Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Mad_City_33hz vs Jun 2–6 25.00%
Mad_City_33hz vs Hwoarang 4–3 57.14%
Mad_City_33hz vs Jin 3–4 42.86%
Mad_City_33hz vs Kuma 2–3 40.00%
Mad_City_33hz vs Eddy 1–4 20.00%
Mad_City_33hz vs Yoshimitsu 2–2 50.00%
Mad_City_33hz vs Asuka 0–4 0.00%
Mad_City_33hz vs Devil Jin 0–4 0.00%
Mad_City_33hz vs Lars 2–2 50.00%
Mad_City_33hz vs Bryan 1–2 33.33%
Mad_City_33hz vs King 2–1 66.67%
Mad_City_33hz vs Kazuya 1–2 33.33%
Mad_City_33hz vs Nina 2–1 66.67%
Mad_City_33hz vs Lee 1–2 33.33%
Mad_City_33hz vs Raven 2–1 66.67%
Mad_City_33hz vs Dragunov 0–2 0.00%
Mad_City_33hz vs Shaheen 2–0 100.00%
Mad_City_33hz vs Paul 0–2 0.00%
Mad_City_33hz vs Leroy 2–0 100.00%
Mad_City_33hz vs Law 0–1 0.00%
Mad_City_33hz vs Feng 0–1 0.00%
Mad_City_33hz vs Lili 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.