Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

howaiyo vs Hwoarang 177–201 46.83%
howaiyo vs Dragunov 193–166 53.76%
howaiyo vs Bryan 147–192 43.36%
howaiyo vs Kazuya 148–146 50.34%
howaiyo vs Reina 125–138 47.53%
howaiyo vs Paul 132–123 51.76%
howaiyo vs Steve 133–122 52.16%
howaiyo vs Lili 117–112 51.09%
howaiyo vs Jin 121–101 54.50%
howaiyo vs Lee 108–113 48.87%
howaiyo vs Clive 116–105 52.49%
howaiyo vs King 97–122 44.29%
howaiyo vs Asuka 127–92 57.99%
howaiyo vs Heihachi 102–115 47.00%
howaiyo vs Yoshimitsu 111–105 51.39%
howaiyo vs Law 108–100 51.92%
howaiyo vs Victor 113–92 55.12%
howaiyo vs Azucena 99–88 52.94%
howaiyo vs Jack-8 83–100 45.36%
howaiyo vs Feng 111–65 63.07%
howaiyo vs Claudio 92–68 57.50%
howaiyo vs Xiaoyu 85–70 54.84%
howaiyo vs Shaheen 82–73 52.90%
howaiyo vs Devil Jin 77–77 50.00%
howaiyo vs Lars 83–66 55.70%
howaiyo vs Alisa 59–88 40.14%
howaiyo vs Lidia 76–71 51.70%
howaiyo vs Raven 74–69 51.75%
howaiyo vs Jun 62–80 43.66%
howaiyo vs Leo 74–66 52.86%
howaiyo vs Leroy 61–75 44.85%
howaiyo vs Eddy 60–64 48.39%
howaiyo vs Nina 51–60 45.95%
howaiyo vs Kuma 46–56 45.10%
howaiyo vs Zafina 46–56 45.10%
howaiyo vs Anna 33–33 50.00%
howaiyo vs Panda 14–30 31.82%
howaiyo vs Armor King 16–22 42.11%
howaiyo vs Fahkumram 11–18 37.93%
howaiyo vs Miary Zo 11–8 57.89%

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.