Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

The_F00L vs Kazuya 86–81 51.50%
The_F00L vs Armor King 57–107 34.76%
The_F00L vs Jin 86–73 54.09%
The_F00L vs King 74–78 48.68%
The_F00L vs Steve 79–51 60.77%
The_F00L vs Bryan 49–71 40.83%
The_F00L vs Hwoarang 75–38 66.37%
The_F00L vs Law 65–47 58.04%
The_F00L vs Reina 52–49 51.49%
The_F00L vs Jun 46–37 55.42%
The_F00L vs Eddy 47–36 56.63%
The_F00L vs Heihachi 38–45 45.78%
The_F00L vs Dragunov 45–34 56.96%
The_F00L vs Lars 35–40 46.67%
The_F00L vs Lee 40–33 54.79%
The_F00L vs Lili 34–35 49.28%
The_F00L vs Azucena 36–32 52.94%
The_F00L vs Paul 24–31 43.64%
The_F00L vs Asuka 28–25 52.83%
The_F00L vs Raven 25–24 51.02%
The_F00L vs Leroy 26–22 54.17%
The_F00L vs Feng 22–25 46.81%
The_F00L vs Victor 23–23 50.00%
The_F00L vs Fahkumram 20–25 44.44%
The_F00L vs Yoshimitsu 17–27 38.64%
The_F00L vs Devil Jin 24–17 58.54%
The_F00L vs Clive 26–15 63.41%
The_F00L vs Lidia 23–16 58.97%
The_F00L vs Leo 19–19 50.00%
The_F00L vs Nina 15–21 41.67%
The_F00L vs Anna 17–19 47.22%
The_F00L vs Miary Zo 15–16 48.39%
The_F00L vs Xiaoyu 14–15 48.28%
The_F00L vs Claudio 7–17 29.17%
The_F00L vs Jack-8 7–16 30.43%
The_F00L vs Alisa 14–9 60.87%
The_F00L vs Zafina 15–5 75.00%
The_F00L vs Panda 4–8 33.33%
The_F00L vs Kuma 6–5 54.55%
The_F00L vs Shaheen 5–5 50.00%

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.