Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
激安(げきやす)特価(とっか)

Ratings

激安(げきやす)特価(とっか) vs Heihachi 99–39 71.74%
激安(げきやす)特価(とっか) vs Victor 29–54 34.94%
激安(げきやす)特価(とっか) vs Dragunov 44–11 80.00%
激安(げきやす)特価(とっか) vs King 20–14 58.82%
激安(げきやす)特価(とっか) vs Reina 31–1 96.88%
激安(げきやす)特価(とっか) vs Clive 17–15 53.12%
激安(げきやす)特価(とっか) vs Paul 23–2 92.00%
激安(げきやす)特価(とっか) vs Jin 22–0 100.00%
激安(げきやす)特価(とっか) vs Asuka 15–6 71.43%
激安(げきやす)特価(とっか) vs Bryan 15–3 83.33%
激安(げきやす)特価(とっか) vs Law 10–7 58.82%
激安(げきやす)特価(とっか) vs Hwoarang 16–1 94.12%
激安(げきやす)特価(とっか) vs Lili 17–0 100.00%
激安(げきやす)特価(とっか) vs Kazuya 15–0 100.00%
激安(げきやす)特価(とっか) vs Jun 15–0 100.00%
激安(げきやす)特価(とっか) vs Jack-8 13–0 100.00%
激安(げきやす)特価(とっか) vs Devil Jin 11–2 84.62%
激安(げきやす)特価(とっか) vs Xiaoyu 11–1 91.67%
激安(げきやす)特価(とっか) vs Alisa 12–0 100.00%
激安(げきやす)特価(とっか) vs Steve 9–2 81.82%
激安(げきやす)特価(とっか) vs Feng 10–1 90.91%
激安(げきやす)特価(とっか) vs Shaheen 6–4 60.00%
激安(げきやす)特価(とっか) vs Kuma 10–0 100.00%
激安(げきやす)特価(とっか) vs Yoshimitsu 6–0 100.00%
激安(げきやす)特価(とっか) vs Panda 6–0 100.00%
激安(げきやす)特価(とっか) vs Azucena 6–0 100.00%
激安(げきやす)特価(とっか) vs Lee 5–0 100.00%
激安(げきやす)特価(とっか) vs Lidia 5–0 100.00%
激安(げきやす)特価(とっか) vs Claudio 2–2 50.00%
激安(げきやす)特価(とっか) vs Leroy 3–0 100.00%
激安(げきやす)特価(とっか) vs Leo 2–0 100.00%
激安(げきやす)特価(とっか) vs Nina 2–0 100.00%
激安(げきやす)特価(とっか) vs Zafina 2–0 100.00%
激安(げきやす)特価(とっか) vs Eddy 2–0 100.00%

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.