% |
| 3연승하면 토익공부하러감 vs Victor | 0–3 | 0.00% |
| 3연승하면 토익공부하러감 vs Eddy | 2–1 | 66.67% |
| 3연승하면 토익공부하러감 vs Heihachi | 1–2 | 33.33% |
| 3연승하면 토익공부하러감 vs Feng | 0–2 | 0.00% |
| 3연승하면 토익공부하러감 vs Shaheen | 0–2 | 0.00% |
| 3연승하면 토익공부하러감 vs Lars | 0–1 | 0.00% |
| 3연승하면 토익공부하러감 vs Raven | 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.