Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Voracity vs King 74–85 46.54%
Voracity vs Kazuya 67–89 42.95%
Voracity vs Jin 55–65 45.83%
Voracity vs Bryan 47–67 41.23%
Voracity vs Steve 69–35 66.35%
Voracity vs Armor King 48–53 47.52%
Voracity vs Law 47–49 48.96%
Voracity vs Hwoarang 46–50 47.92%
Voracity vs Lee 43–50 46.24%
Voracity vs Dragunov 59–33 64.13%
Voracity vs Reina 45–46 49.45%
Voracity vs Fahkumram 42–45 48.28%
Voracity vs Lars 38–44 46.34%
Voracity vs Yoshimitsu 45–32 58.44%
Voracity vs Paul 28–45 38.36%
Voracity vs Lili 34–39 46.58%
Voracity vs Heihachi 25–40 38.46%
Voracity vs Miary Zo 32–33 49.23%
Voracity vs Xiaoyu 34–26 56.67%
Voracity vs Azucena 22–34 39.29%
Voracity vs Asuka 25–27 48.08%
Voracity vs Victor 32–18 64.00%
Voracity vs Devil Jin 19–28 40.43%
Voracity vs Raven 23–20 53.49%
Voracity vs Leo 22–20 52.38%
Voracity vs Jun 14–26 35.00%
Voracity vs Nina 20–18 52.63%
Voracity vs Alisa 18–19 48.65%
Voracity vs Clive 24–11 68.57%
Voracity vs Eddy 16–18 47.06%
Voracity vs Feng 11–21 34.38%
Voracity vs Leroy 13–17 43.33%
Voracity vs Anna 11–18 37.93%
Voracity vs Lidia 13–15 46.43%
Voracity vs Claudio 18–9 66.67%
Voracity vs Kuma 13–9 59.09%
Voracity vs Jack-8 10–7 58.82%
Voracity vs Zafina 7–6 53.85%
Voracity vs Shaheen 6–5 54.55%
Voracity vs Panda 1–7 12.50%

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.