Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

openstack vs Hwoarang 13–2 86.67%
openstack vs Steve 14–0 100.00%
openstack vs Dragunov 14–0 100.00%
openstack vs Paul 13–0 100.00%
openstack vs King 12–0 100.00%
openstack vs Bryan 11–1 91.67%
openstack vs Asuka 11–1 91.67%
openstack vs Reina 12–0 100.00%
openstack vs Heihachi 11–0 100.00%
openstack vs Shaheen 8–1 88.89%
openstack vs Jin 8–0 100.00%
openstack vs Lars 5–2 71.43%
openstack vs Kazuya 4–2 66.67%
openstack vs Azucena 6–0 100.00%
openstack vs Lee 5–0 100.00%
openstack vs Xiaoyu 4–0 100.00%
openstack vs Devil Jin 4–0 100.00%
openstack vs Feng 4–0 100.00%
openstack vs Leroy 4–0 100.00%
openstack vs Alisa 3–0 100.00%
openstack vs Lidia 3–0 100.00%
openstack vs Law 2–0 100.00%
openstack vs Lili 2–0 100.00%
openstack vs Leo 2–0 100.00%
openstack vs Nina 2–0 100.00%
openstack vs Kuma 2–0 100.00%
openstack vs Zafina 2–0 100.00%
openstack vs Jun 2–0 100.00%
openstack vs Claudio 1–0 100.00%
openstack vs Panda 1–0 100.00%
openstack vs Victor 0–1 0.00%
openstack vs Clive 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.