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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

how wrong vs Armor King 11–9 55.00%
how wrong vs King 9–9 50.00%
how wrong vs Dragunov 11–5 68.75%
how wrong vs Lee 7–7 50.00%
how wrong vs Jin 9–4 69.23%
how wrong vs Anna 8–3 72.73%
how wrong vs Yoshimitsu 4–5 44.44%
how wrong vs Steve 8–1 88.89%
how wrong vs Kazuya 1–7 12.50%
how wrong vs Leo 2–5 28.57%
how wrong vs Lili 1–5 16.67%
how wrong vs Law 3–2 60.00%
how wrong vs Xiaoyu 4–1 80.00%
how wrong vs Bryan 1–4 20.00%
how wrong vs Lars 2–3 40.00%
how wrong vs Azucena 3–2 60.00%
how wrong vs Hwoarang 4–0 100.00%
how wrong vs Jack-8 3–1 75.00%
how wrong vs Alisa 2–2 50.00%
how wrong vs Kuma 1–3 25.00%
how wrong vs Reina 1–3 25.00%
how wrong vs Jun 1–2 33.33%
how wrong vs Heihachi 1–2 33.33%
how wrong vs Paul 0–2 0.00%
how wrong vs Asuka 0–2 0.00%
how wrong vs Devil Jin 2–0 100.00%
how wrong vs Feng 1–1 50.00%
how wrong vs Nina 2–0 100.00%
how wrong vs Panda 2–0 100.00%
how wrong vs Raven 1–1 50.00%
how wrong vs Lidia 0–2 0.00%
how wrong vs Fahkumram 2–0 100.00%
how wrong vs Eddy 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.