| 250417헤이 시작 vs Asuka | 16–3 | 84.21% |
| 250417헤이 시작 vs Jin | 5–5 | 50.00% |
| 250417헤이 시작 vs Paul | 7–1 | 87.50% |
| 250417헤이 시작 vs Kazuya | 5–2 | 71.43% |
| 250417헤이 시작 vs Steve | 6–1 | 85.71% |
| 250417헤이 시작 vs Jack-8 | 5–2 | 71.43% |
| 250417헤이 시작 vs Lili | 3–4 | 42.86% |
| 250417헤이 시작 vs Kuma | 7–0 | 100.00% |
| 250417헤이 시작 vs Lidia | 6–1 | 85.71% |
| 250417헤이 시작 vs Clive | 5–2 | 71.43% |
| 250417헤이 시작 vs Bryan | 5–1 | 83.33% |
| 250417헤이 시작 vs Lee | 3–3 | 50.00% |
| 250417헤이 시작 vs Azucena | 2–4 | 33.33% |
| 250417헤이 시작 vs Reina | 5–0 | 100.00% |
| 250417헤이 시작 vs Law | 4–0 | 100.00% |
| 250417헤이 시작 vs Xiaoyu | 0–4 | 0.00% |
| 250417헤이 시작 vs Feng | 1–3 | 25.00% |
| 250417헤이 시작 vs Claudio | 4–0 | 100.00% |
| 250417헤이 시작 vs Leroy | 3–1 | 75.00% |
| 250417헤이 시작 vs Victor | 1–3 | 25.00% |
| 250417헤이 시작 vs Anna | 2–2 | 50.00% |
| 250417헤이 시작 vs King | 2–1 | 66.67% |
| 250417헤이 시작 vs Hwoarang | 1–2 | 33.33% |
| 250417헤이 시작 vs Dragunov | 3–0 | 100.00% |
| 250417헤이 시작 vs Leo | 2–1 | 66.67% |
| 250417헤이 시작 vs Alisa | 3–0 | 100.00% |
| 250417헤이 시작 vs Nina | 3–0 | 100.00% |
| 250417헤이 시작 vs Heihachi | 2–1 | 66.67% |
| 250417헤이 시작 vs Lars | 2–0 | 100.00% |
| 250417헤이 시작 vs Shaheen | 2–0 | 100.00% |
| 250417헤이 시작 vs Raven | 2–0 | 100.00% |
| 250417헤이 시작 vs Eddy | 2–0 | 100.00% |
| 250417헤이 시작 vs Yoshimitsu | 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.