Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Wafel vs King 13–4 76.47%
Wafel vs Jun 6–9 40.00%
Wafel vs Dragunov 5–8 38.46%
Wafel vs Hwoarang 9–3 75.00%
Wafel vs Yoshimitsu 5–6 45.45%
Wafel vs Azucena 7–4 63.64%
Wafel vs Bryan 1–9 10.00%
Wafel vs Jin 4–5 44.44%
Wafel vs Steve 6–3 66.67%
Wafel vs Reina 8–1 88.89%
Wafel vs Law 5–3 62.50%
Wafel vs Lili 5–3 62.50%
Wafel vs Asuka 3–4 42.86%
Wafel vs Leo 3–4 42.86%
Wafel vs Kuma 3–4 42.86%
Wafel vs Eddy 3–4 42.86%
Wafel vs Kazuya 3–3 50.00%
Wafel vs Lee 4–2 66.67%
Wafel vs Feng 3–2 60.00%
Wafel vs Nina 4–1 80.00%
Wafel vs Lidia 2–3 40.00%
Wafel vs Lars 4–0 100.00%
Wafel vs Claudio 3–1 75.00%
Wafel vs Shaheen 4–0 100.00%
Wafel vs Panda 3–1 75.00%
Wafel vs Devil Jin 2–1 66.67%
Wafel vs Raven 2–1 66.67%
Wafel vs Xiaoyu 2–0 100.00%
Wafel vs Leroy 2–0 100.00%
Wafel vs Victor 1–1 50.00%
Wafel vs Anna 0–2 0.00%
Wafel vs Paul 0–1 0.00%
Wafel vs Alisa 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.