Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

okay
kaysn
kaysn_
notkaysn
aopisfair
ukira
okay vs Kazuya 30–18 62.50%
okay vs King 25–11 69.44%
okay vs Reina 20–12 62.50%
okay vs Jin 20–9 68.97%
okay vs Dragunov 13–13 50.00%
okay vs Lidia 19–7 73.08%
okay vs Yoshimitsu 14–11 56.00%
okay vs Hwoarang 16–9 64.00%
okay vs Bryan 16–9 64.00%
okay vs Feng 10–14 41.67%
okay vs Paul 12–11 52.17%
okay vs Azucena 18–3 85.71%
okay vs Steve 9–9 50.00%
okay vs Lee 7–11 38.89%
okay vs Jun 11–6 64.71%
okay vs Xiaoyu 13–3 81.25%
okay vs Victor 13–3 81.25%
okay vs Asuka 8–6 57.14%
okay vs Devil Jin 6–7 46.15%
okay vs Lili 7–5 58.33%
okay vs Leo 6–5 54.55%
okay vs Jack-8 5–5 50.00%
okay vs Nina 5–4 55.56%
okay vs Alisa 4–4 50.00%
okay vs Claudio 4–4 50.00%
okay vs Law 2–5 28.57%
okay vs Eddy 5–2 71.43%
okay vs Lars 3–2 60.00%
okay vs Zafina 3–2 60.00%
okay vs Leroy 2–1 66.67%
okay vs Raven 2–0 100.00%
okay vs Kuma 1–0 100.00%

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.