Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Toaster vs Heihachi 9–6 60.00%
Toaster vs King 4–9 30.77%
Toaster vs Jin 5–8 38.46%
Toaster vs Dragunov 4–8 33.33%
Toaster vs Kazuya 6–5 54.55%
Toaster vs Eddy 3–8 27.27%
Toaster vs Steve 6–4 60.00%
Toaster vs Lili 4–5 44.44%
Toaster vs Reina 4–5 44.44%
Toaster vs Law 3–4 42.86%
Toaster vs Bryan 1–5 16.67%
Toaster vs Lars 3–3 50.00%
Toaster vs Lee 2–4 33.33%
Toaster vs Azucena 3–3 50.00%
Toaster vs Hwoarang 2–3 40.00%
Toaster vs Jun 2–2 50.00%
Toaster vs Victor 0–4 0.00%
Toaster vs Paul 0–3 0.00%
Toaster vs Yoshimitsu 3–0 100.00%
Toaster vs Alisa 2–1 66.67%
Toaster vs Shaheen 2–1 66.67%
Toaster vs Raven 0–3 0.00%
Toaster vs Xiaoyu 0–2 0.00%
Toaster vs Asuka 0–2 0.00%
Toaster vs Feng 0–2 0.00%
Toaster vs Leo 0–2 0.00%
Toaster vs Kuma 0–2 0.00%
Toaster vs Panda 0–2 0.00%
Toaster vs Nina 0–1 0.00%
Toaster vs Leroy 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.