Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

FnEasley vs King 74–103 41.81%
FnEasley vs Kazuya 68–54 55.74%
FnEasley vs Jin 48–70 40.68%
FnEasley vs Steve 57–44 56.44%
FnEasley vs Bryan 31–54 36.47%
FnEasley vs Law 33–46 41.77%
FnEasley vs Hwoarang 34–42 44.74%
FnEasley vs Dragunov 35–41 46.05%
FnEasley vs Reina 38–37 50.67%
FnEasley vs Lili 30–38 44.12%
FnEasley vs Armor King 26–40 39.39%
FnEasley vs Heihachi 27–34 44.26%
FnEasley vs Paul 27–33 45.00%
FnEasley vs Asuka 35–25 58.33%
FnEasley vs Eddy 25–28 47.17%
FnEasley vs Anna 22–26 45.83%
FnEasley vs Jun 20–24 45.45%
FnEasley vs Nina 21–22 48.84%
FnEasley vs Lars 15–24 38.46%
FnEasley vs Yoshimitsu 14–23 37.84%
FnEasley vs Xiaoyu 21–15 58.33%
FnEasley vs Azucena 15–21 41.67%
FnEasley vs Victor 9–26 25.71%
FnEasley vs Fahkumram 13–22 37.14%
FnEasley vs Clive 8–26 23.53%
FnEasley vs Feng 20–13 60.61%
FnEasley vs Devil Jin 14–17 45.16%
FnEasley vs Lee 18–12 60.00%
FnEasley vs Lidia 17–13 56.67%
FnEasley vs Jack-8 12–16 42.86%
FnEasley vs Leo 14–13 51.85%
FnEasley vs Alisa 11–15 42.31%
FnEasley vs Raven 13–11 54.17%
FnEasley vs Leroy 7–14 33.33%
FnEasley vs Claudio 9–11 45.00%
FnEasley vs Shaheen 2–13 13.33%
FnEasley vs Kuma 2–13 13.33%
FnEasley vs Miary Zo 4–9 30.77%
FnEasley vs Panda 5–6 45.45%
FnEasley vs Zafina 3–6 33.33%

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.