Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
$200 evo?!

Ratings

$200 evo?! vs Bryan 389–167–1 69.96%
$200 evo?! vs Kazuya 311–165 65.34%
$200 evo?! vs King 283–139 67.06%
$200 evo?! vs Steve 291–131 68.96%
$200 evo?! vs Jin 251–158 61.37%
$200 evo?! vs Hwoarang 274–123 69.02%
$200 evo?! vs Reina 233–131 64.01%
$200 evo?! vs Law 215–124 63.42%
$200 evo?! vs Heihachi 225–98 69.66%
$200 evo?! vs Lee 211–109 65.94%
$200 evo?! vs Lili 193–104 64.98%
$200 evo?! vs Devil Jin 165–120 57.89%
$200 evo?! vs Dragunov 185–98–1 65.37%
$200 evo?! vs Lidia 195–85 69.64%
$200 evo?! vs Jun 162–86 65.32%
$200 evo?! vs Paul 168–71 70.29%
$200 evo?! vs Yoshimitsu 167–69 70.76%
$200 evo?! vs Lars 134–91 59.56%
$200 evo?! vs Feng 154–66 70.00%
$200 evo?! vs Xiaoyu 150–62 70.75%
$200 evo?! vs Victor 130–76 63.11%
$200 evo?! vs Asuka 142–59 70.65%
$200 evo?! vs Azucena 140–47 74.87%
$200 evo?! vs Nina 121–51 70.35%
$200 evo?! vs Jack-8 104–65 61.54%
$200 evo?! vs Leo 120–49 71.01%
$200 evo?! vs Clive 64–94 40.51%
$200 evo?! vs Alisa 85–67 55.92%
$200 evo?! vs Raven 101–47 68.24%
$200 evo?! vs Leroy 85–48 63.91%
$200 evo?! vs Eddy 88–39–1 69.29%
$200 evo?! vs Zafina 85–41 67.46%
$200 evo?! vs Claudio 45–63 41.67%
$200 evo?! vs Shaheen 57–33 63.33%
$200 evo?! vs Kuma 46–33 58.23%
$200 evo?! vs Panda 18–12 60.00%

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.