Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

lilac vs Jun 6–11 35.29%
lilac vs Steve 6–9 40.00%
lilac vs Paul 4–10 28.57%
lilac vs Lili 6–7 46.15%
lilac vs Leroy 3–10 23.08%
lilac vs Yoshimitsu 4–8 33.33%
lilac vs Jin 3–9 25.00%
lilac vs Reina 6–6 50.00%
lilac vs Eddy 7–5 58.33%
lilac vs Bryan 2–9 18.18%
lilac vs Kazuya 1–10 9.09%
lilac vs King 5–4 55.56%
lilac vs Hwoarang 0–9 0.00%
lilac vs Dragunov 3–6 33.33%
lilac vs Alisa 5–4 55.56%
lilac vs Law 3–5 37.50%
lilac vs Azucena 4–4 50.00%
lilac vs Victor 3–5 37.50%
lilac vs Leo 1–6 14.29%
lilac vs Nina 2–4 33.33%
lilac vs Jack-8 1–4 20.00%
lilac vs Devil Jin 2–2 50.00%
lilac vs Lars 0–4 0.00%
lilac vs Xiaoyu 1–2 33.33%
lilac vs Lee 1–2 33.33%
lilac vs Clive 1–2 33.33%
lilac vs Asuka 2–0 100.00%
lilac vs Claudio 0–2 0.00%
lilac vs Kuma 2–0 100.00%
lilac vs Panda 0–2 0.00%
lilac vs Raven 0–2 0.00%
lilac vs Lidia 0–2 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.