Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

SamSara vs Kazuya 345–260 57.02%
SamSara vs Bryan 243–185 56.78%
SamSara vs Reina 243–163 59.85%
SamSara vs Jin 189–192–1 49.61%
SamSara vs King 199–160 55.43%
SamSara vs Heihachi 205–136 60.12%
SamSara vs Steve 188–148 55.95%
SamSara vs Hwoarang 166–129 56.27%
SamSara vs Dragunov 140–136 50.72%
SamSara vs Law 148–123 54.61%
SamSara vs Fahkumram 172–94 64.66%
SamSara vs Paul 140–119 54.05%
SamSara vs Lee 140–115 54.90%
SamSara vs Lili 130–101 56.28%
SamSara vs Jun 139–80 63.47%
SamSara vs Azucena 141–73 65.89%
SamSara vs Lidia 129–62 67.54%
SamSara vs Yoshimitsu 93–92 50.27%
SamSara vs Devil Jin 87–85 50.58%
SamSara vs Asuka 92–70 56.79%
SamSara vs Lars 79–81 49.38%
SamSara vs Armor King 72–83 46.45%
SamSara vs Feng 68–74 47.89%
SamSara vs Nina 61–80 43.26%
SamSara vs Clive 59–79 42.75%
SamSara vs Xiaoyu 78–59 56.93%
SamSara vs Anna 67–68 49.63%
SamSara vs Eddy 52–76 40.62%
SamSara vs Leo 66–56 54.10%
SamSara vs Raven 56–62 47.46%
SamSara vs Jack-8 59–55 51.75%
SamSara vs Leroy 64–39 62.14%
SamSara vs Victor 45–57 44.12%
SamSara vs Claudio 54–36 60.00%
SamSara vs Zafina 38–47 44.71%
SamSara vs Alisa 27–52 34.18%
SamSara vs Kuma 20–41 32.79%
SamSara vs Miary Zo 32–22 59.26%
SamSara vs Shaheen 18–28 39.13%
SamSara vs Panda 13–13 50.00%

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.