Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

man goo enjoyer vs Steve 16–1 94.12%
man goo enjoyer vs Hwoarang 11–5 68.75%
man goo enjoyer vs King 8–7 53.33%
man goo enjoyer vs Victor 13–2 86.67%
man goo enjoyer vs Kazuya 14–0 100.00%
man goo enjoyer vs Jin 11–2 84.62%
man goo enjoyer vs Lili 11–1 91.67%
man goo enjoyer vs Reina 11–1 91.67%
man goo enjoyer vs Bryan 6–5 54.55%
man goo enjoyer vs Dragunov 6–4 60.00%
man goo enjoyer vs Law 7–1 87.50%
man goo enjoyer vs Lee 6–2 75.00%
man goo enjoyer vs Alisa 1–5 16.67%
man goo enjoyer vs Paul 3–2 60.00%
man goo enjoyer vs Eddy 4–1 80.00%
man goo enjoyer vs Yoshimitsu 4–0 100.00%
man goo enjoyer vs Xiaoyu 4–0 100.00%
man goo enjoyer vs Leo 4–0 100.00%
man goo enjoyer vs Shaheen 4–0 100.00%
man goo enjoyer vs Lars 2–1 66.67%
man goo enjoyer vs Leroy 2–1 66.67%
man goo enjoyer vs Nina 2–0 100.00%
man goo enjoyer vs Kuma 2–0 100.00%
man goo enjoyer vs Panda 0–2 0.00%
man goo enjoyer vs Jun 0–2 0.00%
man goo enjoyer vs Lidia 2–0 100.00%
man goo enjoyer vs Asuka 1–0 100.00%
man goo enjoyer vs Feng 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.