Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

geafelor vs Miary Zo 20–3 86.96%
geafelor vs Reina 17–3 85.00%
geafelor vs Jin 15–4 78.95%
geafelor vs Kazuya 16–2 88.89%
geafelor vs Lili 16–1 94.12%
geafelor vs Azucena 17–0 100.00%
geafelor vs Law 16–0 100.00%
geafelor vs Steve 14–2 87.50%
geafelor vs Dragunov 13–1 92.86%
geafelor vs Hwoarang 10–2 83.33%
geafelor vs Alisa 11–1 91.67%
geafelor vs Victor 12–0 100.00%
geafelor vs Nina 6–5 54.55%
geafelor vs Paul 7–2 77.78%
geafelor vs Bryan 8–1 88.89%
geafelor vs Lars 6–3 66.67%
geafelor vs Heihachi 7–2 77.78%
geafelor vs Leroy 6–2 75.00%
geafelor vs Lidia 5–3 62.50%
geafelor vs Jun 6–0 100.00%
geafelor vs King 5–0 100.00%
geafelor vs Devil Jin 5–0 100.00%
geafelor vs Feng 4–1 80.00%
geafelor vs Shaheen 4–1 80.00%
geafelor vs Raven 2–2 50.00%
geafelor vs Claudio 3–0 100.00%
geafelor vs Kuma 3–0 100.00%
geafelor vs Eddy 3–0 100.00%
geafelor vs Clive 3–0 100.00%
geafelor vs Fahkumram 2–1 66.67%
geafelor vs Asuka 0–2 0.00%
geafelor vs Lee 2–0 100.00%
geafelor vs Anna 2–0 100.00%
geafelor vs Yoshimitsu 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.