Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Faker vs Bin vs Reina 4–9 30.77%
Faker vs Bin vs King 2–8 20.00%
Faker vs Bin vs Kazuya 3–7 30.00%
Faker vs Bin vs Steve 1–9 10.00%
Faker vs Bin vs Leo 2–6 25.00%
Faker vs Bin vs Victor 2–6 25.00%
Faker vs Bin vs Jin 5–2 71.43%
Faker vs Bin vs Dragunov 0–6 0.00%
Faker vs Bin vs Lee 2–4 33.33%
Faker vs Bin vs Azucena 1–5 16.67%
Faker vs Bin vs Eddy 0–6 0.00%
Faker vs Bin vs Claudio 2–3 40.00%
Faker vs Bin vs Paul 0–4 0.00%
Faker vs Bin vs Devil Jin 1–3 25.00%
Faker vs Bin vs Lili 0–4 0.00%
Faker vs Bin vs Alisa 0–4 0.00%
Faker vs Bin vs Hwoarang 1–2 33.33%
Faker vs Bin vs Xiaoyu 0–3 0.00%
Faker vs Bin vs Shaheen 1–2 33.33%
Faker vs Bin vs Kuma 0–3 0.00%
Faker vs Bin vs Raven 1–2 33.33%
Faker vs Bin vs Yoshimitsu 0–2 0.00%
Faker vs Bin vs Asuka 1–1 50.00%
Faker vs Bin vs Lars 2–0 100.00%
Faker vs Bin vs Nina 0–2 0.00%
Faker vs Bin vs Panda 0–2 0.00%
Faker vs Bin vs Law 0–1 0.00%
Faker vs Bin vs Jun 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.