Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Haetora vs Kazuya 263–229 53.46%
Haetora vs Jin 223–206 51.98%
Haetora vs Bryan 215–200 51.81%
Haetora vs Heihachi 171–186 47.90%
Haetora vs Hwoarang 175–158 52.55%
Haetora vs King 167–146 53.35%
Haetora vs Reina 157–140 52.86%
Haetora vs Paul 138–154 47.26%
Haetora vs Yoshimitsu 163–120 57.60%
Haetora vs Lee 130–117 52.63%
Haetora vs Devil Jin 104–140 42.62%
Haetora vs Lili 106–135 43.98%
Haetora vs Dragunov 119–121 49.58%
Haetora vs Steve 114–115 49.78%
Haetora vs Law 115–112 50.66%
Haetora vs Jun 86–82 51.19%
Haetora vs Raven 83–79 51.23%
Haetora vs Azucena 84–75 52.83%
Haetora vs Asuka 77–81 48.73%
Haetora vs Armor King 74–76 49.33%
Haetora vs Lars 77–71 52.03%
Haetora vs Feng 61–86 41.50%
Haetora vs Victor 70–67 51.09%
Haetora vs Leo 62–66 48.44%
Haetora vs Alisa 64–64 50.00%
Haetora vs Leroy 62–64–1 49.21%
Haetora vs Nina 62–61 50.41%
Haetora vs Xiaoyu 62–55 52.99%
Haetora vs Eddy 47–55 46.08%
Haetora vs Claudio 48–45 51.61%
Haetora vs Zafina 32–56 36.36%
Haetora vs Clive 34–48 41.46%
Haetora vs Jack-8 33–48 40.74%
Haetora vs Kuma 37–44 45.68%
Haetora vs Lidia 40–39 50.63%
Haetora vs Shaheen 37–37 50.00%
Haetora vs Fahkumram 15–29 34.09%
Haetora vs Panda 25–17 59.52%
Haetora vs Anna 14–13 51.85%
Haetora vs Miary Zo 7–10 41.18%

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.