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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Quashert vs Jin 98–189 34.15%
Quashert vs King 84–120 41.18%
Quashert vs Kazuya 76–93 44.97%
Quashert vs Steve 71–89 44.38%
Quashert vs Armor King 48–87 35.56%
Quashert vs Bryan 52–67 43.70%
Quashert vs Law 53–63 45.69%
Quashert vs Reina 51–59 46.36%
Quashert vs Eddy 44–63 41.12%
Quashert vs Dragunov 40–57 41.24%
Quashert vs Heihachi 34–59 36.56%
Quashert vs Hwoarang 30–58 34.09%
Quashert vs Jun 34–43 44.16%
Quashert vs Azucena 31–43 41.89%
Quashert vs Lili 28–44 38.89%
Quashert vs Asuka 20–50 28.57%
Quashert vs Devil Jin 23–33 41.07%
Quashert vs Miary Zo 22–31 41.51%
Quashert vs Alisa 23–27 46.00%
Quashert vs Nina 15–35 30.00%
Quashert vs Paul 16–33 32.65%
Quashert vs Yoshimitsu 17–32 34.69%
Quashert vs Anna 16–28 36.36%
Quashert vs Lee 26–17 60.47%
Quashert vs Lidia 20–23 46.51%
Quashert vs Lars 15–27 35.71%
Quashert vs Victor 18–23 43.90%
Quashert vs Clive 15–26 36.59%
Quashert vs Fahkumram 13–27 32.50%
Quashert vs Xiaoyu 10–24 29.41%
Quashert vs Claudio 9–21 30.00%
Quashert vs Leroy 10–19 34.48%
Quashert vs Jack-8 12–12 50.00%
Quashert vs Feng 5–19 20.83%
Quashert vs Zafina 9–10 47.37%
Quashert vs Leo 7–10 41.18%
Quashert vs Kuma 7–9 43.75%
Quashert vs Shaheen 4–9 30.77%
Quashert vs Raven 6–6 50.00%
Quashert vs Panda 1–6 14.29%

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.