Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Filthymonkey vs King 16–10 61.54%
Filthymonkey vs Hwoarang 9–17 34.62%
Filthymonkey vs Lee 10–12 45.45%
Filthymonkey vs Clive 6–13 31.58%
Filthymonkey vs Victor 9–9 50.00%
Filthymonkey vs Law 6–10 37.50%
Filthymonkey vs Dragunov 7–9 43.75%
Filthymonkey vs Jun 6–10 37.50%
Filthymonkey vs Nina 8–7 53.33%
Filthymonkey vs Jin 8–6 57.14%
Filthymonkey vs Reina 4–10 28.57%
Filthymonkey vs Miary Zo 3–10 23.08%
Filthymonkey vs Steve 9–3 75.00%
Filthymonkey vs Bryan 4–6 40.00%
Filthymonkey vs Kazuya 7–3 70.00%
Filthymonkey vs Lili 5–5 50.00%
Filthymonkey vs Paul 4–5 44.44%
Filthymonkey vs Yoshimitsu 7–2 77.78%
Filthymonkey vs Asuka 4–4 50.00%
Filthymonkey vs Devil Jin 4–4 50.00%
Filthymonkey vs Eddy 4–4 50.00%
Filthymonkey vs Jack-8 5–2 71.43%
Filthymonkey vs Feng 6–1 85.71%
Filthymonkey vs Leo 3–4 42.86%
Filthymonkey vs Azucena 3–4 42.86%
Filthymonkey vs Claudio 3–2 60.00%
Filthymonkey vs Leroy 4–1 80.00%
Filthymonkey vs Armor King 3–2 60.00%
Filthymonkey vs Anna 1–3 25.00%
Filthymonkey vs Xiaoyu 2–1 66.67%
Filthymonkey vs Lars 3–0 100.00%
Filthymonkey vs Raven 0–3 0.00%
Filthymonkey vs Lidia 3–0 100.00%
Filthymonkey vs Panda 0–2 0.00%
Filthymonkey vs Fahkumram 2–0 100.00%
Filthymonkey vs Alisa 1–0 100.00%
Filthymonkey vs Kuma 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.