Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

DANZILLA vs Kazuya 110–72 60.44%
DANZILLA vs Bryan 93–62 60.00%
DANZILLA vs Jin 76–77 49.67%
DANZILLA vs Heihachi 69–53 56.56%
DANZILLA vs Hwoarang 70–46 60.34%
DANZILLA vs Reina 53–46 53.54%
DANZILLA vs King 57–37 60.64%
DANZILLA vs Steve 52–36 59.09%
DANZILLA vs Law 51–31 62.20%
DANZILLA vs Lili 42–38 52.50%
DANZILLA vs Dragunov 27–46 36.99%
DANZILLA vs Armor King 34–37 47.89%
DANZILLA vs Devil Jin 36–28 56.25%
DANZILLA vs Paul 30–33 47.62%
DANZILLA vs Lee 29–27 51.79%
DANZILLA vs Jun 35–16 68.63%
DANZILLA vs Nina 35–14 71.43%
DANZILLA vs Xiaoyu 31–17 64.58%
DANZILLA vs Yoshimitsu 32–15 68.09%
DANZILLA vs Miary Zo 19–28 40.43%
DANZILLA vs Eddy 30–16 65.22%
DANZILLA vs Clive 24–18 57.14%
DANZILLA vs Fahkumram 23–19 54.76%
DANZILLA vs Alisa 19–22 46.34%
DANZILLA vs Raven 10–31 24.39%
DANZILLA vs Azucena 22–18 55.00%
DANZILLA vs Asuka 18–21 46.15%
DANZILLA vs Victor 23–15 60.53%
DANZILLA vs Lidia 24–12 66.67%
DANZILLA vs Lars 21–13 61.76%
DANZILLA vs Anna 12–21 36.36%
DANZILLA vs Feng 12–20 37.50%
DANZILLA vs Leroy 15–16 48.39%
DANZILLA vs Jack-8 14–14 50.00%
DANZILLA vs Claudio 10–10 50.00%
DANZILLA vs Zafina 9–9 50.00%
DANZILLA vs Kuma 11–6 64.71%
DANZILLA vs Leo 7–9 43.75%
DANZILLA vs Shaheen 6–6 50.00%
DANZILLA vs Panda 0–9 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.