Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

fastfood vs King 16–22 42.11%
fastfood vs Jin 15–10 60.00%
fastfood vs Bryan 6–16 27.27%
fastfood vs Kazuya 6–10 37.50%
fastfood vs Reina 4–12 25.00%
fastfood vs Anna 8–6 57.14%
fastfood vs Lidia 7–6 53.85%
fastfood vs Asuka 5–7 41.67%
fastfood vs Steve 4–7 36.36%
fastfood vs Lee 5–6 45.45%
fastfood vs Dragunov 7–3 70.00%
fastfood vs Clive 5–5 50.00%
fastfood vs Lili 5–4 55.56%
fastfood vs Lars 2–7 22.22%
fastfood vs Hwoarang 6–2 75.00%
fastfood vs Shaheen 3–5 37.50%
fastfood vs Eddy 3–5 37.50%
fastfood vs Yoshimitsu 2–5 28.57%
fastfood vs Raven 4–3 57.14%
fastfood vs Jack-8 2–4 33.33%
fastfood vs Heihachi 3–3 50.00%
fastfood vs Law 1–4 20.00%
fastfood vs Leo 2–3 40.00%
fastfood vs Kuma 2–3 40.00%
fastfood vs Victor 1–4 20.00%
fastfood vs Paul 0–4 0.00%
fastfood vs Devil Jin 2–2 50.00%
fastfood vs Xiaoyu 0–3 0.00%
fastfood vs Claudio 1–2 33.33%
fastfood vs Nina 3–0 100.00%
fastfood vs Jun 0–3 0.00%
fastfood vs Leroy 0–2 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.