Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

SuspiciousMilk vs Armor King 8–10 44.44%
SuspiciousMilk vs King 5–11 31.25%
SuspiciousMilk vs Hwoarang 4–4 50.00%
SuspiciousMilk vs Lili 4–3 57.14%
SuspiciousMilk vs Reina 2–5 28.57%
SuspiciousMilk vs Azucena 4–2 66.67%
SuspiciousMilk vs Xiaoyu 3–2 60.00%
SuspiciousMilk vs Kazuya 2–3 40.00%
SuspiciousMilk vs Steve 4–1 80.00%
SuspiciousMilk vs Asuka 1–3–1 25.00%
SuspiciousMilk vs Law 1–3 25.00%
SuspiciousMilk vs Jin 1–3 25.00%
SuspiciousMilk vs Fahkumram 2–2 50.00%
SuspiciousMilk vs Yoshimitsu 0–3 0.00%
SuspiciousMilk vs Dragunov 2–1 66.67%
SuspiciousMilk vs Lidia 2–1 66.67%
SuspiciousMilk vs Heihachi 2–1 66.67%
SuspiciousMilk vs Leo 1–1 50.00%
SuspiciousMilk vs Lars 2–0 100.00%
SuspiciousMilk vs Shaheen 0–2 0.00%
SuspiciousMilk vs Kuma 1–1 50.00%
SuspiciousMilk vs Zafina 1–1 50.00%
SuspiciousMilk vs Leroy 1–1 50.00%
SuspiciousMilk vs Eddy 2–0 100.00%
SuspiciousMilk vs Clive 0–2 0.00%
SuspiciousMilk vs Anna 2–0 100.00%
SuspiciousMilk vs Paul 0–1 0.00%
SuspiciousMilk vs Bryan 1–0 100.00%
SuspiciousMilk vs Devil Jin 1–0 100.00%
SuspiciousMilk vs Feng 1–0 100.00%
SuspiciousMilk vs Claudio 0–1 0.00%
SuspiciousMilk vs Nina 0–1 0.00%
SuspiciousMilk vs Jun 1–0 100.00%
SuspiciousMilk vs Victor 0–1 0.00%
SuspiciousMilk vs Raven 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.