Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

きよあすか。 vs Bryan 522–604 46.36%
きよあすか。 vs Asuka 407–336 54.78%
きよあすか。 vs Dragunov 356–368 49.17%
きよあすか。 vs Kazuya 335–352 48.76%
きよあすか。 vs King 377–275 57.82%
きよあすか。 vs Steve 278–348 44.41%
きよあすか。 vs Lili 312–249 55.61%
きよあすか。 vs Jin 243–313 43.71%
きよあすか。 vs Paul 261–286 47.71%
きよあすか。 vs Yoshimitsu 305–219 58.21%
きよあすか。 vs Hwoarang 250–273 47.80%
きよあすか。 vs Lars 270–231 53.89%
きよあすか。 vs Jack-8 236–251 48.46%
きよあすか。 vs Feng 242–242 50.00%
きよあすか。 vs Heihachi 230–241 48.83%
きよあすか。 vs Nina 254–216 54.04%
きよあすか。 vs Law 226–242 48.29%
きよあすか。 vs Claudio 241–224 51.83%
きよあすか。 vs Lee 229–235 49.35%
きよあすか。 vs Reina 210–253 45.36%
きよあすか。 vs Azucena 211–229 47.95%
きよあすか。 vs Xiaoyu 220–208 51.40%
きよあすか。 vs Alisa 201–220 47.74%
きよあすか。 vs Devil Jin 203–210 49.15%
きよあすか。 vs Leo 214–191 52.84%
きよあすか。 vs Eddy 178–216 45.18%
きよあすか。 vs Shaheen 200–179 52.77%
きよあすか。 vs Jun 222–147 60.16%
きよあすか。 vs Victor 164–203 44.69%
きよあすか。 vs Lidia 159–176 47.46%
きよあすか。 vs Clive 149–151 49.67%
きよあすか。 vs Zafina 179–119 60.07%
きよあすか。 vs Leroy 147–145 50.34%
きよあすか。 vs Anna 138–123 52.87%
きよあすか。 vs Raven 104–123 45.81%
きよあすか。 vs Fahkumram 111–90 55.22%
きよあすか。 vs Kuma 66–88 42.86%
きよあすか。 vs Armor King 61–73 45.52%
きよあすか。 vs Miary Zo 66–65 50.38%
きよあすか。 vs Panda 50–57 46.73%

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.