Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Stylize vs Kazuya 321–398 44.65%
Stylize vs Jin 278–328 45.87%
Stylize vs Bryan 237–246 49.07%
Stylize vs Hwoarang 221–238 48.15%
Stylize vs King 208–229 47.60%
Stylize vs Law 206–205 50.12%
Stylize vs Reina 166–201 45.23%
Stylize vs Steve 152–190 44.44%
Stylize vs Lili 168–146 53.50%
Stylize vs Heihachi 113–199 36.22%
Stylize vs Paul 125–161–1 43.71%
Stylize vs Yoshimitsu 119–142 45.59%
Stylize vs Dragunov 84–162 34.15%
Stylize vs Jun 118–127 48.16%
Stylize vs Eddy 112–108 50.91%
Stylize vs Armor King 64–136 32.00%
Stylize vs Devil Jin 85–106 44.50%
Stylize vs Lee 70–111 38.67%
Stylize vs Victor 60–112 34.88%
Stylize vs Asuka 75–89 45.73%
Stylize vs Azucena 60–104 36.59%
Stylize vs Xiaoyu 98–64 60.49%
Stylize vs Lars 46–110 29.49%
Stylize vs Fahkumram 46–100 31.51%
Stylize vs Alisa 60–74 44.78%
Stylize vs Nina 63–65 49.22%
Stylize vs Feng 50–77 39.37%
Stylize vs Leroy 38–77 33.04%
Stylize vs Claudio 35–61 36.46%
Stylize vs Lidia 27–54 33.33%
Stylize vs Clive 30–46 39.47%
Stylize vs Raven 27–48 36.00%
Stylize vs Leo 20–51 28.17%
Stylize vs Zafina 25–45 35.71%
Stylize vs Jack-8 27–36 42.86%
Stylize vs Shaheen 20–39 33.90%
Stylize vs Kuma 23–29 44.23%
Stylize vs Anna 14–20 41.18%
Stylize vs Panda 5–17 22.73%
Stylize vs Miary Zo 8–14 36.36%

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.