Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Sigma17 vs Jin 260–177 59.50%
Sigma17 vs Hwoarang 258–157 62.17%
Sigma17 vs Bryan 239–132 64.42%
Sigma17 vs King 226–116 66.08%
Sigma17 vs Steve 214–125 63.13%
Sigma17 vs Law 235–80 74.60%
Sigma17 vs Reina 195–118 62.30%
Sigma17 vs Lars 209–89 70.13%
Sigma17 vs Kazuya 177–116 60.41%
Sigma17 vs Dragunov 194–95 67.13%
Sigma17 vs Armor King 157–114 57.93%
Sigma17 vs Heihachi 161–96 62.65%
Sigma17 vs Lili 175–79 68.90%
Sigma17 vs Lee 161–79 67.08%
Sigma17 vs Paul 172–62 73.50%
Sigma17 vs Nina 159–66 70.67%
Sigma17 vs Fahkumram 135–84 61.64%
Sigma17 vs Devil Jin 137–75 64.62%
Sigma17 vs Yoshimitsu 118–74 61.46%
Sigma17 vs Xiaoyu 112–79 58.64%
Sigma17 vs Asuka 137–54 71.73%
Sigma17 vs Jun 123–64 65.78%
Sigma17 vs Azucena 124–57 68.51%
Sigma17 vs Leo 127–53 70.56%
Sigma17 vs Eddy 107–73 59.44%
Sigma17 vs Zafina 107–65 62.21%
Sigma17 vs Claudio 117–53 68.82%
Sigma17 vs Jack-8 99–68 59.28%
Sigma17 vs Feng 112–51 68.71%
Sigma17 vs Raven 115–44 72.33%
Sigma17 vs Alisa 101–54 65.16%
Sigma17 vs Leroy 102–51 66.67%
Sigma17 vs Anna 87–66 56.86%
Sigma17 vs Clive 80–70 53.33%
Sigma17 vs Miary Zo 91–55 62.33%
Sigma17 vs Lidia 68–54 55.74%
Sigma17 vs Victor 68–49 58.12%
Sigma17 vs Kuma 66–43 60.55%
Sigma17 vs Shaheen 73–22 76.84%
Sigma17 vs Panda 35–33 51.47%

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.