Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

USMCOgre vs Kazuya 20–0 100.00%
USMCOgre vs Lili 15–0 100.00%
USMCOgre vs Jin 13–0 100.00%
USMCOgre vs King 10–0 100.00%
USMCOgre vs Hwoarang 9–0 100.00%
USMCOgre vs Lars 9–0 100.00%
USMCOgre vs Victor 9–0 100.00%
USMCOgre vs Jun 7–0 100.00%
USMCOgre vs Azucena 7–0 100.00%
USMCOgre vs Dragunov 5–1 83.33%
USMCOgre vs Paul 5–0 100.00%
USMCOgre vs Xiaoyu 5–0 100.00%
USMCOgre vs Reina 5–0 100.00%
USMCOgre vs Eddy 5–0 100.00%
USMCOgre vs Yoshimitsu 4–0 100.00%
USMCOgre vs Bryan 4–0 100.00%
USMCOgre vs Nina 4–0 100.00%
USMCOgre vs Steve 3–0 100.00%
USMCOgre vs Claudio 3–0 100.00%
USMCOgre vs Raven 3–0 100.00%
USMCOgre vs Law 2–0 100.00%
USMCOgre vs Asuka 2–0 100.00%
USMCOgre vs Feng 2–0 100.00%
USMCOgre vs Leo 2–0 100.00%
USMCOgre vs Alisa 2–0 100.00%
USMCOgre vs Shaheen 2–0 100.00%
USMCOgre vs Zafina 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.