Name history
퀵매망령 | |
친추 걸면 피드백 요청임 | |
리나시타로 떠나자 | |
I want DLC | |
dlc Anna? | |
안나와 니나 | |
trash game | |
jot정병게임 | |
커마는 역시 니나 | |
48lp | |
47lp | |
침착하게 게임하기 힘들다 | |
침착하게 게임하기 | |
화내면서 게임하기 | |
더이상못하겠다 |
퀵매망령 vs Dragunov | 29–25 | 53.70% |
퀵매망령 vs Reina | 27–27 | 50.00% |
퀵매망령 vs Jin | 29–19 | 60.42% |
퀵매망령 vs Lili | 25–20 | 55.56% |
퀵매망령 vs King | 19–20 | 48.72% |
퀵매망령 vs Paul | 16–20 | 44.44% |
퀵매망령 vs Hwoarang | 24–11 | 68.57% |
퀵매망령 vs Kazuya | 17–15 | 53.12% |
퀵매망령 vs Nina | 17–15 | 53.12% |
퀵매망령 vs Azucena | 16–15 | 51.61% |
퀵매망령 vs Xiaoyu | 15–15 | 50.00% |
퀵매망령 vs Victor | 17–13 | 56.67% |
퀵매망령 vs Asuka | 14–15 | 48.28% |
퀵매망령 vs Law | 10–15 | 40.00% |
퀵매망령 vs Lars | 7–18 | 28.00% |
퀵매망령 vs Bryan | 11–12 | 47.83% |
퀵매망령 vs Eddy | 6–15 | 28.57% |
퀵매망령 vs Devil Jin | 14–5 | 73.68% |
퀵매망령 vs Yoshimitsu | 8–10 | 44.44% |
퀵매망령 vs Steve | 8–9 | 47.06% |
퀵매망령 vs Jack-8 | 10–5 | 66.67% |
퀵매망령 vs Alisa | 9–6 | 60.00% |
퀵매망령 vs Claudio | 7–7 | 50.00% |
퀵매망령 vs Kuma | 8–4 | 66.67% |
퀵매망령 vs Feng | 4–7 | 36.36% |
퀵매망령 vs Leroy | 4–7 | 36.36% |
퀵매망령 vs Jun | 4–6 | 40.00% |
퀵매망령 vs Shaheen | 4–5 | 44.44% |
퀵매망령 vs Lee | 2–7 | 22.22% |
퀵매망령 vs Raven | 4–2 | 66.67% |
퀵매망령 vs Leo | 0–5 | 0.00% |
퀵매망령 vs Zafina | 3–0 | 100.00% |
퀵매망령 vs Heihachi | 3–0 | 100.00% |
퀵매망령 vs Panda | 1–1 | 50.00% |
퀵매망령 vs Lidia | 0–2 | 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.