Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

okll vs Bryan 39–20 66.10%
okll vs Reina 33–22 60.00%
okll vs Clive 36–16 69.23%
okll vs Kazuya 30–16 65.22%
okll vs King 22–17 56.41%
okll vs Paul 17–12 58.62%
okll vs Hwoarang 18–11 62.07%
okll vs Nina 17–11 60.71%
okll vs Lili 12–15 44.44%
okll vs Dragunov 17–9 65.38%
okll vs Steve 13–11 54.17%
okll vs Jin 11–12 47.83%
okll vs Law 14–7 66.67%
okll vs Alisa 9–12 42.86%
okll vs Jun 12–8 60.00%
okll vs Asuka 13–6 68.42%
okll vs Leo 9–9 50.00%
okll vs Xiaoyu 10–7 58.82%
okll vs Lee 9–8 52.94%
okll vs Devil Jin 8–8 50.00%
okll vs Victor 11–4 73.33%
okll vs Heihachi 6–9 40.00%
okll vs Yoshimitsu 10–4 71.43%
okll vs Azucena 7–7 50.00%
okll vs Anna 8–5–1 61.54%
okll vs Kuma 9–1 90.00%
okll vs Jack-8 6–3 66.67%
okll vs Claudio 3–5–1 37.50%
okll vs Leroy 5–4 55.56%
okll vs Eddy 4–5 44.44%
okll vs Lidia 4–5 44.44%
okll vs Feng 7–1 87.50%
okll vs Lars 3–5 37.50%
okll vs Zafina 4–3 57.14%
okll vs Raven 1–4–1 20.00%
okll vs Shaheen 3–2 60.00%
okll vs Panda 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.