Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Beef Cheeks vs King 63–70 47.37%
Beef Cheeks vs Heihachi 53–66 44.54%
Beef Cheeks vs Kazuya 44–63 41.12%
Beef Cheeks vs Jin 45–48 48.39%
Beef Cheeks vs Reina 39–43 47.56%
Beef Cheeks vs Bryan 31–43 41.89%
Beef Cheeks vs Hwoarang 13–48 21.31%
Beef Cheeks vs Steve 27–32 45.76%
Beef Cheeks vs Lili 23–35 39.66%
Beef Cheeks vs Fahkumram 21–33 38.89%
Beef Cheeks vs Jun 28–25 52.83%
Beef Cheeks vs Paul 19–31 38.00%
Beef Cheeks vs Asuka 21–29 42.00%
Beef Cheeks vs Eddy 19–26 42.22%
Beef Cheeks vs Yoshimitsu 14–30 31.82%
Beef Cheeks vs Azucena 20–20 50.00%
Beef Cheeks vs Devil Jin 14–25 35.90%
Beef Cheeks vs Dragunov 14–25 35.90%
Beef Cheeks vs Lars 10–25 28.57%
Beef Cheeks vs Nina 13–22 37.14%
Beef Cheeks vs Lidia 17–18 48.57%
Beef Cheeks vs Clive 16–19 45.71%
Beef Cheeks vs Leo 13–21 38.24%
Beef Cheeks vs Victor 14–15 48.28%
Beef Cheeks vs Law 9–19 32.14%
Beef Cheeks vs Jack-8 14–9 60.87%
Beef Cheeks vs Alisa 10–13 43.48%
Beef Cheeks vs Anna 8–15 34.78%
Beef Cheeks vs Lee 12–10 54.55%
Beef Cheeks vs Kuma 11–10 52.38%
Beef Cheeks vs Feng 8–12 40.00%
Beef Cheeks vs Claudio 9–10 47.37%
Beef Cheeks vs Raven 9–9 50.00%
Beef Cheeks vs Xiaoyu 7–10 41.18%
Beef Cheeks vs Leroy 7–5 58.33%
Beef Cheeks vs Shaheen 4–6 40.00%
Beef Cheeks vs Panda 2–1 66.67%

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.