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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MAD DOG vs Kazuya 144–75 65.75%
MAD DOG vs Bryan 111–62 64.16%
MAD DOG vs Jin 109–59 64.88%
MAD DOG vs Heihachi 107–57 65.24%
MAD DOG vs Law 101–55 64.74%
MAD DOG vs Hwoarang 91–54 62.76%
MAD DOG vs King 82–57 58.99%
MAD DOG vs Steve 90–34 72.58%
MAD DOG vs Paul 52–50 50.98%
MAD DOG vs Yoshimitsu 57–44 56.44%
MAD DOG vs Devil Jin 57–27 67.86%
MAD DOG vs Lee 44–40 52.38%
MAD DOG vs Reina 25–44 36.23%
MAD DOG vs Lili 29–38 43.28%
MAD DOG vs Dragunov 33–32 50.77%
MAD DOG vs Asuka 37–27 57.81%
MAD DOG vs Nina 42–21 66.67%
MAD DOG vs Eddy 32–28 53.33%
MAD DOG vs Xiaoyu 37–22 62.71%
MAD DOG vs Armor King 33–26 55.93%
MAD DOG vs Jun 36–21 63.16%
MAD DOG vs Alisa 31–24 56.36%
MAD DOG vs Lars 32–22 59.26%
MAD DOG vs Leroy 27–23 54.00%
MAD DOG vs Azucena 26–18 59.09%
MAD DOG vs Raven 26–18 59.09%
MAD DOG vs Anna 20–22 47.62%
MAD DOG vs Victor 23–17 57.50%
MAD DOG vs Jack-8 22–17 56.41%
MAD DOG vs Feng 19–17 52.78%
MAD DOG vs Fahkumram 15–19 44.12%
MAD DOG vs Leo 14–18 43.75%
MAD DOG vs Clive 15–17 46.88%
MAD DOG vs Lidia 19–12 61.29%
MAD DOG vs Kuma 10–14 41.67%
MAD DOG vs Claudio 13–9 59.09%
MAD DOG vs Zafina 10–11 47.62%
MAD DOG vs Shaheen 7–11 38.89%
MAD DOG vs Miary Zo 7–5 58.33%
MAD DOG vs Panda 4–6 40.00%

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.