Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

dragdeez vs King 65–69 48.51%
dragdeez vs Reina 71–60 54.20%
dragdeez vs Kazuya 56–65 46.28%
dragdeez vs Jin 36–64 36.00%
dragdeez vs Bryan 43–53 44.79%
dragdeez vs Law 39–39 50.00%
dragdeez vs Lili 41–37 52.56%
dragdeez vs Dragunov 39–34 53.42%
dragdeez vs Azucena 32–39 45.07%
dragdeez vs Steve 25–42 37.31%
dragdeez vs Lee 28–26 51.85%
dragdeez vs Asuka 23–30 43.40%
dragdeez vs Hwoarang 18–28 39.13%
dragdeez vs Jun 16–30 34.78%
dragdeez vs Heihachi 21–23 47.73%
dragdeez vs Yoshimitsu 18–23 43.90%
dragdeez vs Devil Jin 13–28 31.71%
dragdeez vs Leo 12–27 30.77%
dragdeez vs Lars 11–28 28.21%
dragdeez vs Jack-8 16–21 43.24%
dragdeez vs Shaheen 21–15 58.33%
dragdeez vs Armor King 16–19 45.71%
dragdeez vs Lidia 15–17 46.88%
dragdeez vs Xiaoyu 11–18 37.93%
dragdeez vs Victor 14–15 48.28%
dragdeez vs Paul 11–17 39.29%
dragdeez vs Zafina 16–12 57.14%
dragdeez vs Clive 11–15 42.31%
dragdeez vs Feng 11–14 44.00%
dragdeez vs Raven 16–9 64.00%
dragdeez vs Anna 13–12 52.00%
dragdeez vs Nina 11–13 45.83%
dragdeez vs Kuma 12–12 50.00%
dragdeez vs Alisa 10–12 45.45%
dragdeez vs Eddy 14–8 63.64%
dragdeez vs Claudio 6–15 28.57%
dragdeez vs Leroy 10–10 50.00%
dragdeez vs Fahkumram 4–7 36.36%
dragdeez vs Panda 2–2 50.00%
dragdeez vs Miary Zo 2–2 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.