Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

EVG #SQUAD#
EVGLOVEYOU
EVG #SQUAD# vs Jin 155–176 46.83%
EVG #SQUAD# vs Reina 157–143 52.33%
EVG #SQUAD# vs Kazuya 116–121 48.95%
EVG #SQUAD# vs Dragunov 119–105 53.12%
EVG #SQUAD# vs King 96–125 43.44%
EVG #SQUAD# vs Bryan 102–119 46.15%
EVG #SQUAD# vs Paul 108–103 51.18%
EVG #SQUAD# vs Hwoarang 109–83 56.77%
EVG #SQUAD# vs Yoshimitsu 71–104 40.57%
EVG #SQUAD# vs Devil Jin 74–82 47.44%
EVG #SQUAD# vs Steve 87–56 60.84%
EVG #SQUAD# vs Lili 62–73 45.93%
EVG #SQUAD# vs Law 68–63 51.91%
EVG #SQUAD# vs Eddy 47–79 37.30%
EVG #SQUAD# vs Azucena 53–63 45.69%
EVG #SQUAD# vs Alisa 38–75 33.63%
EVG #SQUAD# vs Asuka 55–53 50.93%
EVG #SQUAD# vs Nina 46–60 43.40%
EVG #SQUAD# vs Feng 51–50 50.50%
EVG #SQUAD# vs Jun 48–51 48.48%
EVG #SQUAD# vs Lee 43–55 43.88%
EVG #SQUAD# vs Lars 34–51–1 40.00%
EVG #SQUAD# vs Jack-8 51–32 61.45%
EVG #SQUAD# vs Leo 39–41 48.75%
EVG #SQUAD# vs Claudio 31–46 40.26%
EVG #SQUAD# vs Xiaoyu 39–37 51.32%
EVG #SQUAD# vs Zafina 29–47 38.16%
EVG #SQUAD# vs Victor 33–43 43.42%
EVG #SQUAD# vs Raven 37–32 53.62%
EVG #SQUAD# vs Leroy 18–29 38.30%
EVG #SQUAD# vs Kuma 14–22 38.89%
EVG #SQUAD# vs Shaheen 16–14 53.33%
EVG #SQUAD# vs Lidia 5–13 27.78%
EVG #SQUAD# vs Panda 7–8 46.67%
EVG #SQUAD# vs Heihachi 7–7 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.