Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

chapter256
noodlepantseli
chapter256 vs King 46–62 42.59%
chapter256 vs Reina 46–59 43.81%
chapter256 vs Jin 34–61 35.79%
chapter256 vs Kazuya 47–40 54.02%
chapter256 vs Eddy 11–56 16.42%
chapter256 vs Steve 26–40 39.39%
chapter256 vs Bryan 20–34 37.04%
chapter256 vs Dragunov 21–28 42.86%
chapter256 vs Jun 20–23 46.51%
chapter256 vs Hwoarang 16–24 40.00%
chapter256 vs Asuka 14–26 35.00%
chapter256 vs Yoshimitsu 21–17 55.26%
chapter256 vs Lili 14–22 38.89%
chapter256 vs Lars 14–22 38.89%
chapter256 vs Nina 15–21 41.67%
chapter256 vs Azucena 17–19 47.22%
chapter256 vs Victor 10–25 28.57%
chapter256 vs Paul 10–23 30.30%
chapter256 vs Heihachi 15–18 45.45%
chapter256 vs Law 12–20 37.50%
chapter256 vs Lee 10–20 33.33%
chapter256 vs Feng 9–19 32.14%
chapter256 vs Alisa 10–18 35.71%
chapter256 vs Clive 12–14 46.15%
chapter256 vs Xiaoyu 10–14 41.67%
chapter256 vs Devil Jin 10–14 41.67%
chapter256 vs Leo 9–15 37.50%
chapter256 vs Leroy 10–12 45.45%
chapter256 vs Claudio 12–8 60.00%
chapter256 vs Raven 9–7 56.25%
chapter256 vs Jack-8 6–9 40.00%
chapter256 vs Kuma 6–9 40.00%
chapter256 vs Shaheen 5–5 50.00%
chapter256 vs Zafina 2–7 22.22%
chapter256 vs Lidia 4–5 44.44%
chapter256 vs Panda 0–4 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.