Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Carrulo vs Kazuya 226–161 58.40%
Carrulo vs Bryan 216–161 57.29%
Carrulo vs Jin 224–152 59.57%
Carrulo vs Dragunov 170–132 56.29%
Carrulo vs Heihachi 163–127 56.21%
Carrulo vs Hwoarang 164–100 62.12%
Carrulo vs King 149–112 57.09%
Carrulo vs Lee 155–102 60.31%
Carrulo vs Reina 143–110 56.52%
Carrulo vs Paul 132–105 55.70%
Carrulo vs Steve 132–104 55.93%
Carrulo vs Law 126–105 54.55%
Carrulo vs Feng 122–108 53.04%
Carrulo vs Devil Jin 114–96 54.29%
Carrulo vs Lars 102–92 52.58%
Carrulo vs Fahkumram 105–86 54.97%
Carrulo vs Yoshimitsu 99–83 54.40%
Carrulo vs Lili 88–74 54.32%
Carrulo vs Alisa 69–88 43.95%
Carrulo vs Nina 78–72 52.00%
Carrulo vs Lidia 64–82 43.84%
Carrulo vs Asuka 83–61 57.64%
Carrulo vs Jun 89–55 61.81%
Carrulo vs Miary Zo 73–60 54.89%
Carrulo vs Azucena 73–58 55.73%
Carrulo vs Clive 62–67 48.06%
Carrulo vs Armor King 77–48–1 61.60%
Carrulo vs Xiaoyu 53–61 46.49%
Carrulo vs Claudio 51–60–1 45.95%
Carrulo vs Victor 57–50 53.27%
Carrulo vs Anna 60–45 57.14%
Carrulo vs Zafina 53–50 51.46%
Carrulo vs Leroy 56–44 56.00%
Carrulo vs Shaheen 52–47 52.53%
Carrulo vs Eddy 51–40 56.04%
Carrulo vs Jack-8 49–41 54.44%
Carrulo vs Leo 47–43 52.22%
Carrulo vs Raven 48–37 56.47%
Carrulo vs Kuma 26–40 39.39%
Carrulo vs Panda 20–9 68.97%

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.