Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

fafa vs Kazuya 13–26 33.33%
fafa vs Reina 16–22 42.11%
fafa vs Lili 14–22 38.89%
fafa vs King 7–24 22.58%
fafa vs Jin 7–23 23.33%
fafa vs Paul 2–27 6.90%
fafa vs Bryan 5–19 20.83%
fafa vs Dragunov 9–15 37.50%
fafa vs Asuka 6–16 27.27%
fafa vs Victor 4–14 22.22%
fafa vs Law 5–11 31.25%
fafa vs Hwoarang 3–13 18.75%
fafa vs Steve 6–10 37.50%
fafa vs Jun 2–14 12.50%
fafa vs Heihachi 2–14 12.50%
fafa vs Alisa 5–8 38.46%
fafa vs Nina 2–11 15.38%
fafa vs Leo 0–11 0.00%
fafa vs Devil Jin 2–8 20.00%
fafa vs Leroy 3–7 30.00%
fafa vs Lars 1–8 11.11%
fafa vs Lee 1–8 11.11%
fafa vs Eddy 1–8 11.11%
fafa vs Yoshimitsu 1–7 12.50%
fafa vs Xiaoyu 1–5 16.67%
fafa vs Azucena 1–5 16.67%
fafa vs Feng 3–2 60.00%
fafa vs Kuma 1–4 20.00%
fafa vs Zafina 1–4 20.00%
fafa vs Raven 2–2 50.00%
fafa vs Claudio 0–3 0.00%
fafa vs Panda 1–2 33.33%
fafa vs Jack-8 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.