Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
steelydan

Ratings

steelydan vs King 190–153 55.39%
steelydan vs Kazuya 155–146 51.50%
steelydan vs Reina 124–127 49.40%
steelydan vs Bryan 106–132 44.54%
steelydan vs Heihachi 110–127 46.41%
steelydan vs Jin 105–126 45.45%
steelydan vs Steve 106–108 49.53%
steelydan vs Law 86–120 41.75%
steelydan vs Hwoarang 71–98 42.01%
steelydan vs Dragunov 69–98 41.32%
steelydan vs Yoshimitsu 65–89 42.21%
steelydan vs Lili 78–75 50.98%
steelydan vs Jun 60–88 40.54%
steelydan vs Eddy 59–77 43.38%
steelydan vs Paul 44–88 33.33%
steelydan vs Lars 53–66 44.54%
steelydan vs Lee 52–65 44.44%
steelydan vs Asuka 55–60 47.83%
steelydan vs Azucena 56–54 50.91%
steelydan vs Lidia 45–64 41.28%
steelydan vs Nina 40–64 38.46%
steelydan vs Leo 40–62 39.22%
steelydan vs Devil Jin 36–65 35.64%
steelydan vs Victor 46–52 46.94%
steelydan vs Xiaoyu 37–57 39.36%
steelydan vs Feng 32–48 40.00%
steelydan vs Leroy 24–45 34.78%
steelydan vs Jack-8 26–42 38.24%
steelydan vs Raven 37–31 54.41%
steelydan vs Alisa 27–35 43.55%
steelydan vs Claudio 22–26 45.83%
steelydan vs Shaheen 15–29 34.09%
steelydan vs Fahkumram 22–21 51.16%
steelydan vs Zafina 18–18 50.00%
steelydan vs Kuma 10–17 37.04%
steelydan vs Clive 11–12 47.83%
steelydan vs Anna 11–10 52.38%
steelydan vs Panda 7–12 36.84%

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.