Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Anime Chayas vs Kazuya 11–33 25.00%
Anime Chayas vs King 12–21 36.36%
Anime Chayas vs Jin 15–18 45.45%
Anime Chayas vs Lili 4–21 16.00%
Anime Chayas vs Law 5–17 22.73%
Anime Chayas vs Hwoarang 8–12 40.00%
Anime Chayas vs Reina 11–9 55.00%
Anime Chayas vs Steve 11–8 57.89%
Anime Chayas vs Bryan 6–11 35.29%
Anime Chayas vs Yoshimitsu 4–12 25.00%
Anime Chayas vs Armor King 7–9 43.75%
Anime Chayas vs Miary Zo 3–12 20.00%
Anime Chayas vs Dragunov 4–10 28.57%
Anime Chayas vs Lars 6–7 46.15%
Anime Chayas vs Jun 4–6 40.00%
Anime Chayas vs Victor 4–6 40.00%
Anime Chayas vs Paul 1–8 11.11%
Anime Chayas vs Clive 2–7 22.22%
Anime Chayas vs Lee 2–6 25.00%
Anime Chayas vs Eddy 4–4 50.00%
Anime Chayas vs Jack-8 2–5 28.57%
Anime Chayas vs Alisa 1–5 16.67%
Anime Chayas vs Anna 1–5 16.67%
Anime Chayas vs Fahkumram 1–5 16.67%
Anime Chayas vs Xiaoyu 3–2 60.00%
Anime Chayas vs Asuka 2–3 40.00%
Anime Chayas vs Devil Jin 0–4 0.00%
Anime Chayas vs Claudio 0–4 0.00%
Anime Chayas vs Lidia 4–0 100.00%
Anime Chayas vs Raven 2–1 66.67%
Anime Chayas vs Feng 1–1 50.00%
Anime Chayas vs Kuma 0–2 0.00%
Anime Chayas vs Azucena 1–1 50.00%
Anime Chayas vs Heihachi 2–0 100.00%
Anime Chayas vs Leo 1–0 100.00%
Anime Chayas vs Nina 0–1 0.00%
Anime Chayas 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.