Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Greet vs Kazuya 307–288 51.60%
Greet vs Heihachi 252–190 57.01%
Greet vs Bryan 201–214 48.43%
Greet vs Jin 213–193 52.46%
Greet vs Reina 199–169 54.08%
Greet vs King 144–158 47.68%
Greet vs Dragunov 137–133 50.74%
Greet vs Steve 134–135 49.81%
Greet vs Paul 162–104 60.90%
Greet vs Hwoarang 149–112 57.09%
Greet vs Devil Jin 125–124 50.20%
Greet vs Clive 109–123 46.98%
Greet vs Law 113–110 50.67%
Greet vs Yoshimitsu 112–111 50.22%
Greet vs Lee 113–100 53.05%
Greet vs Lili 111–72 60.66%
Greet vs Feng 92–87 51.40%
Greet vs Armor King 77–100 43.50%
Greet vs Jun 75–84 47.17%
Greet vs Asuka 67–77 46.53%
Greet vs Eddy 65–68 48.87%
Greet vs Nina 54–70 43.55%
Greet vs Azucena 69–55 55.65%
Greet vs Leo 61–61 50.00%
Greet vs Claudio 73–47 60.83%
Greet vs Lars 51–62 45.13%
Greet vs Lidia 62–49 55.86%
Greet vs Jack-8 44–63 41.12%
Greet vs Victor 64–37 63.37%
Greet vs Xiaoyu 44–50 46.81%
Greet vs Alisa 48–37 56.47%
Greet vs Shaheen 44–29 60.27%
Greet vs Raven 36–36 50.00%
Greet vs Zafina 34–37 47.89%
Greet vs Leroy 40–23 63.49%
Greet vs Fahkumram 25–31 44.64%
Greet vs Anna 31–23 57.41%
Greet vs Panda 26–22 54.17%
Greet vs Kuma 17–30 36.17%
Greet vs Miary Zo 14–17 45.16%

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.