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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

GODDESS vs King 181–189 48.92%
GODDESS vs Bryan 165–200 45.21%
GODDESS vs Dragunov 190–171 52.63%
GODDESS vs Jin 177–177 50.00%
GODDESS vs Hwoarang 141–202 41.11%
GODDESS vs Kazuya 139–140 49.82%
GODDESS vs Lili 140–134 51.09%
GODDESS vs Steve 107–145 42.46%
GODDESS vs Lars 125–127 49.60%
GODDESS vs Reina 133–116 53.41%
GODDESS vs Yoshimitsu 164–84 66.13%
GODDESS vs Devil Jin 102–125 44.93%
GODDESS vs Law 115–107 51.80%
GODDESS vs Asuka 118–94 55.66%
GODDESS vs Paul 84–114 42.42%
GODDESS vs Lee 91–103 46.91%
GODDESS vs Victor 109–85 56.19%
GODDESS vs Feng 89–88 50.28%
GODDESS vs Xiaoyu 85–87 49.42%
GODDESS vs Heihachi 88–84 51.16%
GODDESS vs Alisa 89–82 52.05%
GODDESS vs Leo 87–83 51.18%
GODDESS vs Jun 77–91 45.83%
GODDESS vs Nina 73–86 45.91%
GODDESS vs Azucena 85–72 54.14%
GODDESS vs Jack-8 73–66 52.52%
GODDESS vs Eddy 71–65 52.21%
GODDESS vs Shaheen 62–69 47.33%
GODDESS vs Kuma 60–58 50.85%
GODDESS vs Lidia 50–60 45.45%
GODDESS vs Raven 49–55 47.12%
GODDESS vs Leroy 43–60 41.75%
GODDESS vs Claudio 47–51 47.96%
GODDESS vs Zafina 55–39 58.51%
GODDESS vs Anna 45–36 55.56%
GODDESS vs Fahkumram 29–31 48.33%
GODDESS vs Panda 33–24 57.89%
GODDESS vs Armor King 26–24 52.00%
GODDESS vs Clive 10–21 32.26%
GODDESS vs Miary Zo 8–12 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.