Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Big Lugs vs Reina 86–102 45.74%
Big Lugs vs Kazuya 62–88 41.33%
Big Lugs vs King 68–79 46.26%
Big Lugs vs Steve 67–76 46.85%
Big Lugs vs Jin 44–90 32.84%
Big Lugs vs Dragunov 48–70 40.68%
Big Lugs vs Hwoarang 42–67 38.53%
Big Lugs vs Bryan 28–68 29.17%
Big Lugs vs Lidia 43–52 45.26%
Big Lugs vs Clive 43–50 46.24%
Big Lugs vs Eddy 28–52 35.00%
Big Lugs vs Law 33–45 42.31%
Big Lugs vs Azucena 28–46 37.84%
Big Lugs vs Paul 14–59 19.18%
Big Lugs vs Yoshimitsu 27–44 38.03%
Big Lugs vs Asuka 22–49 30.99%
Big Lugs vs Lars 26–42 38.24%
Big Lugs vs Lili 25–40 38.46%
Big Lugs vs Jun 20–41 32.79%
Big Lugs vs Heihachi 22–39 36.07%
Big Lugs vs Nina 22–34 39.29%
Big Lugs vs Victor 27–29 48.21%
Big Lugs vs Lee 20–31 39.22%
Big Lugs vs Leroy 18–33 35.29%
Big Lugs vs Xiaoyu 13–36 26.53%
Big Lugs vs Armor King 22–25 46.81%
Big Lugs vs Jack-8 13–30 30.23%
Big Lugs vs Feng 22–20 52.38%
Big Lugs vs Alisa 8–26 23.53%
Big Lugs vs Kuma 12–20 37.50%
Big Lugs vs Devil Jin 13–18 41.94%
Big Lugs vs Leo 11–20 35.48%
Big Lugs vs Claudio 9–19 32.14%
Big Lugs vs Zafina 10–15 40.00%
Big Lugs vs Raven 9–15 37.50%
Big Lugs vs Shaheen 13–8 61.90%
Big Lugs vs Miary Zo 6–7 46.15%
Big Lugs vs Panda 1–6 14.29%
Big Lugs vs Fahkumram 0–4 0.00%
Big Lugs vs Anna 0–2 0.00%

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.