Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

BadToy vs Armor King 20–2 90.91%
BadToy vs Reina 18–1 94.74%
BadToy vs Paul 12–2 85.71%
BadToy vs Bryan 11–2 84.62%
BadToy vs Lili 10–2 83.33%
BadToy vs Anna 10–2 83.33%
BadToy vs Asuka 6–5 54.55%
BadToy vs Law 8–0 100.00%
BadToy vs Jin 7–0 100.00%
BadToy vs Hwoarang 5–1 83.33%
BadToy vs Steve 6–0 100.00%
BadToy vs Shaheen 4–1 80.00%
BadToy vs Kazuya 4–0 100.00%
BadToy vs Alisa 4–0 100.00%
BadToy vs Claudio 4–0 100.00%
BadToy vs Azucena 3–1 75.00%
BadToy vs Heihachi 4–0 100.00%
BadToy vs King 3–0 100.00%
BadToy vs Xiaoyu 3–0 100.00%
BadToy vs Raven 3–0 100.00%
BadToy vs Fahkumram 3–0 100.00%
BadToy vs Dragunov 2–0 100.00%
BadToy vs Nina 2–0 100.00%
BadToy vs Panda 1–1 50.00%
BadToy vs Yoshimitsu 1–0 100.00%
BadToy vs Leo 1–0 100.00%
BadToy vs Lars 1–0 100.00%
BadToy vs Jun 1–0 100.00%
BadToy 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.