Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Declined

Ratings

Declined vs Kazuya 94–68 58.02%
Declined vs Jin 83–71 53.90%
Declined vs Bryan 72–75 48.98%
Declined vs King 57–73 43.85%
Declined vs Steve 58–68 46.03%
Declined vs Hwoarang 51–59 46.36%
Declined vs Yoshimitsu 46–52 46.94%
Declined vs Reina 45–52 46.39%
Declined vs Paul 36–41 46.75%
Declined vs Lili 38–39 49.35%
Declined vs Dragunov 34–40 45.95%
Declined vs Law 41–30 57.75%
Declined vs Victor 31–32 49.21%
Declined vs Azucena 29–27 51.79%
Declined vs Heihachi 29–25 53.70%
Declined vs Devil Jin 27–24 52.94%
Declined vs Lee 27–23 54.00%
Declined vs Asuka 26–23 53.06%
Declined vs Nina 25–14 64.10%
Declined vs Jun 22–17 56.41%
Declined vs Kuma 17–19 47.22%
Declined vs Eddy 15–21 41.67%
Declined vs Feng 7–27 20.59%
Declined vs Lars 13–21 38.24%
Declined vs Xiaoyu 19–14 57.58%
Declined vs Lidia 18–15 54.55%
Declined vs Jack-8 14–15 48.28%
Declined vs Claudio 13–13 50.00%
Declined vs Alisa 13–10 56.52%
Declined vs Leroy 12–11 52.17%
Declined vs Leo 13–9 59.09%
Declined vs Raven 13–9 59.09%
Declined vs Armor King 12–7 63.16%
Declined vs Shaheen 3–10 23.08%
Declined vs Zafina 6–5 54.55%
Declined vs Clive 2–9 18.18%
Declined vs Fahkumram 2–8 20.00%
Declined vs Panda 3–5 37.50%
Declined vs Anna 0–1 0.00%

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.