Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

home vs Jin 51–0 100.00%
home vs King 40–6 86.96%
home vs Bryan 42–2 95.45%
home vs Kazuya 34–4 89.47%
home vs Dragunov 33–4 89.19%
home vs Fahkumram 31–4 88.57%
home vs Armor King 28–4 87.50%
home vs Alisa 23–4 85.19%
home vs Victor 19–8 70.37%
home vs Heihachi 23–3 88.46%
home vs Steve 25–0 100.00%
home vs Law 22–2 91.67%
home vs Devil Jin 18–5 78.26%
home vs Anna 18–5 78.26%
home vs Jack-8 17–1 94.44%
home vs Lili 17–1 94.44%
home vs Reina 14–4 77.78%
home vs Paul 16–1 94.12%
home vs Hwoarang 14–3 82.35%
home vs Xiaoyu 17–0 100.00%
home vs Lars 15–2 88.24%
home vs Lee 13–3 81.25%
home vs Claudio 14–1 93.33%
home vs Jun 13–2 86.67%
home vs Feng 10–4 71.43%
home vs Yoshimitsu 13–0 100.00%
home vs Raven 12–0 100.00%
home vs Zafina 11–0 100.00%
home vs Lidia 11–0 100.00%
home vs Clive 11–0 100.00%
home vs Miary Zo 11–0 100.00%
home vs Asuka 9–1 90.00%
home vs Leo 10–0 100.00%
home vs Nina 9–0 100.00%
home vs Panda 7–0 100.00%
home vs Shaheen 6–0 100.00%
home vs Eddy 6–0 100.00%
home vs Azucena 3–2 60.00%
home vs Kuma 2–0 100.00%
home vs Leroy 2–0 100.00%

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.