Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Giibson vs Kazuya 326–255 56.11%
Giibson vs Bryan 276–196 58.47%
Giibson vs Heihachi 266–165 61.72%
Giibson vs Jin 219–203 51.90%
Giibson vs Paul 204–123 62.39%
Giibson vs Hwoarang 171–146 53.94%
Giibson vs King 174–139 55.59%
Giibson vs Dragunov 156–144 52.00%
Giibson vs Law 145–125 53.70%
Giibson vs Steve 155–115 57.41%
Giibson vs Lee 129–119 52.02%
Giibson vs Reina 118–122 49.17%
Giibson vs Devil Jin 117–119 49.58%
Giibson vs Yoshimitsu 123–105–1 53.95%
Giibson vs Lili 92–115 44.44%
Giibson vs Azucena 104–79 56.83%
Giibson vs Lars 73–95 43.45%
Giibson vs Clive 80–79 50.31%
Giibson vs Nina 93–63 59.62%
Giibson vs Armor King 92–48 65.71%
Giibson vs Xiaoyu 86–51 62.77%
Giibson vs Asuka 72–63 53.33%
Giibson vs Claudio 64–67 48.85%
Giibson vs Leo 63–66 48.84%
Giibson vs Feng 62–64 49.21%
Giibson vs Zafina 75–47 61.48%
Giibson vs Jun 69–52 57.02%
Giibson vs Raven 68–53 56.20%
Giibson vs Lidia 54–58 48.21%
Giibson vs Jack-8 52–55 48.60%
Giibson vs Leroy 50–57 46.73%
Giibson vs Alisa 47–59 44.34%
Giibson vs Eddy 47–54 46.53%
Giibson vs Victor 38–50 43.18%
Giibson vs Fahkumram 52–35 59.77%
Giibson vs Anna 37–49 43.02%
Giibson vs Shaheen 30–31 49.18%
Giibson vs Kuma 20–29 40.82%
Giibson vs Miary Zo 14–26 35.00%
Giibson vs Panda 15–13 53.57%

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.