Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

UnKnWn1 vs Bryan 270–226 54.44%
UnKnWn1 vs Kazuya 208–176 54.17%
UnKnWn1 vs Steve 205–172 54.38%
UnKnWn1 vs King 187–175 51.66%
UnKnWn1 vs Hwoarang 204–133 60.53%
UnKnWn1 vs Jin 187–138 57.54%
UnKnWn1 vs Reina 173–150 53.56%
UnKnWn1 vs Lee 160–157 50.47%
UnKnWn1 vs Dragunov 143–152 48.47%
UnKnWn1 vs Lili 160–130 55.17%
UnKnWn1 vs Yoshimitsu 130–146 47.10%
UnKnWn1 vs Paul 156–116 57.35%
UnKnWn1 vs Law 133–133 50.00%
UnKnWn1 vs Xiaoyu 155–93 62.50%
UnKnWn1 vs Devil Jin 100–121 45.25%
UnKnWn1 vs Heihachi 100–105 48.78%
UnKnWn1 vs Lars 104–85 55.03%
UnKnWn1 vs Feng 82–101 44.81%
UnKnWn1 vs Nina 81–93 46.55%
UnKnWn1 vs Jack-8 76–92 45.24%
UnKnWn1 vs Asuka 73–70 51.05%
UnKnWn1 vs Victor 77–55 58.33%
UnKnWn1 vs Leo 63–68 48.09%
UnKnWn1 vs Leroy 56–66 45.90%
UnKnWn1 vs Azucena 56–66 45.90%
UnKnWn1 vs Eddy 61–61 50.00%
UnKnWn1 vs Raven 50–70 41.67%
UnKnWn1 vs Kuma 56–61 47.86%
UnKnWn1 vs Clive 61–49 55.45%
UnKnWn1 vs Zafina 55–53 50.93%
UnKnWn1 vs Shaheen 50–48 51.02%
UnKnWn1 vs Alisa 47–47 50.00%
UnKnWn1 vs Claudio 32–58 35.56%
UnKnWn1 vs Jun 43–42 50.59%
UnKnWn1 vs Lidia 34–36 48.57%
UnKnWn1 vs Panda 21–30 41.18%
UnKnWn1 vs Armor King 22–24 47.83%
UnKnWn1 vs Fahkumram 15–12 55.56%
UnKnWn1 vs Miary Zo 10–14 41.67%
UnKnWn1 vs Anna 11–9 55.00%

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.