Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

@riders.games vs King 13–13 50.00%
@riders.games vs Jin 13–12 52.00%
@riders.games vs Steve 16–3 84.21%
@riders.games vs Eddy 14–5 73.68%
@riders.games vs Azucena 8–7 53.33%
@riders.games vs Kazuya 10–4 71.43%
@riders.games vs Reina 12–2 85.71%
@riders.games vs Bryan 8–5 61.54%
@riders.games vs Nina 9–3 75.00%
@riders.games vs Paul 3–7 30.00%
@riders.games vs Yoshimitsu 8–1 88.89%
@riders.games vs Lili 4–5 44.44%
@riders.games vs Lars 6–2 75.00%
@riders.games vs Hwoarang 4–2 66.67%
@riders.games vs Asuka 3–3 50.00%
@riders.games vs Dragunov 2–4 33.33%
@riders.games vs Kuma 2–4 33.33%
@riders.games vs Victor 2–4 33.33%
@riders.games vs Zafina 4–1 80.00%
@riders.games vs Devil Jin 4–0 100.00%
@riders.games vs Feng 4–0 100.00%
@riders.games vs Law 2–1 66.67%
@riders.games vs Alisa 1–1 50.00%
@riders.games vs Lee 2–0 100.00%
@riders.games vs Raven 2–0 100.00%
@riders.games vs Xiaoyu 0–2 0.00%
@riders.games vs Leroy 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.