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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Legolas vs Kazuya 704–632 52.69%
Legolas vs Bryan 711–544 56.65%
Legolas vs Hwoarang 577–661 46.61%
Legolas vs Jin 632–593 51.59%
Legolas vs King 510–594–1 46.20%
Legolas vs Paul 465–496 48.39%
Legolas vs Law 398–455 46.66%
Legolas vs Steve 396–430 47.94%
Legolas vs Heihachi 385–414 48.19%
Legolas vs Reina 429–355 54.72%
Legolas vs Dragunov 353–397 47.07%
Legolas vs Yoshimitsu 310–386 44.54%
Legolas vs Lili 247–351 41.30%
Legolas vs Devil Jin 274–321 46.05%
Legolas vs Lee 269–287 48.38%
Legolas vs Feng 225–252 47.17%
Legolas vs Nina 205–237 46.38%
Legolas vs Alisa 182–254 41.74%
Legolas vs Xiaoyu 241–190 55.92%
Legolas vs Lars 189–233 44.79%
Legolas vs Asuka 201–220 47.74%
Legolas vs Azucena 183–225 44.85%
Legolas vs Fahkumram 161–227 41.49%
Legolas vs Jun 191–187 50.53%
Legolas vs Eddy 167–190 46.78%
Legolas vs Leroy 187–159 54.05%
Legolas vs Armor King 158–171 48.02%
Legolas vs Victor 135–183 42.45%
Legolas vs Lidia 139–168 45.28%
Legolas vs Leo 146–140 51.05%
Legolas vs Raven 136–147 48.06%
Legolas vs Claudio 121–145 45.49%
Legolas vs Jack-8 93–168 35.63%
Legolas vs Zafina 95–128 42.60%
Legolas vs Clive 87–118 42.44%
Legolas vs Anna 99–103 49.01%
Legolas vs Shaheen 67–74 47.52%
Legolas vs Miary Zo 70–65 51.85%
Legolas vs Kuma 44–86 33.85%
Legolas vs Panda 34–39 46.58%

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.