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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Ambrosia vs Kazuya 78–104 42.86%
Ambrosia vs Hwoarang 52–110 32.10%
Ambrosia vs Jin 62–86 41.89%
Ambrosia vs Paul 42–81 34.15%
Ambrosia vs Dragunov 57–65 46.72%
Ambrosia vs Bryan 50–63 44.25%
Ambrosia vs Reina 54–59 47.79%
Ambrosia vs Lili 48–61 44.04%
Ambrosia vs King 43–60 41.75%
Ambrosia vs Asuka 43–56 43.43%
Ambrosia vs Fahkumram 28–56 33.33%
Ambrosia vs Steve 40–37 51.95%
Ambrosia vs Law 22–36 37.93%
Ambrosia vs Victor 19–36 34.55%
Ambrosia vs Heihachi 27–28 49.09%
Ambrosia vs Yoshimitsu 20–33 37.74%
Ambrosia vs Lars 23–23 50.00%
Ambrosia vs Claudio 12–31 27.91%
Ambrosia vs Jack-8 16–26 38.10%
Ambrosia vs Jun 14–27 34.15%
Ambrosia vs Devil Jin 12–27 30.77%
Ambrosia vs Leo 10–28 26.32%
Ambrosia vs Xiaoyu 11–25–1 30.56%
Ambrosia vs Nina 18–19 48.65%
Ambrosia vs Leroy 11–25 30.56%
Ambrosia vs Armor King 11–21 34.38%
Ambrosia vs Clive 8–21 27.59%
Ambrosia vs Eddy 15–13 53.57%
Ambrosia vs Azucena 11–14 44.00%
Ambrosia vs Anna 12–13 48.00%
Ambrosia vs Feng 7–15 31.82%
Ambrosia vs Alisa 11–10 52.38%
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.