Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Decay vs Kazuya 569–508 52.83%
Decay vs Bryan 509–523 49.32%
Decay vs Jin 569–404 58.48%
Decay vs Heihachi 404–327 55.27%
Decay vs Dragunov 292–349 45.55%
Decay vs Reina 327–306 51.66%
Decay vs Hwoarang 315–316 49.92%
Decay vs Paul 295–315 48.36%
Decay vs King 293–265 52.51%
Decay vs Law 295–262 52.96%
Decay vs Devil Jin 308–232 57.04%
Decay vs Steve 226–288 43.97%
Decay vs Lee 224–288 43.75%
Decay vs Yoshimitsu 259–215 54.64%
Decay vs Lili 180–226 44.33%
Decay vs Feng 181–170 51.57%
Decay vs Jun 180–165 52.17%
Decay vs Asuka 156–165 48.60%
Decay vs Azucena 161–157 50.63%
Decay vs Clive 159–158 50.16%
Decay vs Lars 123–189 39.42%
Decay vs Xiaoyu 153–138 52.58%
Decay vs Lidia 143–142 50.18%
Decay vs Nina 107–144 42.63%
Decay vs Claudio 104–146 41.60%
Decay vs Victor 124–120 50.82%
Decay vs Alisa 100–141 41.49%
Decay vs Armor King 102–125 44.93%
Decay vs Leo 113–109 50.90%
Decay vs Fahkumram 120–95 55.81%
Decay vs Raven 91–122 42.72%
Decay vs Eddy 93–109 46.04%
Decay vs Leroy 101–92 52.33%
Decay vs Jack-8 82–103 44.32%
Decay vs Shaheen 56–90 38.36%
Decay vs Zafina 65–74–1 46.76%
Decay vs Anna 71–65 52.21%
Decay vs Kuma 57–65 46.72%
Decay vs Panda 23–28 45.10%
Decay vs Miary Zo 17–25 40.48%

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.