Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

GAMEOVER vs Jin 149–80 65.07%
GAMEOVER vs Kazuya 119–67 63.98%
GAMEOVER vs Heihachi 107–56 65.64%
GAMEOVER vs Bryan 89–50 64.03%
GAMEOVER vs King 83–46–1 64.34%
GAMEOVER vs Dragunov 76–41 64.96%
GAMEOVER vs Armor King 83–31 72.81%
GAMEOVER vs Steve 67–41 62.04%
GAMEOVER vs Hwoarang 67–39 63.21%
GAMEOVER vs Anna 54–37 59.34%
GAMEOVER vs Yoshimitsu 46–43 51.69%
GAMEOVER vs Paul 59–24 71.08%
GAMEOVER vs Law 50–30 62.50%
GAMEOVER vs Reina 33–44 42.86%
GAMEOVER vs Devil Jin 53–23 69.74%
GAMEOVER vs Azucena 31–31 50.00%
GAMEOVER vs Feng 44–17 72.13%
GAMEOVER vs Lee 26–27 49.06%
GAMEOVER vs Clive 28–19 59.57%
GAMEOVER vs Leo 26–18 59.09%
GAMEOVER vs Jack-8 25–17 59.52%
GAMEOVER vs Asuka 26–14 65.00%
GAMEOVER vs Jun 28–11 71.79%
GAMEOVER vs Lili 29–8 78.38%
GAMEOVER vs Nina 24–13 64.86%
GAMEOVER vs Leroy 22–14 61.11%
GAMEOVER vs Lars 23–11 67.65%
GAMEOVER vs Fahkumram 26–6 81.25%
GAMEOVER vs Miary Zo 12–20 37.50%
GAMEOVER vs Victor 18–13 58.06%
GAMEOVER vs Claudio 20–8 71.43%
GAMEOVER vs Alisa 18–6 75.00%
GAMEOVER vs Shaheen 12–10 54.55%
GAMEOVER vs Xiaoyu 13–7 65.00%
GAMEOVER vs Raven 13–7 65.00%
GAMEOVER vs Eddy 10–10 50.00%
GAMEOVER vs Zafina 9–9 50.00%
GAMEOVER vs Lidia 7–7 50.00%
GAMEOVER vs Kuma 8–2 80.00%
GAMEOVER vs Panda 3–5 37.50%

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.