Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Layazero vs Kazuya 143–131 52.19%
Layazero vs Jin 97–98 49.74%
Layazero vs Reina 88–87 50.29%
Layazero vs Bryan 63–91 40.91%
Layazero vs Hwoarang 71–72 49.65%
Layazero vs Steve 67–62 51.94%
Layazero vs Paul 68–54 55.74%
Layazero vs Lili 67–51 56.78%
Layazero vs King 66–45 59.46%
Layazero vs Dragunov 50–61 45.05%
Layazero vs Armor King 66–42 61.11%
Layazero vs Heihachi 47–48 49.47%
Layazero vs Devil Jin 43–50 46.24%
Layazero vs Law 55–36 60.44%
Layazero vs Yoshimitsu 44–37 54.32%
Layazero vs Jun 40–37 51.95%
Layazero vs Lars 29–41 41.43%
Layazero vs Asuka 35–32 52.24%
Layazero vs Lee 33–34 49.25%
Layazero vs Fahkumram 31–36 46.27%
Layazero vs Leo 26–31 45.61%
Layazero vs Xiaoyu 28–24 53.85%
Layazero vs Eddy 26–26 50.00%
Layazero vs Lidia 30–22 57.69%
Layazero vs Azucena 20–28 41.67%
Layazero vs Feng 31–11 73.81%
Layazero vs Miary Zo 23–19 54.76%
Layazero vs Leroy 12–28 30.00%
Layazero vs Alisa 16–22 42.11%
Layazero vs Nina 23–15 60.53%
Layazero vs Claudio 14–17 45.16%
Layazero vs Victor 15–16 48.39%
Layazero vs Shaheen 9–19 32.14%
Layazero vs Jack-8 7–18 28.00%
Layazero vs Zafina 14–11 56.00%
Layazero vs Clive 11–9 55.00%
Layazero vs Raven 5–9 35.71%
Layazero vs Anna 7–7 50.00%
Layazero vs Kuma 3–7 30.00%
Layazero 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.