Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Obese Walrus vs Kazuya 15–15 50.00%
Obese Walrus vs Jin 14–14 50.00%
Obese Walrus vs Steve 12–16 42.86%
Obese Walrus vs Bryan 7–15 31.82%
Obese Walrus vs Hwoarang 7–14 33.33%
Obese Walrus vs Clive 11–8 57.89%
Obese Walrus vs Law 8–10 44.44%
Obese Walrus vs Asuka 6–12 33.33%
Obese Walrus vs Dragunov 13–5 72.22%
Obese Walrus vs Reina 9–8 52.94%
Obese Walrus vs Jun 8–8 50.00%
Obese Walrus vs Heihachi 7–9 43.75%
Obese Walrus vs King 10–5 66.67%
Obese Walrus vs Azucena 10–5 66.67%
Obese Walrus vs Paul 4–9 30.77%
Obese Walrus vs Alisa 9–3 75.00%
Obese Walrus vs Eddy 4–7 36.36%
Obese Walrus vs Yoshimitsu 4–6 40.00%
Obese Walrus vs Xiaoyu 5–5 50.00%
Obese Walrus vs Feng 6–4 60.00%
Obese Walrus vs Lili 8–2 80.00%
Obese Walrus vs Lars 5–4 55.56%
Obese Walrus vs Victor 3–6 33.33%
Obese Walrus vs Lee 2–5 28.57%
Obese Walrus vs Devil Jin 3–3 50.00%
Obese Walrus vs Leo 2–4 33.33%
Obese Walrus vs Anna 4–2 66.67%
Obese Walrus vs Claudio 1–4 20.00%
Obese Walrus vs Nina 2–3 40.00%
Obese Walrus vs Zafina 4–1 80.00%
Obese Walrus vs Lidia 3–2 60.00%
Obese Walrus vs Fahkumram 1–4 20.00%
Obese Walrus vs Jack-8 2–2 50.00%
Obese Walrus vs Raven 3–1 75.00%
Obese Walrus vs Panda 2–1 66.67%
Obese Walrus vs Shaheen 2–0 100.00%
Obese Walrus 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.