Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
\(b · e · ll)/

Ratings

\(b · e · ll)/ vs Bryan 255–209 54.96%
\(b · e · ll)/ vs Dragunov 227–153 59.74%
\(b · e · ll)/ vs Kazuya 208–144 59.09%
\(b · e · ll)/ vs Paul 181–128 58.58%
\(b · e · ll)/ vs Armor King 158–143 52.49%
\(b · e · ll)/ vs Jin 159–127 55.59%
\(b · e · ll)/ vs Hwoarang 161–122 56.89%
\(b · e · ll)/ vs Asuka 159–119 57.19%
\(b · e · ll)/ vs Steve 155–98 61.26%
\(b · e · ll)/ vs Lili 157–84 65.15%
\(b · e · ll)/ vs Reina 161–77 67.65%
\(b · e · ll)/ vs Lars 132–102 56.41%
\(b · e · ll)/ vs King 130–102 56.03%
\(b · e · ll)/ vs Clive 142–84 62.83%
\(b · e · ll)/ vs Heihachi 133–91 59.38%
\(b · e · ll)/ vs Devil Jin 134–74 64.42%
\(b · e · ll)/ vs Lidia 136–69 66.34%
\(b · e · ll)/ vs Miary Zo 108–91 54.27%
\(b · e · ll)/ vs Victor 110–86 56.12%
\(b · e · ll)/ vs Feng 105–89 54.12%
\(b · e · ll)/ vs Yoshimitsu 119–69 63.30%
\(b · e · ll)/ vs Eddy 110–75 59.46%
\(b · e · ll)/ vs Claudio 114–63 64.41%
\(b · e · ll)/ vs Azucena 98–79 55.37%
\(b · e · ll)/ vs Law 95–80 54.29%
\(b · e · ll)/ vs Nina 112–62 64.37%
\(b · e · ll)/ vs Lee 94–75 55.62%
\(b · e · ll)/ vs Jack-8 80–83 49.08%
\(b · e · ll)/ vs Zafina 81–65 55.48%
\(b · e · ll)/ vs Jun 104–33 75.91%
\(b · e · ll)/ vs Leo 66–65 50.38%
\(b · e · ll)/ vs Leroy 57–73 43.85%
\(b · e · ll)/ vs Alisa 72–56 56.25%
\(b · e · ll)/ vs Anna 78–48 61.90%
\(b · e · ll)/ vs Fahkumram 66–58 53.23%
\(b · e · ll)/ vs Shaheen 72–51 58.54%
\(b · e · ll)/ vs Xiaoyu 57–53 51.82%
\(b · e · ll)/ vs Raven 62–47 56.88%
\(b · e · ll)/ vs Kuma 48–37 56.47%
\(b · e · ll)/ vs Panda 35–41 46.05%

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.