Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

¯\_(ツ)_/¯ vs King 68–72 48.57%
¯\_(ツ)_/¯ vs Kazuya 55–61 47.41%
¯\_(ツ)_/¯ vs Jin 54–56 49.09%
¯\_(ツ)_/¯ vs Reina 45–48 48.39%
¯\_(ツ)_/¯ vs Hwoarang 33–44 42.86%
¯\_(ツ)_/¯ vs Bryan 23–53 30.26%
¯\_(ツ)_/¯ vs Law 29–44 39.73%
¯\_(ツ)_/¯ vs Heihachi 29–40 42.03%
¯\_(ツ)_/¯ vs Steve 38–30 55.88%
¯\_(ツ)_/¯ vs Dragunov 31–36 46.27%
¯\_(ツ)_/¯ vs Lidia 25–37 40.32%
¯\_(ツ)_/¯ vs Lili 23–34 40.35%
¯\_(ツ)_/¯ vs Yoshimitsu 29–27 51.79%
¯\_(ツ)_/¯ vs Lee 26–30 46.43%
¯\_(ツ)_/¯ vs Armor King 20–35 36.36%
¯\_(ツ)_/¯ vs Paul 20–29 40.82%
¯\_(ツ)_/¯ vs Jun 29–18 61.70%
¯\_(ツ)_/¯ vs Azucena 19–28 40.43%
¯\_(ツ)_/¯ vs Victor 18–25 41.86%
¯\_(ツ)_/¯ vs Fahkumram 26–16 61.90%
¯\_(ツ)_/¯ vs Eddy 13–20 39.39%
¯\_(ツ)_/¯ vs Asuka 16–16 50.00%
¯\_(ツ)_/¯ vs Nina 12–19 38.71%
¯\_(ツ)_/¯ vs Feng 15–15 50.00%
¯\_(ツ)_/¯ vs Lars 14–15 48.28%
¯\_(ツ)_/¯ vs Claudio 15–14 51.72%
¯\_(ツ)_/¯ vs Devil Jin 16–12 57.14%
¯\_(ツ)_/¯ vs Leroy 10–17 37.04%
¯\_(ツ)_/¯ vs Xiaoyu 16–8 66.67%
¯\_(ツ)_/¯ vs Clive 11–13 45.83%
¯\_(ツ)_/¯ vs Alisa 11–9 55.00%
¯\_(ツ)_/¯ vs Anna 7–12 36.84%
¯\_(ツ)_/¯ vs Jack-8 7–6 53.85%
¯\_(ツ)_/¯ vs Shaheen 2–10 16.67%
¯\_(ツ)_/¯ vs Kuma 4–6 40.00%
¯\_(ツ)_/¯ vs Leo 6–3 66.67%
¯\_(ツ)_/¯ vs Zafina 3–5 37.50%
¯\_(ツ)_/¯ vs Raven 3–5 37.50%
¯\_(ツ)_/¯ vs Miary Zo 4–2 66.67%
¯\_(ツ)_/¯ vs Panda 0–3 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.