Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Tarnished
Hunter
TheDorya
Zeyad
Tarnished vs Jin 596–480 55.39%
Tarnished vs Kazuya 446–462 49.12%
Tarnished vs King 441–340 56.47%
Tarnished vs Heihachi 340–321 51.44%
Tarnished vs Dragunov 301–343 46.74%
Tarnished vs Bryan 303–311 49.35%
Tarnished vs Devil Jin 200–252 44.25%
Tarnished vs Steve 246–204 54.67%
Tarnished vs Lee 233–208 52.83%
Tarnished vs Law 201–229 46.74%
Tarnished vs Reina 205–208 49.64%
Tarnished vs Paul 154–214 41.85%
Tarnished vs Hwoarang 160–208 43.48%
Tarnished vs Feng 167–183 47.71%
Tarnished vs Lili 162–175 48.07%
Tarnished vs Yoshimitsu 154–151 50.49%
Tarnished vs Nina 134–168 44.37%
Tarnished vs Victor 169–88 65.76%
Tarnished vs Alisa 137–112 55.02%
Tarnished vs Xiaoyu 122–115 51.48%
Tarnished vs Clive 115–108 51.57%
Tarnished vs Jack-8 76–125 37.81%
Tarnished vs Claudio 78–120 39.39%
Tarnished vs Azucena 81–115 41.33%
Tarnished vs Asuka 96–97 49.74%
Tarnished vs Leo 97–95 50.52%
Tarnished vs Lars 80–112 41.67%
Tarnished vs Eddy 105–87 54.69%
Tarnished vs Lidia 88–93 48.62%
Tarnished vs Leroy 89–89 50.00%
Tarnished vs Jun 89–87–1 50.57%
Tarnished vs Kuma 82–87 48.52%
Tarnished vs Shaheen 61–77 44.20%
Tarnished vs Zafina 57–75 43.18%
Tarnished vs Raven 46–49 48.42%
Tarnished vs Panda 16–17 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.