Name history
| 파라딘_ | |
| 목곡곡곡 | |
| 凸엿이나까좝서凸 | |
| 나이스쿤 | |
| 한판튀,렉걸리면 인간취급X | |
| 손님오면멈춤 8시퇴근 | |
| 손님오면멈춤 20시퇴근 | |
| _터스몬 | |
| 미라클乃 | |
| 나이스쿤[손님오면멈춤죽이셈] | |
| 미라크을 | |
| asdf | |
| WASD | |
| [손님오면멈춤죽이셈] |
| 파라딘_ vs Dragunov | 123–67 | 64.74% |
| 파라딘_ vs Bryan | 122–58 | 67.78% |
| 파라딘_ vs Hwoarang | 121–52 | 69.94% |
| 파라딘_ vs Kazuya | 95–45–1 | 67.86% |
| 파라딘_ vs Jin | 84–46 | 64.62% |
| 파라딘_ vs Steve | 72–50 | 59.02% |
| 파라딘_ vs Lili | 77–39 | 66.38% |
| 파라딘_ vs Victor | 70–38 | 64.81% |
| 파라딘_ vs King | 77–29 | 72.64% |
| 파라딘_ vs Reina | 63–37 | 63.00% |
| 파라딘_ vs Law | 58–31 | 65.17% |
| 파라딘_ vs Jack-8 | 51–36 | 58.62% |
| 파라딘_ vs Asuka | 62–23 | 72.94% |
| 파라딘_ vs Devil Jin | 61–24 | 71.76% |
| 파라딘_ vs Claudio | 49–34 | 59.04% |
| 파라딘_ vs Leroy | 57–24 | 70.37% |
| 파라딘_ vs Raven | 50–31 | 61.73% |
| 파라딘_ vs Feng | 47–30 | 61.04% |
| 파라딘_ vs Azucena | 49–28 | 63.64% |
| 파라딘_ vs Nina | 42–34 | 55.26% |
| 파라딘_ vs Paul | 50–25 | 66.67% |
| 파라딘_ vs Yoshimitsu | 48–26 | 64.86% |
| 파라딘_ vs Alisa | 42–31 | 57.53% |
| 파라딘_ vs Jun | 49–24 | 67.12% |
| 파라딘_ vs Lars | 47–22 | 68.12% |
| 파라딘_ vs Kuma | 47–21 | 69.12% |
| 파라딘_ vs Lee | 45–17 | 72.58% |
| 파라딘_ vs Xiaoyu | 41–17 | 70.69% |
| 파라딘_ vs Eddy | 34–21 | 61.82% |
| 파라딘_ vs Clive | 29–22 | 56.86% |
| 파라딘_ vs Shaheen | 32–15 | 68.09% |
| 파라딘_ vs Leo | 34–11 | 75.56% |
| 파라딘_ vs Lidia | 23–19 | 54.76% |
| 파라딘_ vs Zafina | 25–14 | 64.10% |
| 파라딘_ vs Heihachi | 22–10 | 68.75% |
| 파라딘_ vs Panda | 19–10 | 65.52% |
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.