Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Amituofo vs Bryan 86–84 50.59%
Amituofo vs Kazuya 88–82 51.76%
Amituofo vs Jin 78–74 51.32%
Amituofo vs King 85–66 56.29%
Amituofo vs Reina 72–61 54.14%
Amituofo vs Steve 69–57 54.76%
Amituofo vs Hwoarang 53–65 44.92%
Amituofo vs Heihachi 42–65 39.25%
Amituofo vs Paul 45–56 44.55%
Amituofo vs Law 40–61 39.60%
Amituofo vs Yoshimitsu 61–29 67.78%
Amituofo vs Dragunov 46–40 53.49%
Amituofo vs Lee 44–39 53.01%
Amituofo vs Lars 34–42 44.74%
Amituofo vs Feng 42–31 57.53%
Amituofo vs Nina 31–42 42.47%
Amituofo vs Lili 30–33 47.62%
Amituofo vs Azucena 26–37 41.27%
Amituofo vs Xiaoyu 28–31 47.46%
Amituofo vs Jun 25–34 42.37%
Amituofo vs Raven 37–21 63.79%
Amituofo vs Victor 32–23 58.18%
Amituofo vs Devil Jin 22–31 41.51%
Amituofo vs Leo 26–24 52.00%
Amituofo vs Alisa 24–26 48.00%
Amituofo vs Lidia 19–31 38.00%
Amituofo vs Leroy 25–24 51.02%
Amituofo vs Claudio 23–25 47.92%
Amituofo vs Eddy 20–26 43.48%
Amituofo vs Asuka 19–26 42.22%
Amituofo vs Jack-8 19–22 46.34%
Amituofo vs Zafina 19–16 54.29%
Amituofo vs Fahkumram 10–24 29.41%
Amituofo vs Anna 15–15 50.00%
Amituofo vs Shaheen 5–11 31.25%
Amituofo vs Kuma 8–8 50.00%
Amituofo vs Clive 9–7 56.25%
Amituofo vs Armor King 5–9 35.71%
Amituofo vs Panda 9–4 69.23%
Amituofo vs Miary Zo 0–2 0.00%

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.