Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
LosersPlayNina

Ratings

LosersPlayNina vs Lidia 6–5 54.55%
LosersPlayNina vs Kazuya 6–4 60.00%
LosersPlayNina vs Nina 4–5 44.44%
LosersPlayNina vs Law 3–4 42.86%
LosersPlayNina vs Jin 4–3 57.14%
LosersPlayNina vs King 3–4 42.86%
LosersPlayNina vs Asuka 2–4 33.33%
LosersPlayNina vs Paul 2–3 40.00%
LosersPlayNina vs Bryan 2–3 40.00%
LosersPlayNina vs Devil Jin 0–5 0.00%
LosersPlayNina vs Jun 4–1 80.00%
LosersPlayNina vs Shaheen 2–2 50.00%
LosersPlayNina vs Azucena 2–2 50.00%
LosersPlayNina vs Steve 4–0 100.00%
LosersPlayNina vs Dragunov 3–0 100.00%
LosersPlayNina vs Lars 0–3 0.00%
LosersPlayNina vs Heihachi 2–1 66.67%
LosersPlayNina vs Eddy 2–1 66.67%
LosersPlayNina vs Yoshimitsu 2–0 100.00%
LosersPlayNina vs Jack-8 0–2 0.00%
LosersPlayNina vs Lili 0–2 0.00%
LosersPlayNina vs Lee 0–2 0.00%
LosersPlayNina vs Kuma 2–0 100.00%
LosersPlayNina vs Leo 1–0 100.00%
LosersPlayNina vs Alisa 1–0 100.00%
LosersPlayNina vs Reina 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.