Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

oongs vs Kazuya 18–16 52.94%
oongs vs Paul 16–12 57.14%
oongs vs Dragunov 10–17 37.04%
oongs vs King 11–11 50.00%
oongs vs Bryan 11–11 50.00%
oongs vs Law 8–10 44.44%
oongs vs Jin 11–6 64.71%
oongs vs Reina 6–7 46.15%
oongs vs Asuka 6–6 50.00%
oongs vs Heihachi 4–8 33.33%
oongs vs Steve 6–5 54.55%
oongs vs Lili 7–3 70.00%
oongs vs Fahkumram 2–7 22.22%
oongs vs Lars 3–4 42.86%
oongs vs Jun 3–4 42.86%
oongs vs Armor King 1–6 14.29%
oongs vs Alisa 1–5 16.67%
oongs vs Zafina 4–2 66.67%
oongs vs Lee 1–4 20.00%
oongs vs Leroy 1–4 20.00%
oongs vs Victor 2–3 40.00%
oongs vs Anna 2–3 40.00%
oongs vs Claudio 2–2 50.00%
oongs vs Lidia 2–2 50.00%
oongs vs Clive 2–2 50.00%
oongs vs Hwoarang 1–2 33.33%
oongs vs Yoshimitsu 0–2 0.00%
oongs vs Devil Jin 2–0 100.00%
oongs vs Feng 0–2 0.00%
oongs vs Leo 2–0 100.00%
oongs vs Panda 2–0 100.00%
oongs vs Xiaoyu 0–1 0.00%
oongs vs Shaheen 0–1 0.00%
oongs vs Nina 1–0 100.00%
oongs vs Eddy 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.