Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Verizontal
Pawmot
LitMixtapezz
tumbleweave
MED K
Ampharos
Verizontal vs Kazuya 54–38 58.70%
Verizontal vs Jin 50–25 66.67%
Verizontal vs Bryan 46–26 63.89%
Verizontal vs Dragunov 49–20 71.01%
Verizontal vs Heihachi 32–35 47.76%
Verizontal vs Yoshimitsu 44–20 68.75%
Verizontal vs Jack-8 46–18 71.88%
Verizontal vs Law 37–26 58.73%
Verizontal vs Nina 41–17 70.69%
Verizontal vs Reina 41–17 70.69%
Verizontal vs Steve 39–18 68.42%
Verizontal vs Lili 30–27 52.63%
Verizontal vs King 36–20 64.29%
Verizontal vs Hwoarang 37–15 71.15%
Verizontal vs Lee 30–19 61.22%
Verizontal vs Paul 33–13 71.74%
Verizontal vs Feng 29–17 63.04%
Verizontal vs Lars 30–16 65.22%
Verizontal vs Azucena 34–10 77.27%
Verizontal vs Asuka 29–11 72.50%
Verizontal vs Zafina 16–18 47.06%
Verizontal vs Xiaoyu 20–13 60.61%
Verizontal vs Devil Jin 23–10 69.70%
Verizontal vs Lidia 20–13 60.61%
Verizontal vs Leo 23–9 71.88%
Verizontal vs Victor 20–12 62.50%
Verizontal vs Jun 27–4 87.10%
Verizontal vs Raven 22–7 75.86%
Verizontal vs Shaheen 22–6 78.57%
Verizontal vs Eddy 13–14 48.15%
Verizontal vs Claudio 13–12 52.00%
Verizontal vs Kuma 20–5 80.00%
Verizontal vs Leroy 13–10 56.52%
Verizontal vs Clive 7–9 43.75%
Verizontal vs Alisa 9–6 60.00%
Verizontal vs Panda 7–1 87.50%

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.