Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

whirloom vs King 5–12 29.41%
whirloom vs Jin 5–12 29.41%
whirloom vs Reina 8–6 57.14%
whirloom vs Hwoarang 7–4 63.64%
whirloom vs Victor 4–6 40.00%
whirloom vs Asuka 3–6 33.33%
whirloom vs Nina 1–8 11.11%
whirloom vs Yoshimitsu 4–3 57.14%
whirloom vs Steve 5–2 71.43%
whirloom vs Clive 3–4 42.86%
whirloom vs Paul 0–6 0.00%
whirloom vs Kuma 4–2 66.67%
whirloom vs Jun 1–5 16.67%
whirloom vs Kazuya 3–2 60.00%
whirloom vs Lars 1–4 20.00%
whirloom vs Claudio 3–2 60.00%
whirloom vs Jack-8 1–3 25.00%
whirloom vs Lili 3–1 75.00%
whirloom vs Dragunov 1–3 25.00%
whirloom vs Law 2–1 66.67%
whirloom vs Xiaoyu 1–2 33.33%
whirloom vs Devil Jin 1–2 33.33%
whirloom vs Feng 1–2 33.33%
whirloom vs Lee 1–2 33.33%
whirloom vs Zafina 2–1 66.67%
whirloom vs Lidia 2–1 66.67%
whirloom vs Bryan 1–1 50.00%
whirloom vs Leo 0–2 0.00%
whirloom vs Leroy 0–1 0.00%
whirloom vs Azucena 1–0 100.00%
whirloom vs Raven 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.