Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Cheesebuns vs King 220–220 50.00%
Cheesebuns vs Kazuya 221–206 51.76%
Cheesebuns vs Bryan 174–195 47.15%
Cheesebuns vs Jin 160–198 44.69%
Cheesebuns vs Reina 152–193 44.06%
Cheesebuns vs Hwoarang 119–186 39.02%
Cheesebuns vs Law 101–168 37.55%
Cheesebuns vs Steve 98–165 37.26%
Cheesebuns vs Dragunov 96–151 38.87%
Cheesebuns vs Lili 110–118 48.25%
Cheesebuns vs Paul 99–128 43.61%
Cheesebuns vs Azucena 94–125 42.92%
Cheesebuns vs Yoshimitsu 84–111 43.08%
Cheesebuns vs Lee 85–107 44.27%
Cheesebuns vs Eddy 75–111 40.32%
Cheesebuns vs Jun 87–94 48.07%
Cheesebuns vs Heihachi 72–105 40.68%
Cheesebuns vs Victor 80–95 45.71%
Cheesebuns vs Asuka 71–90 44.10%
Cheesebuns vs Lars 62–96 39.24%
Cheesebuns vs Xiaoyu 69–86 44.52%
Cheesebuns vs Lidia 56–92 37.84%
Cheesebuns vs Devil Jin 57–67 45.97%
Cheesebuns vs Feng 60–59 50.42%
Cheesebuns vs Leroy 54–65 45.38%
Cheesebuns vs Leo 57–44 56.44%
Cheesebuns vs Nina 47–51 47.96%
Cheesebuns vs Raven 52–42 55.32%
Cheesebuns vs Jack-8 33–59 35.87%
Cheesebuns vs Alisa 28–63 30.77%
Cheesebuns vs Kuma 25–54 31.65%
Cheesebuns vs Claudio 37–35 51.39%
Cheesebuns vs Zafina 29–30 49.15%
Cheesebuns vs Clive 25–34 42.37%
Cheesebuns vs Anna 12–21 36.36%
Cheesebuns vs Shaheen 12–11 52.17%
Cheesebuns vs Panda 6–10 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.