Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

so--icy--melly vs Miary Zo 7–5 58.33%
so--icy--melly vs Law 4–6 40.00%
so--icy--melly vs Steve 4–6 40.00%
so--icy--melly vs King 3–5 37.50%
so--icy--melly vs Jun 4–2 66.67%
so--icy--melly vs Xiaoyu 1–4 20.00%
so--icy--melly vs Heihachi 2–3 40.00%
so--icy--melly vs Anna 1–4 20.00%
so--icy--melly vs Asuka 4–0 100.00%
so--icy--melly vs Nina 2–1 66.67%
so--icy--melly vs Victor 1–2 33.33%
so--icy--melly vs Eddy 2–1 66.67%
so--icy--melly vs Kazuya 2–0 100.00%
so--icy--melly vs Lili 0–2 0.00%
so--icy--melly vs Lars 2–0 100.00%
so--icy--melly vs Kuma 0–2 0.00%
so--icy--melly vs Reina 2–0 100.00%
so--icy--melly vs Armor King 0–2 0.00%
so--icy--melly vs Leroy 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.