Name history
| SuperKick | |
| 시즌2적응중(개못함) | |
| 카피바라 | |
| 개못함 ㅋㅋ | |
| Marshall Law | |
| 쳐맞으면서 배운다 | |
| 맞으면서 배운다 | |
| 점수자판기 | |
| HGOO | |
| 연습 또 연습 | |
| 계급 신경 안쓰고 즐겜 | |
| 이기던 말던 | |
| 마샬 로우 |
| SuperKick vs Hwoarang | 50–20 | 71.43% |
| SuperKick vs Dragunov | 31–38 | 44.93% |
| SuperKick vs Alisa | 35–14 | 71.43% |
| SuperKick vs Lee | 26–20 | 56.52% |
| SuperKick vs Yoshimitsu | 19–26 | 42.22% |
| SuperKick vs King | 26–18 | 59.09% |
| SuperKick vs Bryan | 18–25 | 41.86% |
| SuperKick vs Asuka | 21–21 | 50.00% |
| SuperKick vs Leo | 19–18 | 51.35% |
| SuperKick vs Reina | 19–15 | 55.88% |
| SuperKick vs Kazuya | 23–9 | 71.88% |
| SuperKick vs Steve | 17–14 | 54.84% |
| SuperKick vs Victor | 17–13 | 56.67% |
| SuperKick vs Kuma | 18–9 | 66.67% |
| SuperKick vs Paul | 13–13 | 50.00% |
| SuperKick vs Lili | 11–15 | 42.31% |
| SuperKick vs Lars | 11–15 | 42.31% |
| SuperKick vs Jack-8 | 12–13 | 48.00% |
| SuperKick vs Jin | 10–14 | 41.67% |
| SuperKick vs Xiaoyu | 14–9 | 60.87% |
| SuperKick vs Azucena | 14–9 | 60.87% |
| SuperKick vs Devil Jin | 12–10 | 54.55% |
| SuperKick vs Eddy | 13–8 | 61.90% |
| SuperKick vs Nina | 13–7 | 65.00% |
| SuperKick vs Heihachi | 2–18 | 10.00% |
| SuperKick vs Law | 10–7 | 58.82% |
| SuperKick vs Feng | 11–6 | 64.71% |
| SuperKick vs Zafina | 8–9 | 47.06% |
| SuperKick vs Raven | 11–6 | 64.71% |
| SuperKick vs Jun | 7–7 | 50.00% |
| SuperKick vs Lidia | 6–6 | 50.00% |
| SuperKick vs Claudio | 6–5 | 54.55% |
| SuperKick vs Shaheen | 7–4 | 63.64% |
| SuperKick vs Leroy | 6–5 | 54.55% |
| SuperKick vs Panda | 7–3 | 70.00% |
| SuperKick vs Clive | 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.