Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kan00n vs Bryan 505–381 57.00%
Kan00n vs Jin 427–317 57.39%
Kan00n vs Dragunov 364–336 52.00%
Kan00n vs King 379–301 55.74%
Kan00n vs Kazuya 363–281 56.37%
Kan00n vs Hwoarang 239–259 47.99%
Kan00n vs Law 280–217 56.34%
Kan00n vs Lili 271–209 56.46%
Kan00n vs Devil Jin 263–196 57.30%
Kan00n vs Steve 276–176 61.06%
Kan00n vs Feng 215–199 51.93%
Kan00n vs Lars 218–188 53.69%
Kan00n vs Heihachi 224–175 56.14%
Kan00n vs Yoshimitsu 253–144 63.73%
Kan00n vs Alisa 186–193 49.08%
Kan00n vs Lee 216–163 56.99%
Kan00n vs Victor 195–182 51.72%
Kan00n vs Reina 211–165 56.12%
Kan00n vs Claudio 184–191 49.07%
Kan00n vs Lidia 183–171 51.69%
Kan00n vs Paul 194–155 55.59%
Kan00n vs Clive 184–162 53.18%
Kan00n vs Jun 197–143 57.94%
Kan00n vs Leo 172–165 51.04%
Kan00n vs Asuka 169–166 50.45%
Kan00n vs Shaheen 155–171 47.55%
Kan00n vs Xiaoyu 192–127 60.19%
Kan00n vs Anna 159–127 55.59%
Kan00n vs Leroy 161–124 56.49%
Kan00n vs Azucena 156–124 55.71%
Kan00n vs Eddy 147–119 55.26%
Kan00n vs Jack-8 139–125 52.65%
Kan00n vs Nina 144–120 54.55%
Kan00n vs Fahkumram 133–111 54.51%
Kan00n vs Raven 129–104 55.36%
Kan00n vs Zafina 135–93 59.21%
Kan00n vs Armor King 115–79 59.28%
Kan00n vs Kuma 86–69 55.48%
Kan00n vs Miary Zo 49–45 52.13%
Kan00n vs Panda 44–29 60.27%

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.