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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Big dan vs Kazuya 285–324 46.80%
Big dan vs Jin 247–265 48.24%
Big dan vs Law 246–263 48.33%
Big dan vs King 194–254 43.30%
Big dan vs Bryan 216–225 48.98%
Big dan vs Hwoarang 175–203 46.30%
Big dan vs Heihachi 163–197 45.28%
Big dan vs Steve 151–182 45.35%
Big dan vs Armor King 118–179 39.73%
Big dan vs Paul 136–156 46.58%
Big dan vs Reina 124–155 44.44%
Big dan vs Dragunov 112–162 40.88%
Big dan vs Yoshimitsu 106–145 42.23%
Big dan vs Lili 93–133 41.15%
Big dan vs Jun 102–114 47.22%
Big dan vs Fahkumram 54–139 27.98%
Big dan vs Lee 80–109 42.33%
Big dan vs Devil Jin 90–92 49.45%
Big dan vs Eddy 92–83 52.57%
Big dan vs Feng 66–97 40.49%
Big dan vs Asuka 67–93 41.88%
Big dan vs Nina 75–85 46.88%
Big dan vs Lars 70–89 44.03%
Big dan vs Azucena 62–95–1 39.49%
Big dan vs Lidia 67–86 43.79%
Big dan vs Victor 64–81 44.14%
Big dan vs Xiaoyu 62–77 44.60%
Big dan vs Alisa 56–80 41.18%
Big dan vs Clive 52–83 38.52%
Big dan vs Anna 50–63 44.25%
Big dan vs Leo 40–57 41.24%
Big dan vs Jack-8 34–45 43.04%
Big dan vs Claudio 38–40 48.72%
Big dan vs Kuma 33–40 45.21%
Big dan vs Leroy 28–39 41.79%
Big dan vs Raven 30–33 47.62%
Big dan vs Miary Zo 17–40 29.82%
Big dan vs Shaheen 15–31 32.61%
Big dan vs Zafina 14–26 35.00%
Big dan vs Panda 14–7 66.67%

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.