Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

casamigos vs King 19–39 32.76%
casamigos vs Jin 27–31 46.55%
casamigos vs Steve 22–17 56.41%
casamigos vs Reina 11–24 31.43%
casamigos vs Law 11–23 32.35%
casamigos vs Kazuya 9–23 28.12%
casamigos vs Hwoarang 14–17 45.16%
casamigos vs Jun 11–19 36.67%
casamigos vs Lee 13–15 46.43%
casamigos vs Clive 11–17 39.29%
casamigos vs Azucena 11–14 44.00%
casamigos vs Dragunov 6–18 25.00%
casamigos vs Heihachi 7–17 29.17%
casamigos vs Lidia 15–8 65.22%
casamigos vs Yoshimitsu 9–12 42.86%
casamigos vs Lars 5–16 23.81%
casamigos vs Bryan 7–13 35.00%
casamigos vs Asuka 10–9 52.63%
casamigos vs Lili 4–14 22.22%
casamigos vs Zafina 8–8 50.00%
casamigos vs Victor 9–7 56.25%
casamigos vs Eddy 2–12 14.29%
casamigos vs Xiaoyu 6–7 46.15%
casamigos vs Jack-8 8–5 61.54%
casamigos vs Devil Jin 5–8 38.46%
casamigos vs Paul 3–8 27.27%
casamigos vs Feng 5–5 50.00%
casamigos vs Miary Zo 4–6 40.00%
casamigos vs Nina 5–4 55.56%
casamigos vs Fahkumram 3–6 33.33%
casamigos vs Claudio 7–1 87.50%
casamigos vs Leroy 2–6 25.00%
casamigos vs Leo 3–4 42.86%
casamigos vs Alisa 2–5 28.57%
casamigos vs Raven 3–4 42.86%
casamigos vs Anna 4–2 66.67%
casamigos vs Kuma 1–4 20.00%
casamigos vs Shaheen 2–2 50.00%
casamigos vs Armor King 4–0 100.00%
casamigos vs Panda 1–1 50.00%

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.