Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Big Beef vs Bryan 58–50 53.70%
Big Beef vs Jin 55–44 55.56%
Big Beef vs Kazuya 48–48 50.00%
Big Beef vs Reina 60–35 63.16%
Big Beef vs Lee 43–39 52.44%
Big Beef vs Steve 44–37 54.32%
Big Beef vs King 46–34 57.50%
Big Beef vs Law 32–29 52.46%
Big Beef vs Heihachi 33–24 57.89%
Big Beef vs Lili 34–21 61.82%
Big Beef vs Dragunov 31–19–1 62.00%
Big Beef vs Lars 27–21 56.25%
Big Beef vs Lidia 26–21 55.32%
Big Beef vs Yoshimitsu 24–22 52.17%
Big Beef vs Asuka 22–24 47.83%
Big Beef vs Nina 20–24 45.45%
Big Beef vs Jun 18–24 42.86%
Big Beef vs Xiaoyu 26–14 65.00%
Big Beef vs Devil Jin 19–21 47.50%
Big Beef vs Hwoarang 22–15 59.46%
Big Beef vs Leo 22–11 66.67%
Big Beef vs Raven 14–18 43.75%
Big Beef vs Victor 17–14 54.84%
Big Beef vs Leroy 20–10 66.67%
Big Beef vs Paul 15–14 51.72%
Big Beef vs Feng 15–14 51.72%
Big Beef vs Claudio 12–14 46.15%
Big Beef vs Azucena 11–15 42.31%
Big Beef vs Kuma 15–10 60.00%
Big Beef vs Fahkumram 12–13 48.00%
Big Beef vs Armor King 11–14 44.00%
Big Beef vs Jack-8 12–11 52.17%
Big Beef vs Clive 12–10 54.55%
Big Beef vs Alisa 9–12 42.86%
Big Beef vs Eddy 12–7 63.16%
Big Beef vs Panda 13–5 72.22%
Big Beef vs Zafina 6–12 33.33%
Big Beef vs Anna 10–8 55.56%
Big Beef vs Shaheen 5–5 50.00%
Big Beef vs Miary Zo 4–1 80.00%

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.