Waiting for Season 3? Try out c7, which now has Wavu Wank7.

Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

pu-san vs Bryan 157–155 50.32%
pu-san vs Kazuya 122–118 50.83%
pu-san vs Hwoarang 104–131 44.26%
pu-san vs Paul 126–105 54.55%
pu-san vs Dragunov 112–112 50.00%
pu-san vs King 122–95 56.22%
pu-san vs Jin 94–86 52.22%
pu-san vs Steve 77–85 47.53%
pu-san vs Law 88–60 59.46%
pu-san vs Yoshimitsu 89–55 61.81%
pu-san vs Lili 77–63 55.00%
pu-san vs Lars 69–67 50.74%
pu-san vs Asuka 71–63 52.99%
pu-san vs Reina 55–77 41.67%
pu-san vs Azucena 59–71 45.38%
pu-san vs Armor King 71–58 55.04%
pu-san vs Nina 61–65 48.41%
pu-san vs Jack-8 52–69 42.98%
pu-san vs Feng 61–58 51.26%
pu-san vs Devil Jin 55–61 47.41%
pu-san vs Jun 65–50 56.52%
pu-san vs Xiaoyu 67–45 59.82%
pu-san vs Lee 52–59 46.85%
pu-san vs Anna 47–59 44.34%
pu-san vs Leroy 48–51 48.48%
pu-san vs Victor 39–59 39.80%
pu-san vs Heihachi 34–64 34.69%
pu-san vs Alisa 49–45 52.13%
pu-san vs Lidia 40–54 42.55%
pu-san vs Fahkumram 38–51 42.70%
pu-san vs Raven 54–31 63.53%
pu-san vs Leo 36–39 48.00%
pu-san vs Eddy 23–47 32.86%
pu-san vs Zafina 45–23 66.18%
pu-san vs Claudio 38–29 56.72%
pu-san vs Clive 22–34 39.29%
pu-san vs Kuma 29–24 54.72%
pu-san vs Shaheen 25–25 50.00%
pu-san vs Miary Zo 21–29 42.00%
pu-san vs Panda 19–20 48.72%

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.