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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

mountain vs Kazuya 202–176 53.44%
mountain vs Jin 195–167 53.87%
mountain vs Heihachi 165–145 53.23%
mountain vs Bryan 156–137 53.24%
mountain vs Dragunov 131–100 56.71%
mountain vs King 113–88 56.22%
mountain vs Hwoarang 106–93 53.27%
mountain vs Paul 94–79 54.34%
mountain vs Devil Jin 88–79 52.69%
mountain vs Steve 82–80 50.62%
mountain vs Law 93–64 59.24%
mountain vs Lee 66–88 42.86%
mountain vs Yoshimitsu 74–68 52.11%
mountain vs Feng 81–57 58.70%
mountain vs Armor King 83–54 60.58%
mountain vs Reina 83–49 62.88%
mountain vs Lars 63–64 49.61%
mountain vs Lili 62–58 51.67%
mountain vs Alisa 51–53 49.04%
mountain vs Jack-8 50–50 50.00%
mountain vs Anna 36–59 37.89%
mountain vs Clive 47–43 52.22%
mountain vs Eddy 48–40 54.55%
mountain vs Azucena 45–39 53.57%
mountain vs Asuka 34–45 43.04%
mountain vs Jun 39–40 49.37%
mountain vs Nina 33–37 47.14%
mountain vs Claudio 29–36 44.62%
mountain vs Xiaoyu 27–33 45.00%
mountain vs Zafina 26–34 43.33%
mountain vs Victor 35–21 62.50%
mountain vs Leo 28–24 53.85%
mountain vs Shaheen 23–28 45.10%
mountain vs Lidia 21–29 42.00%
mountain vs Leroy 17–28 37.78%
mountain vs Raven 26–19 57.78%
mountain vs Fahkumram 20–15 57.14%
mountain vs Kuma 11–22 33.33%
mountain vs Panda 12–16 42.86%
mountain vs Miary Zo 4–0 100.00%

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.