Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LOSE vs Kazuya 16–0 100.00%
LOSE vs Steve 15–0 100.00%
LOSE vs Heihachi 10–5 66.67%
LOSE vs Dragunov 14–0 100.00%
LOSE vs Jin 13–0 100.00%
LOSE vs Asuka 12–1 92.31%
LOSE vs Lili 13–0 100.00%
LOSE vs Law 11–1 91.67%
LOSE vs Bryan 12–0 100.00%
LOSE vs Hwoarang 9–2 81.82%
LOSE vs King 10–0 100.00%
LOSE vs Reina 9–1 90.00%
LOSE vs Victor 9–0 100.00%
LOSE vs Yoshimitsu 6–2 75.00%
LOSE vs Lee 7–0 100.00%
LOSE vs Devil Jin 6–0 100.00%
LOSE vs Feng 6–0 100.00%
LOSE vs Jun 6–0 100.00%
LOSE vs Eddy 6–0 100.00%
LOSE vs Leo 5–0 100.00%
LOSE vs Lidia 5–0 100.00%
LOSE vs Nina 4–0 100.00%
LOSE vs Azucena 3–1 75.00%
LOSE vs Paul 3–0 100.00%
LOSE vs Panda 3–0 100.00%
LOSE vs Zafina 3–0 100.00%
LOSE vs Alisa 2–0 100.00%
LOSE vs Claudio 2–0 100.00%
LOSE vs Leroy 2–0 100.00%
LOSE vs Raven 2–0 100.00%

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.