Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Luster vs Jin 468–488 48.95%
Luster vs Hwoarang 419–424 49.70%
Luster vs Kazuya 411–395 50.99%
Luster vs Bryan 380–421 47.44%
Luster vs Yoshimitsu 421–311 57.51%
Luster vs Reina 358–338–1 51.44%
Luster vs King 377–283 57.12%
Luster vs Steve 320–323 49.77%
Luster vs Dragunov 323–315 50.63%
Luster vs Law 323–298 52.01%
Luster vs Lili 309–279 52.55%
Luster vs Lee 314–265 54.23%
Luster vs Paul 270–287 48.47%
Luster vs Azucena 293–254 53.56%
Luster vs Lars 252–278 47.55%
Luster vs Devil Jin 240–263 47.71%
Luster vs Leo 235–262 47.28%
Luster vs Jun 271–226 54.53%
Luster vs Feng 263–221 54.34%
Luster vs Heihachi 208–276 42.98%
Luster vs Asuka 238–233 50.53%
Luster vs Xiaoyu 233–195 54.44%
Luster vs Jack-8 205–218 48.46%
Luster vs Zafina 202–190 51.53%
Luster vs Raven 188–200 48.45%
Luster vs Nina 186–181 50.68%
Luster vs Alisa 191–158 54.73%
Luster vs Leroy 144–201 41.74%
Luster vs Eddy 187–128 59.37%
Luster vs Lidia 154–158 49.36%
Luster vs Victor 126–164 43.45%
Luster vs Claudio 135–130 50.94%
Luster vs Armor King 89–138 39.21%
Luster vs Shaheen 111–112 49.78%
Luster vs Anna 85–91 48.30%
Luster vs Kuma 95–80 54.29%
Luster vs Clive 64–79 44.76%
Luster vs Panda 54–69 43.90%
Luster vs Miary Zo 53–54 49.53%
Luster vs Fahkumram 36–65 35.64%

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.