Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

ova here
im bad
ova here vs King 13–2 86.67%
ova here vs Steve 10–5 66.67%
ova here vs Hwoarang 12–2 85.71%
ova here vs Bryan 8–5 61.54%
ova here vs Asuka 11–2 84.62%
ova here vs Victor 9–4 69.23%
ova here vs Reina 10–2 83.33%
ova here vs Jin 9–2 81.82%
ova here vs Law 9–1 90.00%
ova here vs Kazuya 3–7 30.00%
ova here vs Azucena 6–4 60.00%
ova here vs Paul 5–4 55.56%
ova here vs Leo 5–4 55.56%
ova here vs Lee 4–4 50.00%
ova here vs Eddy 8–0 100.00%
ova here vs Devil Jin 5–2 71.43%
ova here vs Dragunov 3–4 42.86%
ova here vs Shaheen 6–1 85.71%
ova here vs Nina 2–5 28.57%
ova here vs Lars 2–4 33.33%
ova here vs Lili 4–1 80.00%
ova here vs Leroy 5–0 100.00%
ova here vs Xiaoyu 4–0 100.00%
ova here vs Feng 2–2 50.00%
ova here vs Alisa 3–0 100.00%
ova here vs Raven 2–1 66.67%
ova here vs Lidia 2–1 66.67%
ova here vs Yoshimitsu 2–0 100.00%
ova here vs Kuma 2–0 100.00%
ova here vs Jun 2–0 100.00%
ova here vs Heihachi 0–2 0.00%
ova here vs Panda 0–1 0.00%

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.