Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

L0YalLaW vs Kazuya 239–203 54.07%
L0YalLaW vs Jin 227–206 52.42%
L0YalLaW vs Bryan 204–199 50.62%
L0YalLaW vs Hwoarang 218–173 55.75%
L0YalLaW vs Law 221–146 60.22%
L0YalLaW vs King 182–160 53.22%
L0YalLaW vs Reina 184–139 56.97%
L0YalLaW vs Steve 158–153 50.80%
L0YalLaW vs Dragunov 159–152 51.13%
L0YalLaW vs Lee 139–134 50.92%
L0YalLaW vs Paul 127–145 46.69%
L0YalLaW vs Azucena 130–119 52.21%
L0YalLaW vs Lili 122–123 49.80%
L0YalLaW vs Lars 133–107 55.42%
L0YalLaW vs Jun 112–113 49.78%
L0YalLaW vs Yoshimitsu 92–115 44.44%
L0YalLaW vs Feng 96–109 46.83%
L0YalLaW vs Nina 87–105 45.31%
L0YalLaW vs Asuka 76–114 40.00%
L0YalLaW vs Eddy 103–87 54.21%
L0YalLaW vs Raven 66–98 40.24%
L0YalLaW vs Leo 73–88 45.34%
L0YalLaW vs Victor 65–92 41.40%
L0YalLaW vs Devil Jin 66–82 44.59%
L0YalLaW vs Lidia 61–69 46.92%
L0YalLaW vs Xiaoyu 64–65 49.61%
L0YalLaW vs Heihachi 70–57 55.12%
L0YalLaW vs Leroy 56–66 45.90%
L0YalLaW vs Jack-8 54–62 46.55%
L0YalLaW vs Alisa 40–55 42.11%
L0YalLaW vs Shaheen 43–47 47.78%
L0YalLaW vs Zafina 32–56 36.36%
L0YalLaW vs Claudio 34–42 44.74%
L0YalLaW vs Kuma 21–37 36.21%
L0YalLaW vs Clive 20–33 37.74%
L0YalLaW vs Panda 13–4 76.47%
L0YalLaW vs Anna 5–9 35.71%
L0YalLaW vs Fahkumram 4–4 50.00%
L0YalLaW vs Miary Zo 0–1 0.00%

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.