Like TEKKEN 7? Try out c7, which now has Wavu Wank7.

Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Rolling So Bad vs Kazuya 104–55 65.41%
Rolling So Bad vs Bryan 95–62 60.51%
Rolling So Bad vs Hwoarang 77–59 56.62%
Rolling So Bad vs Jin 72–51 58.54%
Rolling So Bad vs Heihachi 67–47 58.77%
Rolling So Bad vs King 61–49 55.45%
Rolling So Bad vs Dragunov 49–55 47.12%
Rolling So Bad vs Steve 49–47 51.04%
Rolling So Bad vs Law 64–22 74.42%
Rolling So Bad vs Paul 52–30 63.41%
Rolling So Bad vs Lili 35–40 46.67%
Rolling So Bad vs Reina 41–32 56.16%
Rolling So Bad vs Yoshimitsu 34–35 49.28%
Rolling So Bad vs Asuka 31–33 48.44%
Rolling So Bad vs Feng 31–26 54.39%
Rolling So Bad vs Xiaoyu 29–22 56.86%
Rolling So Bad vs Lars 28–22 56.00%
Rolling So Bad vs Lee 22–27 44.90%
Rolling So Bad vs Jun 26–20 56.52%
Rolling So Bad vs Leo 25–20 55.56%
Rolling So Bad vs Nina 20–23 46.51%
Rolling So Bad vs Devil Jin 23–17 57.50%
Rolling So Bad vs Fahkumram 17–21 44.74%
Rolling So Bad vs Armor King 18–19 48.65%
Rolling So Bad vs Raven 18–17 51.43%
Rolling So Bad vs Azucena 21–11 65.62%
Rolling So Bad vs Leroy 25–6 80.65%
Rolling So Bad vs Eddy 21–10 67.74%
Rolling So Bad vs Anna 18–13 58.06%
Rolling So Bad vs Clive 16–14 53.33%
Rolling So Bad vs Jack-8 14–11 56.00%
Rolling So Bad vs Alisa 13–12 52.00%
Rolling So Bad vs Victor 12–12 50.00%
Rolling So Bad vs Claudio 10–8 55.56%
Rolling So Bad vs Kuma 8–7 53.33%
Rolling So Bad vs Lidia 4–6 40.00%
Rolling So Bad vs Shaheen 6–3 66.67%
Rolling So Bad vs Zafina 7–0 100.00%
Rolling So Bad vs Miary Zo 3–0 100.00%
Rolling So Bad vs Panda 1–1 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.