Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Novice_Achiever vs Kazuya 3–8 27.27%
Novice_Achiever vs King 0–10 0.00%
Novice_Achiever vs Jun 4–6 40.00%
Novice_Achiever vs Dragunov 2–7 22.22%
Novice_Achiever vs Devil Jin 0–6 0.00%
Novice_Achiever vs Xiaoyu 2–3 40.00%
Novice_Achiever vs Lidia 1–4 20.00%
Novice_Achiever vs Law 0–4 0.00%
Novice_Achiever vs Lili 0–4 0.00%
Novice_Achiever vs Reina 0–4 0.00%
Novice_Achiever vs Azucena 2–2 50.00%
Novice_Achiever vs Victor 0–4 0.00%
Novice_Achiever vs Hwoarang 1–2 33.33%
Novice_Achiever vs Jin 0–3 0.00%
Novice_Achiever vs Kuma 2–1 66.67%
Novice_Achiever vs Bryan 0–2 0.00%
Novice_Achiever vs Steve 0–2 0.00%
Novice_Achiever vs Jack-8 0–2 0.00%
Novice_Achiever vs Lee 0–2 0.00%
Novice_Achiever vs Panda 2–0 100.00%
Novice_Achiever vs Zafina 0–2 0.00%
Novice_Achiever vs Paul 0–2 0.00%
Novice_Achiever vs Yoshimitsu 0–2 0.00%
Novice_Achiever vs Feng 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.