Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Decay vs Kazuya 655–618 51.45%
Decay vs Bryan 577–570 50.31%
Decay vs Jin 624–437 58.81%
Decay vs Heihachi 456–376 54.81%
Decay vs Dragunov 329–391 45.69%
Decay vs Hwoarang 355–350 50.35%
Decay vs Reina 352–323 52.15%
Decay vs Paul 308–330 48.28%
Decay vs King 325–281 53.63%
Decay vs Law 322–283 53.22%
Decay vs Devil Jin 326–252 56.40%
Decay vs Steve 258–315 45.03%
Decay vs Lee 234–303 43.58%
Decay vs Yoshimitsu 279–228 55.03%
Decay vs Lili 221–259 46.04%
Decay vs Feng 189–192 49.61%
Decay vs Jun 193–184 51.19%
Decay vs Asuka 173–190 47.66%
Decay vs Azucena 170–171 49.85%
Decay vs Clive 172–169 50.44%
Decay vs Armor King 165–172 48.96%
Decay vs Lars 135–201 40.18%
Decay vs Lidia 163–156 51.10%
Decay vs Xiaoyu 165–153 51.89%
Decay vs Claudio 125–164 43.25%
Decay vs Nina 111–161 40.81%
Decay vs Fahkumram 155–112 58.05%
Decay vs Victor 133–131 50.38%
Decay vs Leo 132–126 51.16%
Decay vs Alisa 105–147 41.67%
Decay vs Eddy 107–129 45.34%
Decay vs Raven 101–130 43.72%
Decay vs Leroy 114–111 50.67%
Decay vs Jack-8 92–120 43.40%
Decay vs Zafina 70–89–1 44.03%
Decay vs Shaheen 60–98 37.97%
Decay vs Anna 82–75 52.23%
Decay vs Kuma 63–67 48.46%
Decay vs Miary Zo 46–50 47.92%
Decay vs Panda 32–34 48.48%

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.