Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Un Mec Chill vs Jin 17–1 94.44%
Un Mec Chill vs Kazuya 10–2 83.33%
Un Mec Chill vs Lili 7–3 70.00%
Un Mec Chill vs Yoshimitsu 8–0 100.00%
Un Mec Chill vs Bryan 8–0 100.00%
Un Mec Chill vs Alisa 8–0 100.00%
Un Mec Chill vs Victor 6–1 85.71%
Un Mec Chill vs Heihachi 6–0 100.00%
Un Mec Chill vs Steve 5–0 100.00%
Un Mec Chill vs Lars 4–0 100.00%
Un Mec Chill vs Leroy 4–0 100.00%
Un Mec Chill vs Paul 4–0 100.00%
Un Mec Chill vs King 3–1 75.00%
Un Mec Chill vs Reina 4–0 100.00%
Un Mec Chill vs Law 3–0 100.00%
Un Mec Chill vs Lee 3–0 100.00%
Un Mec Chill vs Lidia 3–0 100.00%
Un Mec Chill vs Azucena 2–1 66.67%
Un Mec Chill vs Feng 2–0 100.00%
Un Mec Chill vs Shaheen 2–0 100.00%
Un Mec Chill vs Nina 2–0 100.00%
Un Mec Chill vs Dragunov 2–0 100.00%
Un Mec Chill vs Claudio 2–0 100.00%
Un Mec Chill vs Zafina 2–0 100.00%
Un Mec Chill vs Xiaoyu 1–0 100.00%
Un Mec Chill 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.