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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

???? vs Hwoarang 66–58 53.23%
???? vs Dragunov 61–54 53.04%
???? vs Kazuya 56–47 54.37%
???? vs King 49–52 48.51%
???? vs Bryan 43–53 44.79%
???? vs Feng 40–52 43.48%
???? vs Reina 48–39 55.17%
???? vs Jin 41–41 50.00%
???? vs Lili 50–32 60.98%
???? vs Devil Jin 39–36 52.00%
???? vs Paul 42–30 58.33%
???? vs Alisa 31–35 46.97%
???? vs Victor 36–30 54.55%
???? vs Asuka 29–33 46.77%
???? vs Lars 28–34 45.16%
???? vs Steve 30–31 49.18%
???? vs Law 33–25 56.90%
???? vs Lee 27–29 48.21%
???? vs Xiaoyu 27–25 51.92%
???? vs Nina 25–27 48.08%
???? vs Leroy 24–28 46.15%
???? vs Eddy 25–27 48.08%
???? vs Azucena 23–23 50.00%
???? vs Raven 19–27 41.30%
???? vs Claudio 25–18 58.14%
???? vs Zafina 23–19 54.76%
???? vs Jun 28–14 66.67%
???? vs Yoshimitsu 18–22 45.00%
???? vs Leo 16–23 41.03%
???? vs Shaheen 22–15 59.46%
???? vs Jack-8 18–15 54.55%
???? vs Panda 11–8 57.89%
???? vs Kuma 7–7 50.00%
???? vs Clive 5–4 55.56%
???? vs Heihachi 1–3 25.00%
???? vs Miary Zo 2–0 100.00%
???? vs Anna 1–0 100.00%

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.