Name history
안나하고싶어 | |
하고싶지만키면끄고싶은게임 | |
파랑단갈수있냐 | |
가운데손가락이나먹어라화랑 | |
왜게임튕기냐? | |
화랑빅터지읏같네 | |
TEKKEN OF KNEE | |
knee만쓰기 | |
브라이언오늘처음ㅋ | |
철권은고통의게임이야 | |
의자단찍어보자 | |
도넛먹는드붕이 | |
드황드황드황드붕이아냐~ | |
히트박스어려웡 | |
eve빵댕이좋아 | |
miracle edge | |
얍삽이로이기면goja | |
얍삽이로이기면찌질이 | |
모르면맞아야지 |
안나하고싶어 vs Kazuya | 68–41 | 62.39% |
안나하고싶어 vs Heihachi | 27–47 | 36.49% |
안나하고싶어 vs Dragunov | 35–35 | 50.00% |
안나하고싶어 vs Paul | 31–38 | 44.93% |
안나하고싶어 vs King | 33–36 | 47.83% |
안나하고싶어 vs Reina | 43–21 | 67.19% |
안나하고싶어 vs Jin | 30–33 | 47.62% |
안나하고싶어 vs Bryan | 21–37 | 36.21% |
안나하고싶어 vs Asuka | 27–26 | 50.94% |
안나하고싶어 vs Lili | 22–29 | 43.14% |
안나하고싶어 vs Hwoarang | 19–29 | 39.58% |
안나하고싶어 vs Jun | 19–27 | 41.30% |
안나하고싶어 vs Victor | 19–27 | 41.30% |
안나하고싶어 vs Yoshimitsu | 27–16 | 62.79% |
안나하고싶어 vs Lidia | 23–20 | 53.49% |
안나하고싶어 vs Steve | 21–18 | 53.85% |
안나하고싶어 vs Devil Jin | 17–21 | 44.74% |
안나하고싶어 vs Feng | 11–24 | 31.43% |
안나하고싶어 vs Xiaoyu | 15–17 | 46.88% |
안나하고싶어 vs Azucena | 21–11 | 65.62% |
안나하고싶어 vs Claudio | 10–21 | 32.26% |
안나하고싶어 vs Nina | 19–12 | 61.29% |
안나하고싶어 vs Law | 12–18 | 40.00% |
안나하고싶어 vs Eddy | 11–15 | 42.31% |
안나하고싶어 vs Jack-8 | 10–15 | 40.00% |
안나하고싶어 vs Alisa | 11–11 | 50.00% |
안나하고싶어 vs Lee | 8–13 | 38.10% |
안나하고싶어 vs Leroy | 8–13 | 38.10% |
안나하고싶어 vs Clive | 9–10 | 47.37% |
안나하고싶어 vs Shaheen | 10–6–1 | 62.50% |
안나하고싶어 vs Lars | 9–7 | 56.25% |
안나하고싶어 vs Kuma | 8–7 | 53.33% |
안나하고싶어 vs Zafina | 8–6 | 57.14% |
안나하고싶어 vs Leo | 6–4 | 60.00% |
안나하고싶어 vs Raven | 6–4 | 60.00% |
안나하고싶어 vs Panda | 2–2 | 50.00% |
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.