Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

SorryImLearning vs King 97–133 42.17%
SorryImLearning vs Bryan 90–118 43.27%
SorryImLearning vs Kazuya 99–92 51.83%
SorryImLearning vs Jin 83–107 43.68%
SorryImLearning vs Law 60–92 39.47%
SorryImLearning vs Reina 66–82 44.59%
SorryImLearning vs Heihachi 52–78 40.00%
SorryImLearning vs Steve 45–74 37.82%
SorryImLearning vs Paul 56–61 47.86%
SorryImLearning vs Lili 43–52 45.26%
SorryImLearning vs Dragunov 44–51 46.32%
SorryImLearning vs Hwoarang 46–48 48.94%
SorryImLearning vs Asuka 50–41 54.95%
SorryImLearning vs Yoshimitsu 40–50 44.44%
SorryImLearning vs Xiaoyu 35–43 44.87%
SorryImLearning vs Lee 30–47 38.96%
SorryImLearning vs Jun 35–38–1 47.95%
SorryImLearning vs Azucena 33–41 44.59%
SorryImLearning vs Fahkumram 35–38 47.95%
SorryImLearning vs Armor King 31–36 46.27%
SorryImLearning vs Eddy 33–32 50.77%
SorryImLearning vs Clive 16–40 28.57%
SorryImLearning vs Feng 32–21 60.38%
SorryImLearning vs Alisa 32–21 60.38%
SorryImLearning vs Lidia 25–27 48.08%
SorryImLearning vs Devil Jin 16–34 32.00%
SorryImLearning vs Anna 16–31 34.04%
SorryImLearning vs Victor 20–25 44.44%
SorryImLearning vs Raven 20–24 45.45%
SorryImLearning vs Lars 15–28 34.88%
SorryImLearning vs Leo 22–18 55.00%
SorryImLearning vs Claudio 8–29 21.62%
SorryImLearning vs Leroy 20–14 58.82%
SorryImLearning vs Miary Zo 14–19 42.42%
SorryImLearning vs Nina 10–21 32.26%
SorryImLearning vs Jack-8 13–17 43.33%
SorryImLearning vs Shaheen 10–12 45.45%
SorryImLearning vs Kuma 8–14 36.36%
SorryImLearning vs Zafina 8–8 50.00%
SorryImLearning vs Panda 9–5 64.29%

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.