Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

sush0niy vs Jin 129–85–1 60.28%
sush0niy vs King 69–82 45.70%
sush0niy vs Hwoarang 62–73 45.93%
sush0niy vs Bryan 74–61 54.81%
sush0niy vs Kazuya 58–61 48.74%
sush0niy vs Reina 74–39 65.49%
sush0niy vs Dragunov 49–56 46.67%
sush0niy vs Steve 53–47 53.00%
sush0niy vs Devil Jin 51–47 52.04%
sush0niy vs Lee 47–47 50.00%
sush0niy vs Paul 41–46 47.13%
sush0niy vs Heihachi 47–37 55.95%
sush0niy vs Lars 36–34 51.43%
sush0niy vs Alisa 40–30 57.14%
sush0niy vs Yoshimitsu 42–26 61.76%
sush0niy vs Feng 32–31 50.79%
sush0niy vs Nina 28–29 49.12%
sush0niy vs Jun 27–29 48.21%
sush0niy vs Asuka 33–21 61.11%
sush0niy vs Law 24–29 45.28%
sush0niy vs Jack-8 16–34 32.00%
sush0niy vs Azucena 28–20 58.33%
sush0niy vs Lili 21–23 47.73%
sush0niy vs Leroy 33–9 78.57%
sush0niy vs Lidia 21–21 50.00%
sush0niy vs Leo 25–16 60.98%
sush0niy vs Raven 16–19 45.71%
sush0niy vs Xiaoyu 16–18 47.06%
sush0niy vs Claudio 20–14 58.82%
sush0niy vs Shaheen 11–21 34.38%
sush0niy vs Eddy 15–14 51.72%
sush0niy vs Victor 10–17 37.04%
sush0niy vs Zafina 10–12 45.45%
sush0niy vs Armor King 9–13 40.91%
sush0niy vs Kuma 11–9 55.00%
sush0niy vs Clive 2–15 11.76%
sush0niy vs Fahkumram 6–7 46.15%
sush0niy vs Anna 5–6 45.45%
sush0niy vs Miary Zo 8–2 80.00%
sush0niy vs Panda 2–2 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.