Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Heaxenz vs Kazuya 276–237 53.80%
Heaxenz vs Bryan 213–225 48.63%
Heaxenz vs King 184–220 45.54%
Heaxenz vs Reina 185–167 52.56%
Heaxenz vs Jin 176–153 53.50%
Heaxenz vs Steve 151–171 46.89%
Heaxenz vs Hwoarang 144–165 46.60%
Heaxenz vs Law 111–152 42.21%
Heaxenz vs Dragunov 129–125 50.79%
Heaxenz vs Lili 133–108 55.19%
Heaxenz vs Yoshimitsu 119–113 51.29%
Heaxenz vs Heihachi 118–112 51.30%
Heaxenz vs Lee 94–116 44.76%
Heaxenz vs Xiaoyu 80–119 40.20%
Heaxenz vs Paul 87–106 45.08%
Heaxenz vs Jun 89–92–1 49.17%
Heaxenz vs Asuka 87–94 48.07%
Heaxenz vs Devil Jin 90–90 50.00%
Heaxenz vs Azucena 81–85 48.80%
Heaxenz vs Armor King 67–98 40.61%
Heaxenz vs Eddy 70–74 48.61%
Heaxenz vs Lars 67–74 47.52%
Heaxenz vs Leo 72–67 51.80%
Heaxenz vs Alisa 59–73 44.70%
Heaxenz vs Fahkumram 51–80 38.93%
Heaxenz vs Leroy 66–59 52.80%
Heaxenz vs Victor 63–62 50.40%
Heaxenz vs Jack-8 67–55 54.92%
Heaxenz vs Clive 59–56 51.30%
Heaxenz vs Feng 49–62 44.14%
Heaxenz vs Raven 52–59 46.85%
Heaxenz vs Lidia 52–51 50.49%
Heaxenz vs Nina 49–51 49.00%
Heaxenz vs Kuma 47–46 50.54%
Heaxenz vs Miary Zo 38–50 43.18%
Heaxenz vs Anna 48–30 61.54%
Heaxenz vs Claudio 31–45–1 40.79%
Heaxenz vs Shaheen 27–39 40.91%
Heaxenz vs Zafina 28–38 42.42%
Heaxenz vs Panda 10–16 38.46%

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.