Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Big dan vs Kazuya 271–308 46.80%
Big dan vs Jin 245–255 49.00%
Big dan vs Law 234–261 47.27%
Big dan vs King 189–244 43.65%
Big dan vs Bryan 203–211 49.03%
Big dan vs Hwoarang 169–197 46.17%
Big dan vs Heihachi 158–194 44.89%
Big dan vs Steve 144–176 45.00%
Big dan vs Armor King 114–171 40.00%
Big dan vs Paul 134–147 47.69%
Big dan vs Reina 117–143 45.00%
Big dan vs Dragunov 106–151 41.25%
Big dan vs Yoshimitsu 104–140 42.62%
Big dan vs Lili 90–128 41.28%
Big dan vs Jun 94–108 46.53%
Big dan vs Fahkumram 51–139 26.84%
Big dan vs Lee 76–106 41.76%
Big dan vs Devil Jin 85–86 49.71%
Big dan vs Eddy 87–83 51.18%
Big dan vs Feng 66–95 40.99%
Big dan vs Nina 75–83 47.47%
Big dan vs Asuka 60–91 39.74%
Big dan vs Lars 65–86 43.05%
Big dan vs Azucena 60–90–1 40.00%
Big dan vs Lidia 66–82 44.59%
Big dan vs Victor 60–80 42.86%
Big dan vs Xiaoyu 60–74 44.78%
Big dan vs Alisa 55–77 41.67%
Big dan vs Clive 50–79 38.76%
Big dan vs Anna 46–62 42.59%
Big dan vs Leo 40–53 43.01%
Big dan vs Jack-8 32–45 41.56%
Big dan vs Claudio 34–37 47.89%
Big dan vs Kuma 31–39 44.29%
Big dan vs Leroy 26–39 40.00%
Big dan vs Raven 30–33 47.62%
Big dan vs Miary Zo 16–35 31.37%
Big dan vs Shaheen 15–31 32.61%
Big dan vs Zafina 14–22 38.89%
Big dan vs Panda 14–7 66.67%

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.