Name history
| 빠따 살인마 | |
| Bat Killer | |
| 톡식한 닉네임 추천좀 | |
| 짠손,배꼬집기 러버 노리벤지 | |
| 전구맨2호기 | |
| LAG NO GAME | |
| 점이요. | |
| 화랑 버프좀 해라 SIBA라 | |
| 에디 같이 개같은거 하지마라 | |
| 화혐좀 그만해라 개쓰래긴데 | |
| 화랑 안해 SIBAL | |
| 병sin화랑 | |
| 병1신화랑 | |
| 고모화랑 | |
| qudtls화랑 | |
| 화랑은 기본스킨 | |
| JunYoung | |
| 화랑 ㅈㄴ 쓰래기인데 왜함? | |
| 화랑 연습좀 합시다 살살좀요 | |
| Tomorrow | |
| 빅붕빅붕맨 |
| 빠따 살인마 vs Hwoarang | 88–54 | 61.97% |
| 빠따 살인마 vs Dragunov | 69–49 | 58.47% |
| 빠따 살인마 vs Kazuya | 64–49 | 56.64% |
| 빠따 살인마 vs Paul | 57–48 | 54.29% |
| 빠따 살인마 vs Jin | 51–48 | 51.52% |
| 빠따 살인마 vs King | 44–43 | 50.57% |
| 빠따 살인마 vs Bryan | 44–41 | 51.76% |
| 빠따 살인마 vs Lidia | 46–31 | 59.74% |
| 빠따 살인마 vs Reina | 50–20 | 71.43% |
| 빠따 살인마 vs Steve | 26–39 | 40.00% |
| 빠따 살인마 vs Law | 42–20 | 67.74% |
| 빠따 살인마 vs Asuka | 32–30 | 51.61% |
| 빠따 살인마 vs Yoshimitsu | 31–27 | 53.45% |
| 빠따 살인마 vs Alisa | 33–22 | 60.00% |
| 빠따 살인마 vs Lars | 33–21 | 61.11% |
| 빠따 살인마 vs Devil Jin | 25–27 | 48.08% |
| 빠따 살인마 vs Feng | 30–22 | 57.69% |
| 빠따 살인마 vs Claudio | 19–25 | 43.18% |
| 빠따 살인마 vs Victor | 21–21 | 50.00% |
| 빠따 살인마 vs Azucena | 25–16 | 60.98% |
| 빠따 살인마 vs Lili | 25–13 | 65.79% |
| 빠따 살인마 vs Jack-8 | 22–15 | 59.46% |
| 빠따 살인마 vs Jun | 20–16 | 55.56% |
| 빠따 살인마 vs Nina | 14–21 | 40.00% |
| 빠따 살인마 vs Lee | 15–19 | 44.12% |
| 빠따 살인마 vs Raven | 17–15 | 53.12% |
| 빠따 살인마 vs Heihachi | 12–18 | 40.00% |
| 빠따 살인마 vs Xiaoyu | 13–16 | 44.83% |
| 빠따 살인마 vs Eddy | 12–17 | 41.38% |
| 빠따 살인마 vs Leo | 16–10 | 61.54% |
| 빠따 살인마 vs Leroy | 11–12 | 47.83% |
| 빠따 살인마 vs Clive | 7–13 | 35.00% |
| 빠따 살인마 vs Kuma | 13–5 | 72.22% |
| 빠따 살인마 vs Zafina | 9–8 | 52.94% |
| 빠따 살인마 vs Shaheen | 7–7 | 50.00% |
| 빠따 살인마 vs Fahkumram | 7–5 | 58.33% |
| 빠따 살인마 vs Panda | 3–6 | 33.33% |
| 빠따 살인마 vs Miary Zo | 4–2 | 66.67% |
| 빠따 살인마 vs Anna | 2–2 | 50.00% |
| 빠따 살인마 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.