Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

!ㅤㅤㅤ
1ㅤㅤㅤ
취권ㅤㅤ
◎==||:::::::::>
♨ ㅤㅤ
네간ㅤㅤ
JAYCE
초풍ᅟᅟᅟᅟᅟ
ᅟᅟᅟᅟᅟ
""""
*****
조이는보이
____
Bound2
브라이언
호날두나의빛나의사랑나의삶
일순천격
일순천격발산개세귀곡추추고호귀
철권8베가참전기원
마하펀치
서머솔트
그만때려주세요
날먹충애미찾아삼만리
용권선풍각
내밀지마
화랑유저애미없음
화랑은고아전용
그만때려요
양심쳐뒤진ㅅ끼들아
내밀지마세요제발
킹ㅅ발날먹ㅈ같은캐릭터
네간돌려다오
!ㅤㅤㅤ vs Heihachi 186–219 45.93%
!ㅤㅤㅤ vs Kazuya 203–191 51.52%
!ㅤㅤㅤ vs Dragunov 169–168 50.15%
!ㅤㅤㅤ vs Paul 131–157 45.49%
!ㅤㅤㅤ vs Bryan 115–158 42.12%
!ㅤㅤㅤ vs Reina 117–127 47.95%
!ㅤㅤㅤ vs Jin 92–149 38.17%
!ㅤㅤㅤ vs Hwoarang 108–110 49.54%
!ㅤㅤㅤ vs King 88–92 48.89%
!ㅤㅤㅤ vs Devil Jin 92–85 51.98%
!ㅤㅤㅤ vs Steve 64–87 42.38%
!ㅤㅤㅤ vs Victor 70–77 47.62%
!ㅤㅤㅤ vs Asuka 65–75 46.43%
!ㅤㅤㅤ vs Clive 70–69 50.36%
!ㅤㅤㅤ vs Lili 56–82 40.58%
!ㅤㅤㅤ vs Yoshimitsu 58–67–1 46.40%
!ㅤㅤㅤ vs Azucena 51–59 46.36%
!ㅤㅤㅤ vs Law 42–52 44.68%
!ㅤㅤㅤ vs Nina 41–53 43.62%
!ㅤㅤㅤ vs Leroy 41–53 43.62%
!ㅤㅤㅤ vs Jun 38–54 41.30%
!ㅤㅤㅤ vs Claudio 35–56 38.46%
!ㅤㅤㅤ vs Lars 31–52 37.35%
!ㅤㅤㅤ vs Jack-8 35–46 43.21%
!ㅤㅤㅤ vs Lee 34–41 45.33%
!ㅤㅤㅤ vs Lidia 33–42 44.00%
!ㅤㅤㅤ vs Feng 32–38 45.71%
!ㅤㅤㅤ vs Alisa 35–34 50.72%
!ㅤㅤㅤ vs Leo 27–32 45.76%
!ㅤㅤㅤ vs Eddy 18–35 33.96%
!ㅤㅤㅤ vs Shaheen 16–33 32.65%
!ㅤㅤㅤ vs Xiaoyu 20–24 45.45%
!ㅤㅤㅤ vs Kuma 13–26 33.33%
!ㅤㅤㅤ vs Raven 11–26 29.73%
!ㅤㅤㅤ vs Panda 15–11 57.69%
!ㅤㅤㅤ vs Zafina 5–18 21.74%

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.