Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

\(OㅇO)/
젠장! 이 공격은 대체 뭐냐
\(^ㅇ^)/
매 판마다 새로운 억까 ㅅㅂ
철권 못하는 사람
꽑꼵꿻낇
꽑꼵깱꿹낅낅낅낅낅낅읅읅앍앍뷃
런닝머신 내린다고 씨1발
철권 어떻게 할지 모르는 놈
철권은뇌를파괴하는유해게임이다
씨1발ㅈ같은데계속하게된다ㅠㅠ
철권존나개쌉잘하는사람
\(OㅇO)/ vs Paul 104–86 54.74%
\(OㅇO)/ vs Kazuya 93–92 50.27%
\(OㅇO)/ vs Reina 85–71 54.49%
\(OㅇO)/ vs Bryan 77–69 52.74%
\(OㅇO)/ vs Clive 66–69 48.89%
\(OㅇO)/ vs Jin 53–75 41.41%
\(OㅇO)/ vs Dragunov 49–74 39.84%
\(OㅇO)/ vs King 48–56 46.15%
\(OㅇO)/ vs Hwoarang 57–45 55.88%
\(OㅇO)/ vs Asuka 38–62 38.00%
\(OㅇO)/ vs Steve 40–56 41.67%
\(OㅇO)/ vs Victor 50–43 53.76%
\(OㅇO)/ vs Heihachi 46–42 52.27%
\(OㅇO)/ vs Lili 39–44 46.99%
\(OㅇO)/ vs Devil Jin 27–39 40.91%
\(OㅇO)/ vs Lidia 34–30 53.12%
\(OㅇO)/ vs Law 27–31 46.55%
\(OㅇO)/ vs Claudio 28–28 50.00%
\(OㅇO)/ vs Yoshimitsu 22–31 41.51%
\(OㅇO)/ vs Alisa 27–26 50.94%
\(OㅇO)/ vs Azucena 21–30 41.18%
\(OㅇO)/ vs Xiaoyu 27–21 56.25%
\(OㅇO)/ vs Lars 18–29 38.30%
\(OㅇO)/ vs Lee 21–26 44.68%
\(OㅇO)/ vs Jun 15–30 33.33%
\(OㅇO)/ vs Jack-8 20–22 47.62%
\(OㅇO)/ vs Feng 17–18 48.57%
\(OㅇO)/ vs Leo 19–16 54.29%
\(OㅇO)/ vs Leroy 20–15 57.14%
\(OㅇO)/ vs Nina 20–14 58.82%
\(OㅇO)/ vs Shaheen 14–16 46.67%
\(OㅇO)/ vs Eddy 18–9 66.67%
\(OㅇO)/ vs Raven 15–9 62.50%
\(OㅇO)/ vs Kuma 11–12 47.83%
\(OㅇO)/ vs Zafina 12–9 57.14%
\(OㅇO)/ vs Panda 1–7 12.50%

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.