Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

u suck nga vs Miary Zo 10–0 100.00%
u suck nga vs Hwoarang 7–2 77.78%
u suck nga vs Kazuya 4–3 57.14%
u suck nga vs Leroy 3–4 42.86%
u suck nga vs Reina 6–0 100.00%
u suck nga vs King 4–0 100.00%
u suck nga vs Jin 4–0 100.00%
u suck nga vs Steve 4–0 100.00%
u suck nga vs Lili 4–0 100.00%
u suck nga vs Alisa 3–1 75.00%
u suck nga vs Victor 4–0 100.00%
u suck nga vs Nina 3–0 100.00%
u suck nga vs Paul 2–0 100.00%
u suck nga vs Law 1–1 50.00%
u suck nga vs Bryan 2–0 100.00%
u suck nga vs Asuka 2–0 100.00%
u suck nga vs Devil Jin 2–0 100.00%
u suck nga vs Leo 2–0 100.00%
u suck nga vs Eddy 2–0 100.00%
u suck nga vs Armor King 2–0 100.00%
u suck nga vs Yoshimitsu 1–0 100.00%
u suck nga vs Feng 1–0 100.00%
u suck nga vs Lars 1–0 100.00%
u suck nga vs Lee 1–0 100.00%
u suck nga vs Azucena 1–0 100.00%
u suck nga vs Clive 1–0 100.00%
u suck nga vs Fahkumram 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.