Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Wasabii vs Kazuya 249–244 50.51%
Wasabii vs King 240–233 50.74%
Wasabii vs Bryan 197–233 45.81%
Wasabii vs Jin 168–208 44.68%
Wasabii vs Reina 166–164 50.30%
Wasabii vs Heihachi 155–164 48.59%
Wasabii vs Steve 135–162 45.45%
Wasabii vs Hwoarang 109–163 40.07%
Wasabii vs Dragunov 111–131 45.87%
Wasabii vs Lili 105–126 45.45%
Wasabii vs Lee 120–110 52.17%
Wasabii vs Law 96–127 43.05%
Wasabii vs Yoshimitsu 119–101 54.09%
Wasabii vs Azucena 105–113 48.17%
Wasabii vs Paul 80–127 38.65%
Wasabii vs Jun 92–114 44.66%
Wasabii vs Clive 70–79 46.98%
Wasabii vs Asuka 65–81 44.52%
Wasabii vs Lars 66–80 45.21%
Wasabii vs Victor 64–74 46.38%
Wasabii vs Xiaoyu 70–67 51.09%
Wasabii vs Leo 65–71 47.79%
Wasabii vs Eddy 66–68 49.25%
Wasabii vs Feng 66–60 52.38%
Wasabii vs Raven 64–62 50.79%
Wasabii vs Devil Jin 54–70 43.55%
Wasabii vs Fahkumram 66–58 53.23%
Wasabii vs Armor King 48–75 39.02%
Wasabii vs Lidia 68–53 56.20%
Wasabii vs Nina 41–60 40.59%
Wasabii vs Jack-8 39–61 39.00%
Wasabii vs Anna 54–42 56.25%
Wasabii vs Alisa 41–46 47.13%
Wasabii vs Leroy 45–35 56.25%
Wasabii vs Kuma 26–39 40.00%
Wasabii vs Claudio 16–41 28.07%
Wasabii vs Miary Zo 25–31 44.64%
Wasabii vs Zafina 23–16 58.97%
Wasabii vs Shaheen 19–19 50.00%
Wasabii vs Panda 12–17 41.38%

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.