Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Greet vs Kazuya 332–321 50.84%
Greet vs Heihachi 272–210 56.43%
Greet vs Bryan 218–242 47.39%
Greet vs Jin 234–217 51.88%
Greet vs Reina 213–176 54.76%
Greet vs King 177–174 50.43%
Greet vs Dragunov 165–156 51.40%
Greet vs Hwoarang 175–133 56.82%
Greet vs Steve 154–144 51.68%
Greet vs Paul 173–115 60.07%
Greet vs Devil Jin 136–146 48.23%
Greet vs Law 131–120 52.19%
Greet vs Clive 121–130 48.21%
Greet vs Yoshimitsu 122–123 49.80%
Greet vs Lee 124–118 51.24%
Greet vs Armor King 100–121 45.25%
Greet vs Lili 122–82 59.80%
Greet vs Feng 95–91 51.08%
Greet vs Jun 84–87 49.12%
Greet vs Asuka 80–81 49.69%
Greet vs Eddy 69–74 48.25%
Greet vs Nina 65–76 46.10%
Greet vs Azucena 77–63 55.00%
Greet vs Leo 71–65 52.21%
Greet vs Claudio 83–53 61.03%
Greet vs Lars 58–76 43.28%
Greet vs Lidia 70–64 52.24%
Greet vs Victor 69–44 61.06%
Greet vs Jack-8 47–65 41.96%
Greet vs Xiaoyu 52–53 49.52%
Greet vs Alisa 55–39 58.51%
Greet vs Raven 38–45 45.78%
Greet vs Shaheen 48–34 58.54%
Greet vs Zafina 36–37 49.32%
Greet vs Fahkumram 35–38 47.95%
Greet vs Leroy 42–23 64.62%
Greet vs Anna 31–28 52.54%
Greet vs Panda 26–23 53.06%
Greet vs Kuma 17–31 35.42%
Greet vs Miary Zo 19–24 44.19%

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.