Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Marcelo vs Jin 266–199 57.20%
Marcelo vs Hwoarang 216–141 60.50%
Marcelo vs King 220–127 63.40%
Marcelo vs Kazuya 158–121 56.63%
Marcelo vs Law 153–109–1 58.40%
Marcelo vs Heihachi 145–118 55.13%
Marcelo vs Steve 150–110 57.69%
Marcelo vs Paul 139–116 54.51%
Marcelo vs Dragunov 141–97 59.24%
Marcelo vs Bryan 131–104 55.74%
Marcelo vs Jun 117–94 55.45%
Marcelo vs Yoshimitsu 108–101 51.67%
Marcelo vs Devil Jin 99–110 47.37%
Marcelo vs Reina 105–85 55.26%
Marcelo vs Victor 91–69–1 56.88%
Marcelo vs Lili 93–63 59.62%
Marcelo vs Xiaoyu 90–64 58.44%
Marcelo vs Azucena 95–59 61.69%
Marcelo vs Lars 83–69 54.61%
Marcelo vs Feng 63–80 44.06%
Marcelo vs Eddy 80–56 58.82%
Marcelo vs Leo 61–69 46.92%
Marcelo vs Leroy 71–57 55.47%
Marcelo vs Nina 61–64 48.80%
Marcelo vs Kuma 88–37 70.40%
Marcelo vs Panda 69–56 55.20%
Marcelo vs Lee 68–56 54.84%
Marcelo vs Claudio 52–47 52.53%
Marcelo vs Asuka 49–48 50.52%
Marcelo vs Jack-8 58–34 63.04%
Marcelo vs Alisa 43–41 51.19%
Marcelo vs Raven 45–37 54.88%
Marcelo vs Lidia 43–39 52.44%
Marcelo vs Clive 41–37 52.56%
Marcelo vs Shaheen 41–36 53.25%
Marcelo vs Armor King 42–34 55.26%
Marcelo vs Zafina 31–37 45.59%
Marcelo vs Anna 37–30 55.22%
Marcelo vs Miary Zo 29–22 56.86%
Marcelo vs Fahkumram 26–15 63.41%

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.