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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Davizulo vs Jin 105–142 42.51%
Davizulo vs Kazuya 73–146 33.33%
Davizulo vs King 64–130 32.99%
Davizulo vs Hwoarang 77–100 43.50%
Davizulo vs Reina 70–96 42.17%
Davizulo vs Steve 56–80 41.18%
Davizulo vs Dragunov 48–73 39.67%
Davizulo vs Law 34–86 28.33%
Davizulo vs Bryan 46–66 41.07%
Davizulo vs Eddy 49–50 49.49%
Davizulo vs Lili 29–67 30.21%
Davizulo vs Jun 47–46 50.54%
Davizulo vs Heihachi 38–47 44.71%
Davizulo vs Lidia 34–50 40.48%
Davizulo vs Nina 28–47 37.33%
Davizulo vs Victor 28–43 39.44%
Davizulo vs Yoshimitsu 26–44 37.14%
Davizulo vs Asuka 22–42 34.38%
Davizulo vs Devil Jin 20–39 33.90%
Davizulo vs Xiaoyu 27–25 51.92%
Davizulo vs Paul 19–31 38.00%
Davizulo vs Lee 20–23 46.51%
Davizulo vs Leroy 17–22 43.59%
Davizulo vs Lars 10–25 28.57%
Davizulo vs Azucena 16–18 47.06%
Davizulo vs Alisa 11–22 33.33%
Davizulo vs Jack-8 15–15 50.00%
Davizulo vs Feng 13–16 44.83%
Davizulo vs Leo 13–16 44.83%
Davizulo vs Clive 12–12 50.00%
Davizulo vs Claudio 9–14 39.13%
Davizulo vs Zafina 6–17 26.09%
Davizulo vs Raven 9–10 47.37%
Davizulo vs Kuma 10–8 55.56%
Davizulo vs Panda 6–12 33.33%
Davizulo vs Fahkumram 7–9 43.75%
Davizulo vs Shaheen 4–11 26.67%
Davizulo vs Anna 9–5 64.29%
Davizulo vs Armor King 4–7 36.36%
Davizulo vs Miary Zo 1–8 11.11%

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.