Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Fizzics
BeanToast
Fizzics vs Reina 22–18 55.00%
Fizzics vs King 16–15 51.61%
Fizzics vs Steve 12–11 52.17%
Fizzics vs Azucena 13–9 59.09%
Fizzics vs Xiaoyu 7–8 46.67%
Fizzics vs Law 7–7 50.00%
Fizzics vs Leroy 3–10 23.08%
Fizzics vs Hwoarang 7–5 58.33%
Fizzics vs Kuma 6–5 54.55%
Fizzics vs Paul 3–7 30.00%
Fizzics vs Jin 2–8 20.00%
Fizzics vs Lili 5–5 50.00%
Fizzics vs Jun 8–2 80.00%
Fizzics vs Victor 2–8 20.00%
Fizzics vs Kazuya 6–3 66.67%
Fizzics vs Leo 1–8 11.11%
Fizzics vs Yoshimitsu 4–4 50.00%
Fizzics vs Bryan 2–6 25.00%
Fizzics vs Feng 5–3 62.50%
Fizzics vs Lars 5–3 62.50%
Fizzics vs Eddy 2–6 25.00%
Fizzics vs Asuka 4–3 57.14%
Fizzics vs Devil Jin 2–3 40.00%
Fizzics vs Dragunov 2–3 40.00%
Fizzics vs Alisa 4–1 80.00%
Fizzics vs Claudio 2–2 50.00%
Fizzics vs Shaheen 2–2 50.00%
Fizzics vs Jack-8 1–2 33.33%
Fizzics vs Zafina 3–0 100.00%
Fizzics vs Panda 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.