Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Ambrosia vs Kazuya 74–96 43.53%
Ambrosia vs Hwoarang 48–104 31.58%
Ambrosia vs Jin 62–85 42.18%
Ambrosia vs Dragunov 53–65 44.92%
Ambrosia vs Paul 41–76 35.04%
Ambrosia vs Reina 50–58 46.30%
Ambrosia vs Lili 46–60 43.40%
Ambrosia vs Bryan 44–60 42.31%
Ambrosia vs King 42–60 41.18%
Ambrosia vs Asuka 43–55 43.88%
Ambrosia vs Fahkumram 28–54 34.15%
Ambrosia vs Steve 32–34 48.48%
Ambrosia vs Victor 19–36 34.55%
Ambrosia vs Law 19–31 38.00%
Ambrosia vs Yoshimitsu 18–32 36.00%
Ambrosia vs Heihachi 22–23 48.89%
Ambrosia vs Lars 22–21 51.16%
Ambrosia vs Claudio 11–29 27.50%
Ambrosia vs Jack-8 14–25 35.90%
Ambrosia vs Jun 12–26 31.58%
Ambrosia vs Devil Jin 10–27 27.03%
Ambrosia vs Leo 10–27 27.03%
Ambrosia vs Leroy 10–25 28.57%
Ambrosia vs Nina 18–16 52.94%
Ambrosia vs Xiaoyu 10–21–1 32.26%
Ambrosia vs Clive 8–21 27.59%
Ambrosia vs Armor King 10–18 35.71%
Ambrosia vs Azucena 11–14 44.00%
Ambrosia vs Eddy 11–12 47.83%
Ambrosia vs Feng 6–13 31.58%
Ambrosia vs Alisa 9–10 47.37%
Ambrosia vs Anna 7–12 36.84%
Ambrosia vs Raven 6–8 42.86%
Ambrosia vs Miary Zo 5–9 35.71%
Ambrosia vs Lee 5–8 38.46%
Ambrosia vs Kuma 3–10 23.08%
Ambrosia vs Zafina 5–8 38.46%
Ambrosia vs Lidia 2–11 15.38%
Ambrosia vs Shaheen 4–8 33.33%
Ambrosia vs Panda 7–2 77.78%

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.