Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

TUNDER-2019 vs Law 3–6 33.33%
TUNDER-2019 vs King 3–5 37.50%
TUNDER-2019 vs Victor 3–4 42.86%
TUNDER-2019 vs Lee 5–0 100.00%
TUNDER-2019 vs Lidia 3–2 60.00%
TUNDER-2019 vs Hwoarang 2–2 50.00%
TUNDER-2019 vs Bryan 3–1 75.00%
TUNDER-2019 vs Devil Jin 3–1 75.00%
TUNDER-2019 vs Shaheen 3–0 100.00%
TUNDER-2019 vs Eddy 1–2 33.33%
TUNDER-2019 vs Kazuya 0–2 0.00%
TUNDER-2019 vs Steve 2–0 100.00%
TUNDER-2019 vs Alisa 0–2 0.00%
TUNDER-2019 vs Jun 1–1 50.00%
TUNDER-2019 vs Panda 2–0 100.00%
TUNDER-2019 vs Leroy 1–1 50.00%
TUNDER-2019 vs Yoshimitsu 1–0 100.00%
TUNDER-2019 vs Asuka 0–1 0.00%
TUNDER-2019 vs Feng 1–0 100.00%
TUNDER-2019 vs Lili 0–1 0.00%
TUNDER-2019 vs Dragunov 0–1 0.00%
TUNDER-2019 vs Leo 1–0 100.00%
TUNDER-2019 vs Nina 1–0 100.00%
TUNDER-2019 vs Azucena 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.