Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Slippery Blues vs Bryan 293–224 56.67%
Slippery Blues vs Kazuya 275–208 56.94%
Slippery Blues vs Lee 246–171 58.99%
Slippery Blues vs Dragunov 259–153–1 62.86%
Slippery Blues vs Yoshimitsu 205–175 53.95%
Slippery Blues vs Paul 201–171 54.03%
Slippery Blues vs Jin 185–180 50.68%
Slippery Blues vs King 191–169 53.06%
Slippery Blues vs Hwoarang 176–165–1 51.61%
Slippery Blues vs Reina 161–148 52.10%
Slippery Blues vs Azucena 174–131 57.05%
Slippery Blues vs Law 186–117 61.39%
Slippery Blues vs Steve 158–145 52.15%
Slippery Blues vs Lars 152–150 50.33%
Slippery Blues vs Heihachi 147–122 54.65%
Slippery Blues vs Lili 128–137 48.30%
Slippery Blues vs Devil Jin 127–124 50.60%
Slippery Blues vs Feng 136–113 54.62%
Slippery Blues vs Asuka 148–96 60.66%
Slippery Blues vs Claudio 111–117 48.68%
Slippery Blues vs Nina 115–111 50.88%
Slippery Blues vs Xiaoyu 93–130 41.70%
Slippery Blues vs Jun 125–95 56.82%
Slippery Blues vs Zafina 128–86 59.81%
Slippery Blues vs Leo 124–79 61.08%
Slippery Blues vs Victor 123–79 60.89%
Slippery Blues vs Shaheen 113–88 56.22%
Slippery Blues vs Leroy 103–98 51.24%
Slippery Blues vs Jack-8 106–87 54.92%
Slippery Blues vs Raven 96–79 54.86%
Slippery Blues vs Alisa 105–59 64.02%
Slippery Blues vs Eddy 68–85 44.44%
Slippery Blues vs Lidia 70–61 53.44%
Slippery Blues vs Anna 51–30 62.96%
Slippery Blues vs Clive 31–41 43.06%
Slippery Blues vs Kuma 35–28 55.56%
Slippery Blues vs Panda 27–32 45.76%
Slippery Blues vs Fahkumram 32–26 55.17%
Slippery Blues vs Armor King 11–7 61.11%
Slippery Blues vs Miary Zo 4–13 23.53%

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.