Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

ex-hacker
Cancer Cell
Dino Crisis
Tekken Cancer
Breast Cancer
Business Woman
Dark Jun
Rule of Rose
ex-hacker vs King 29–20 59.18%
ex-hacker vs Kazuya 28–20 58.33%
ex-hacker vs Jin 17–17 50.00%
ex-hacker vs Steve 21–11 65.62%
ex-hacker vs Devil Jin 12–12 50.00%
ex-hacker vs Law 19–4 82.61%
ex-hacker vs Hwoarang 16–7 69.57%
ex-hacker vs Asuka 14–7 66.67%
ex-hacker vs Xiaoyu 14–4 77.78%
ex-hacker vs Alisa 11–7 61.11%
ex-hacker vs Reina 8–9 47.06%
ex-hacker vs Lili 8–8 50.00%
ex-hacker vs Bryan 9–6 60.00%
ex-hacker vs Nina 10–5 66.67%
ex-hacker vs Zafina 11–4 73.33%
ex-hacker vs Feng 9–3 75.00%
ex-hacker vs Lars 9–3 75.00%
ex-hacker vs Jun 8–4 66.67%
ex-hacker vs Azucena 4–5 44.44%
ex-hacker vs Heihachi 7–2 77.78%
ex-hacker vs Clive 4–5 44.44%
ex-hacker vs Victor 3–5 37.50%
ex-hacker vs Eddy 7–1 87.50%
ex-hacker vs Lee 2–5 28.57%
ex-hacker vs Yoshimitsu 5–1 83.33%
ex-hacker vs Dragunov 2–4 33.33%
ex-hacker vs Paul 2–3 40.00%
ex-hacker vs Jack-8 3–2 60.00%
ex-hacker vs Leo 1–4 20.00%
ex-hacker vs Leroy 2–2 50.00%
ex-hacker vs Lidia 3–1 75.00%
ex-hacker vs Shaheen 0–2 0.00%
ex-hacker vs Kuma 0–1 0.00%
ex-hacker vs Panda 1–0 100.00%
ex-hacker vs Raven 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.