Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Wolfloor vs Kazuya 114–128 47.11%
Wolfloor vs Jin 100–105 48.78%
Wolfloor vs Heihachi 95–85 52.78%
Wolfloor vs King 76–96 44.19%
Wolfloor vs Reina 89–67 57.05%
Wolfloor vs Bryan 65–85 43.33%
Wolfloor vs Dragunov 72–73 49.66%
Wolfloor vs Steve 52–76 40.62%
Wolfloor vs Hwoarang 62–64 49.21%
Wolfloor vs Yoshimitsu 65–51 56.03%
Wolfloor vs Paul 40–54 42.55%
Wolfloor vs Devil Jin 64–27 70.33%
Wolfloor vs Law 30–58 34.09%
Wolfloor vs Jun 37–48 43.53%
Wolfloor vs Lee 33–44 42.86%
Wolfloor vs Lili 49–25 66.22%
Wolfloor vs Alisa 30–43 41.10%
Wolfloor vs Azucena 23–39 37.10%
Wolfloor vs Xiaoyu 44–17 72.13%
Wolfloor vs Asuka 26–34 43.33%
Wolfloor vs Leo 28–30 48.28%
Wolfloor vs Claudio 27–31 46.55%
Wolfloor vs Feng 23–32 41.82%
Wolfloor vs Armor King 29–26 52.73%
Wolfloor vs Leroy 20–32 38.46%
Wolfloor vs Anna 23–23 50.00%
Wolfloor vs Eddy 19–26 42.22%
Wolfloor vs Nina 18–26 40.91%
Wolfloor vs Fahkumram 22–22 50.00%
Wolfloor vs Lars 19–20 48.72%
Wolfloor vs Lidia 17–20 45.95%
Wolfloor vs Victor 16–20 44.44%
Wolfloor vs Shaheen 17–18 48.57%
Wolfloor vs Zafina 10–17 37.04%
Wolfloor vs Clive 13–9 59.09%
Wolfloor vs Jack-8 8–12 40.00%
Wolfloor vs Miary Zo 8–12 40.00%
Wolfloor vs Kuma 8–7 53.33%
Wolfloor vs Raven 6–8 42.86%
Wolfloor vs Panda 4–2 66.67%

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.