Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

reverseZ vs Kazuya 131–90 59.28%
reverseZ vs King 92–92 50.00%
reverseZ vs Jin 107–65 62.21%
reverseZ vs Hwoarang 60–81 42.55%
reverseZ vs Steve 66–73 47.48%
reverseZ vs Bryan 62–71 46.62%
reverseZ vs Law 62–65 48.82%
reverseZ vs Heihachi 51–65 43.97%
reverseZ vs Reina 48–60 44.44%
reverseZ vs Paul 44–47 48.35%
reverseZ vs Lili 44–37 54.32%
reverseZ vs Dragunov 46–34 57.50%
reverseZ vs Feng 39–36 52.00%
reverseZ vs Yoshimitsu 33–37 47.14%
reverseZ vs Jun 23–41 35.94%
reverseZ vs Nina 29–32 47.54%
reverseZ vs Devil Jin 21–34 38.18%
reverseZ vs Lee 23–32 41.82%
reverseZ vs Lars 16–37 30.19%
reverseZ vs Eddy 27–26 50.94%
reverseZ vs Azucena 25–27 48.08%
reverseZ vs Alisa 20–30 40.00%
reverseZ vs Clive 18–32 36.00%
reverseZ vs Armor King 17–24 41.46%
reverseZ vs Xiaoyu 10–24 29.41%
reverseZ vs Asuka 23–11 67.65%
reverseZ vs Lidia 9–25 26.47%
reverseZ vs Fahkumram 10–21 32.26%
reverseZ vs Victor 16–14 53.33%
reverseZ vs Leo 13–13 50.00%
reverseZ vs Claudio 13–13 50.00%
reverseZ vs Shaheen 13–12 52.00%
reverseZ vs Jack-8 3–20 13.04%
reverseZ vs Zafina 9–13 40.91%
reverseZ vs Leroy 7–14 33.33%
reverseZ vs Miary Zo 11–8 57.89%
reverseZ vs Kuma 8–10 44.44%
reverseZ vs Raven 8–10 44.44%
reverseZ vs Anna 8–6 57.14%
reverseZ vs Panda 3–5 37.50%

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.