Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Dollface vs King 87–137 38.84%
Dollface vs Steve 62–124 33.33%
Dollface vs Eddy 46–121 27.54%
Dollface vs Kazuya 67–96 41.10%
Dollface vs Jin 60–102 37.04%
Dollface vs Hwoarang 57–94 37.75%
Dollface vs Law 42–105 28.57%
Dollface vs Reina 58–68 46.03%
Dollface vs Bryan 42–66 38.89%
Dollface vs Jun 33–68 32.67%
Dollface vs Azucena 35–62 36.08%
Dollface vs Lili 41–46 47.13%
Dollface vs Victor 28–56 33.33%
Dollface vs Heihachi 27–55 32.93%
Dollface vs Yoshimitsu 26–55 32.10%
Dollface vs Lee 38–43 46.91%
Dollface vs Dragunov 35–45 43.75%
Dollface vs Lidia 41–39 51.25%
Dollface vs Asuka 27–48 36.00%
Dollface vs Xiaoyu 37–34 52.11%
Dollface vs Lars 15–52 22.39%
Dollface vs Nina 28–39 41.79%
Dollface vs Paul 25–37 40.32%
Dollface vs Leo 26–29 47.27%
Dollface vs Feng 15–31 32.61%
Dollface vs Alisa 12–30 28.57%
Dollface vs Devil Jin 15–26 36.59%
Dollface vs Leroy 16–22 42.11%
Dollface vs Raven 8–28 22.22%
Dollface vs Jack-8 8–26 23.53%
Dollface vs Clive 11–20 35.48%
Dollface vs Shaheen 10–19 34.48%
Dollface vs Kuma 10–18 35.71%
Dollface vs Claudio 8–17 32.00%
Dollface vs Zafina 11–9 55.00%
Dollface vs Miary Zo 7–13 35.00%
Dollface vs Anna 4–7 36.36%
Dollface vs Panda 3–7 30.00%
Dollface vs Armor King 4–6 40.00%
Dollface vs Fahkumram 2–4 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.