Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

whitenes vs Hwoarang 67–76 46.85%
whitenes vs Kazuya 77–53 59.23%
whitenes vs Bryan 40–52 43.48%
whitenes vs Dragunov 43–48 47.25%
whitenes vs King 48–41 53.93%
whitenes vs Paul 34–51 40.00%
whitenes vs Yoshimitsu 53–31 63.10%
whitenes vs Jin 42–41 50.60%
whitenes vs Reina 50–23 68.49%
whitenes vs Law 32–34 48.48%
whitenes vs Asuka 26–38 40.62%
whitenes vs Lars 34–30 53.12%
whitenes vs Steve 29–33 46.77%
whitenes vs Nina 34–28 54.84%
whitenes vs Jun 33–21 61.11%
whitenes vs Feng 19–29 39.58%
whitenes vs Lili 12–36 25.00%
whitenes vs Devil Jin 27–20 57.45%
whitenes vs Leo 17–30 36.17%
whitenes vs Lee 27–17 61.36%
whitenes vs Victor 19–25 43.18%
whitenes vs Eddy 19–23 45.24%
whitenes vs Xiaoyu 16–25 39.02%
whitenes vs Jack-8 20–21 48.78%
whitenes vs Raven 22–19 53.66%
whitenes vs Heihachi 12–27 30.77%
whitenes vs Kuma 13–23 36.11%
whitenes vs Clive 18–18 50.00%
whitenes vs Azucena 20–15 57.14%
whitenes vs Leroy 19–15 55.88%
whitenes vs Claudio 11–19 36.67%
whitenes vs Alisa 10–17 37.04%
whitenes vs Shaheen 13–13 50.00%
whitenes vs Lidia 9–10 47.37%
whitenes vs Zafina 4–7 36.36%
whitenes vs Panda 1–6 14.29%
whitenes vs Anna 4–2 66.67%

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.