Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Himler vs Kazuya 582–565–2 50.74%
Himler vs Bryan 575–543 51.43%
Himler vs Jin 568–497 53.33%
Himler vs King 514–438 53.99%
Himler vs Dragunov 409–439 48.23%
Himler vs Hwoarang 344–336 50.59%
Himler vs Paul 320–341 48.41%
Himler vs Law 288–312 48.00%
Himler vs Devil Jin 296–277 51.66%
Himler vs Heihachi 269–294 47.78%
Himler vs Steve 240–268 47.24%
Himler vs Yoshimitsu 252–231 52.17%
Himler vs Feng 167–273 37.95%
Himler vs Reina 228–209 52.17%
Himler vs Lars 214–198 51.94%
Himler vs Lee 163–247 39.76%
Himler vs Lili 176–203 46.44%
Himler vs Alisa 178–182 49.44%
Himler vs Nina 174–177 49.57%
Himler vs Jack-8 147–178 45.23%
Himler vs Victor 164–158 50.93%
Himler vs Asuka 117–151 43.66%
Himler vs Claudio 110–154 41.67%
Himler vs Jun 126–136 48.09%
Himler vs Leroy 128–123 51.00%
Himler vs Azucena 109–109 50.00%
Himler vs Eddy 97–113 46.19%
Himler vs Clive 93–115 44.71%
Himler vs Shaheen 96–109 46.83%
Himler vs Anna 98–101 49.25%
Himler vs Xiaoyu 89–105–1 45.88%
Himler vs Leo 70–99 41.42%
Himler vs Kuma 75–94 44.38%
Himler vs Armor King 64–102–1 38.55%
Himler vs Lidia 67–85–1 44.08%
Himler vs Raven 72–78 48.00%
Himler vs Zafina 35–79 30.70%
Himler vs Fahkumram 33–58 36.26%
Himler vs Panda 16–28 36.36%
Himler vs Miary Zo 7–13 35.00%

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.