Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Lets improve
4gMm-L5Jn-mM6y xbox Lets Improve Europe

Ratings

Lets improve vs Jin 25–0 100.00%
Lets improve vs Law 18–0 100.00%
Lets improve vs Hwoarang 17–0 100.00%
Lets improve vs Eddy 16–0 100.00%
Lets improve vs Steve 12–3 80.00%
Lets improve vs Yoshimitsu 13–1 92.86%
Lets improve vs Lee 11–3 78.57%
Lets improve vs Reina 12–1 92.31%
Lets improve vs King 11–0 100.00%
Lets improve vs Victor 11–0 100.00%
Lets improve vs Kazuya 10–0 100.00%
Lets improve vs Leroy 9–1 90.00%
Lets improve vs Devil Jin 8–1 88.89%
Lets improve vs Lars 9–0 100.00%
Lets improve vs Alisa 8–0 100.00%
Lets improve vs Jun 7–1 87.50%
Lets improve vs Paul 5–2 71.43%
Lets improve vs Xiaoyu 7–0 100.00%
Lets improve vs Lili 5–2 71.43%
Lets improve vs Dragunov 7–0 100.00%
Lets improve vs Raven 5–2 71.43%
Lets improve vs Anna 4–3 57.14%
Lets improve vs Bryan 5–1 83.33%
Lets improve vs Nina 5–0 100.00%
Lets improve vs Panda 5–0 100.00%
Lets improve vs Asuka 4–0 100.00%
Lets improve vs Feng 2–1 66.67%
Lets improve vs Claudio 3–0 100.00%
Lets improve vs Zafina 3–0 100.00%
Lets improve vs Azucena 3–0 100.00%
Lets improve vs Kuma 2–0 100.00%
Lets improve vs Heihachi 0–2 0.00%
Lets improve vs Lidia 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.