Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Dr_Dreek vs Kazuya 98–95 50.78%
Dr_Dreek vs Bryan 81–89 47.65%
Dr_Dreek vs Jin 74–74 50.00%
Dr_Dreek vs King 64–82 43.84%
Dr_Dreek vs Reina 88–49 64.23%
Dr_Dreek vs Steve 57–73 43.85%
Dr_Dreek vs Lili 54–62 46.55%
Dr_Dreek vs Dragunov 43–57 43.00%
Dr_Dreek vs Yoshimitsu 44–46 48.89%
Dr_Dreek vs Armor King 42–46 47.73%
Dr_Dreek vs Eddy 54–33 62.07%
Dr_Dreek vs Jun 38–46 45.24%
Dr_Dreek vs Hwoarang 29–54 34.94%
Dr_Dreek vs Law 27–54 33.33%
Dr_Dreek vs Lars 34–47 41.98%
Dr_Dreek vs Heihachi 31–50 38.27%
Dr_Dreek vs Asuka 34–43 44.16%
Dr_Dreek vs Xiaoyu 33–40 45.21%
Dr_Dreek vs Victor 29–40 42.03%
Dr_Dreek vs Azucena 37–26 58.73%
Dr_Dreek vs Lee 30–30 50.00%
Dr_Dreek vs Paul 32–27 54.24%
Dr_Dreek vs Feng 25–30 45.45%
Dr_Dreek vs Alisa 27–28 49.09%
Dr_Dreek vs Nina 24–28 46.15%
Dr_Dreek vs Raven 21–24 46.67%
Dr_Dreek vs Miary Zo 22–21 51.16%
Dr_Dreek vs Devil Jin 14–25 35.90%
Dr_Dreek vs Leo 22–17 56.41%
Dr_Dreek vs Jack-8 14–23 37.84%
Dr_Dreek vs Zafina 16–16 50.00%
Dr_Dreek vs Leroy 11–14 44.00%
Dr_Dreek vs Clive 11–14 44.00%
Dr_Dreek vs Kuma 9–15 37.50%
Dr_Dreek vs Shaheen 9–12 42.86%
Dr_Dreek vs Fahkumram 8–13 38.10%
Dr_Dreek vs Lidia 11–9 55.00%
Dr_Dreek vs Claudio 9–9 50.00%
Dr_Dreek vs Anna 5–12 29.41%
Dr_Dreek vs Panda 3–6 33.33%

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.