Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

bunkface vs Armor King 86–57 60.14%
bunkface vs Bryan 65–59 52.42%
bunkface vs Jin 71–51 58.20%
bunkface vs Dragunov 59–58 50.43%
bunkface vs Hwoarang 58–46 55.77%
bunkface vs King 56–40 58.33%
bunkface vs Lili 52–39 57.14%
bunkface vs Law 44–42 51.16%
bunkface vs Lars 55–26 67.90%
bunkface vs Yoshimitsu 45–35 56.25%
bunkface vs Steve 45–35 56.25%
bunkface vs Kazuya 44–35 55.70%
bunkface vs Reina 49–26 65.33%
bunkface vs Victor 45–27 62.50%
bunkface vs Lee 37–29 56.06%
bunkface vs Jun 31–32 49.21%
bunkface vs Paul 40–22 64.52%
bunkface vs Xiaoyu 24–33 42.11%
bunkface vs Leo 42–15 73.68%
bunkface vs Claudio 33–24 57.89%
bunkface vs Azucena 27–28 49.09%
bunkface vs Fahkumram 37–16 69.81%
bunkface vs Asuka 35–15 70.00%
bunkface vs Anna 20–25 44.44%
bunkface vs Devil Jin 27–16 62.79%
bunkface vs Eddy 24–18 57.14%
bunkface vs Raven 15–20 42.86%
bunkface vs Shaheen 13–21 38.24%
bunkface vs Miary Zo 10–23 30.30%
bunkface vs Zafina 19–12 61.29%
bunkface vs Leroy 12–18 40.00%
bunkface vs Nina 16–13 55.17%
bunkface vs Feng 19–9 67.86%
bunkface vs Alisa 18–10 64.29%
bunkface vs Jack-8 9–15 37.50%
bunkface vs Lidia 14–9 60.87%
bunkface vs Heihachi 9–12 42.86%
bunkface vs Clive 11–9 55.00%
bunkface vs Kuma 0–13 0.00%
bunkface vs Panda 5–0 100.00%

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.