Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Fattskillz vs King 20–27 42.55%
Fattskillz vs Jin 18–21 46.15%
Fattskillz vs Steve 14–12 53.85%
Fattskillz vs Hwoarang 13–11 54.17%
Fattskillz vs Asuka 9–12 42.86%
Fattskillz vs Xiaoyu 11–8 57.89%
Fattskillz vs Bryan 6–13 31.58%
Fattskillz vs Dragunov 8–11 42.11%
Fattskillz vs Armor King 8–10 44.44%
Fattskillz vs Yoshimitsu 10–6 62.50%
Fattskillz vs Jun 8–8 50.00%
Fattskillz vs Reina 9–7 56.25%
Fattskillz vs Lidia 8–8 50.00%
Fattskillz vs Nina 9–6 60.00%
Fattskillz vs Azucena 7–8 46.67%
Fattskillz vs Eddy 5–10 33.33%
Fattskillz vs Kazuya 6–7 46.15%
Fattskillz vs Lili 1–12 7.69%
Fattskillz vs Alisa 7–5 58.33%
Fattskillz vs Leroy 8–4 66.67%
Fattskillz vs Paul 3–8 27.27%
Fattskillz vs Lee 10–1 90.91%
Fattskillz vs Heihachi 5–6 45.45%
Fattskillz vs Law 6–4 60.00%
Fattskillz vs Raven 7–3 70.00%
Fattskillz vs Fahkumram 6–4 60.00%
Fattskillz vs Victor 4–5 44.44%
Fattskillz vs Clive 3–6 33.33%
Fattskillz vs Jack-8 3–5 37.50%
Fattskillz vs Panda 4–4 50.00%
Fattskillz vs Feng 5–2 71.43%
Fattskillz vs Lars 2–5 28.57%
Fattskillz vs Leo 4–2 66.67%
Fattskillz vs Zafina 4–1 80.00%
Fattskillz vs Anna 1–4 20.00%
Fattskillz vs Devil Jin 2–2 50.00%
Fattskillz vs Claudio 4–0 100.00%
Fattskillz vs Miary Zo 2–1 66.67%
Fattskillz vs Shaheen 2–0 100.00%

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.