Name history
| ㄱㄴㄷㄴ | |
| 솔직히브징징은아니고약한게맞지 | |
| 어떻게사람이30연패박고강등 | |
| 나를의자에서풀어다오파랑단들 | |
| 도살브발문 | |
| 앉으면처맞음 | |
| 부산광안리횟집나무젓가락도둑 | |
| 도발브살문 | |
| 퀵훅싸개 | |
| 사상 최강의 분탕 | |
| 얘는 똥캐가 맞다 | |
| 최강은 역시 마황 | |
| ㅈ망겜수준 | |
| no약자석이니 나가라 애송이 |
| ㄱㄴㄷㄴ vs Kazuya | 129–115 | 52.87% |
| ㄱㄴㄷㄴ vs Paul | 74–108 | 40.66% |
| ㄱㄴㄷㄴ vs Reina | 79–77 | 50.64% |
| ㄱㄴㄷㄴ vs Dragunov | 60–85 | 41.38% |
| ㄱㄴㄷㄴ vs Hwoarang | 52–89 | 36.88% |
| ㄱㄴㄷㄴ vs Jin | 53–81 | 39.55% |
| ㄱㄴㄷㄴ vs Bryan | 55–79 | 41.04% |
| ㄱㄴㄷㄴ vs King | 66–63 | 51.16% |
| ㄱㄴㄷㄴ vs Lili | 37–70 | 34.58% |
| ㄱㄴㄷㄴ vs Law | 41–60 | 40.59% |
| ㄱㄴㄷㄴ vs Victor | 39–57 | 40.62% |
| ㄱㄴㄷㄴ vs Devil Jin | 39–52 | 42.86% |
| ㄱㄴㄷㄴ vs Steve | 34–54 | 38.64% |
| ㄱㄴㄷㄴ vs Asuka | 37–45 | 45.12% |
| ㄱㄴㄷㄴ vs Lidia | 39–42 | 48.15% |
| ㄱㄴㄷㄴ vs Jun | 30–49 | 37.97% |
| ㄱㄴㄷㄴ vs Xiaoyu | 35–39 | 47.30% |
| ㄱㄴㄷㄴ vs Azucena | 33–39 | 45.83% |
| ㄱㄴㄷㄴ vs Claudio | 38–33 | 53.52% |
| ㄱㄴㄷㄴ vs Lee | 30–34 | 46.88% |
| ㄱㄴㄷㄴ vs Nina | 29–32 | 47.54% |
| ㄱㄴㄷㄴ vs Yoshimitsu | 25–30–1 | 45.45% |
| ㄱㄴㄷㄴ vs Alisa | 25–30 | 45.45% |
| ㄱㄴㄷㄴ vs Heihachi | 18–33 | 35.29% |
| ㄱㄴㄷㄴ vs Jack-8 | 15–34 | 30.61% |
| ㄱㄴㄷㄴ vs Feng | 16–31 | 34.04% |
| ㄱㄴㄷㄴ vs Lars | 16–29 | 35.56% |
| ㄱㄴㄷㄴ vs Leo | 18–26 | 40.91% |
| ㄱㄴㄷㄴ vs Eddy | 20–11 | 64.52% |
| ㄱㄴㄷㄴ vs Leroy | 16–14 | 53.33% |
| ㄱㄴㄷㄴ vs Shaheen | 10–19 | 34.48% |
| ㄱㄴㄷㄴ vs Kuma | 11–14 | 44.00% |
| ㄱㄴㄷㄴ vs Raven | 9–15 | 37.50% |
| ㄱㄴㄷㄴ vs Panda | 7–9 | 43.75% |
| ㄱㄴㄷㄴ vs Zafina | 6–10 | 37.50% |
| ㄱㄴㄷㄴ vs Clive | 6–1 | 85.71% |
| ㄱㄴㄷㄴ vs Anna | 3–3 | 50.00% |
| ㄱㄴㄷㄴ vs Fahkumram | 2–1 | 66.67% |
| ㄱㄴㄷㄴ vs Armor King | 1–2 | 33.33% |
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.