Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Oomz vs Kazuya 9–5 64.29%
Oomz vs Eddy 6–7 46.15%
Oomz vs Reina 5–4 55.56%
Oomz vs Azucena 5–4 55.56%
Oomz vs Hwoarang 3–5 37.50%
Oomz vs Bryan 5–3 62.50%
Oomz vs Paul 2–4 33.33%
Oomz vs King 2–4 33.33%
Oomz vs Jin 3–3 50.00%
Oomz vs Victor 3–3 50.00%
Oomz vs Steve 4–1 80.00%
Oomz vs Lars 1–4 20.00%
Oomz vs Law 2–2 50.00%
Oomz vs Yoshimitsu 3–1 75.00%
Oomz vs Asuka 2–2 50.00%
Oomz vs Lili 3–1 75.00%
Oomz vs Dragunov 3–1 75.00%
Oomz vs Xiaoyu 3–0 100.00%
Oomz vs Devil Jin 1–2 33.33%
Oomz vs Alisa 3–0 100.00%
Oomz vs Nina 1–2 33.33%
Oomz vs Lee 1–2 33.33%
Oomz vs Feng 1–1 50.00%
Oomz vs Claudio 1–1 50.00%
Oomz vs Jun 2–0 100.00%
Oomz vs Leo 1–0 100.00%
Oomz vs Shaheen 1–0 100.00%
Oomz vs Kuma 0–1 0.00%
Oomz vs Leroy 1–0 100.00%
Oomz vs Raven 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.