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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

leopard vs King 184–111 62.37%
leopard vs Hwoarang 182–82 68.94%
leopard vs Kazuya 141–89 61.30%
leopard vs Paul 128–79 61.84%
leopard vs Jin 130–70 65.00%
leopard vs Yoshimitsu 112–66 62.92%
leopard vs Bryan 99–62 61.49%
leopard vs Dragunov 96–61 61.15%
leopard vs Reina 95–47 66.90%
leopard vs Law 83–48 63.36%
leopard vs Steve 80–49 62.02%
leopard vs Alisa 81–46 63.78%
leopard vs Lili 66–53 55.46%
leopard vs Devil Jin 76–38 66.67%
leopard vs Feng 61–43 58.65%
leopard vs Xiaoyu 55–48 53.40%
leopard vs Asuka 68–34 66.67%
leopard vs Lars 69–32 68.32%
leopard vs Heihachi 60–41 59.41%
leopard vs Lee 63–29 68.48%
leopard vs Leroy 53–35 60.23%
leopard vs Claudio 47–37 55.95%
leopard vs Azucena 61–23 72.62%
leopard vs Jack-8 46–36 56.10%
leopard vs Victor 46–36 56.10%
leopard vs Jun 53–27 66.25%
leopard vs Leo 39–36 52.00%
leopard vs Lidia 36–24 60.00%
leopard vs Nina 34–25 57.63%
leopard vs Anna 27–31 46.55%
leopard vs Eddy 33–20 62.26%
leopard vs Zafina 31–19 62.00%
leopard vs Raven 28–18 60.87%
leopard vs Kuma 20–15 57.14%
leopard vs Shaheen 14–9 60.87%
leopard vs Clive 14–8 63.64%
leopard vs Fahkumram 14–3 82.35%
leopard vs Panda 4–5 44.44%
leopard vs Armor King 2–5 28.57%
leopard 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.