Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

loser vs Bryan 129–53 70.88%
loser vs Kazuya 90–52 63.38%
loser vs Armor King 78–60 56.52%
loser vs Fahkumram 77–57 57.46%
loser vs King 72–45 61.54%
loser vs Jin 58–42 58.00%
loser vs Dragunov 53–41 56.38%
loser vs Heihachi 49–44 52.69%
loser vs Paul 44–39 53.01%
loser vs Law 43–38 53.09%
loser vs Steve 51–29 63.75%
loser vs Devil Jin 47–29–3 61.84%
loser vs Hwoarang 37–28 56.92%
loser vs Lili 33–32 50.77%
loser vs Lee 37–24 60.66%
loser vs Yoshimitsu 30–25 54.55%
loser vs Azucena 31–23 57.41%
loser vs Lars 29–20 59.18%
loser vs Reina 32–17 65.31%
loser vs Asuka 19–22 46.34%
loser vs Xiaoyu 26–14 65.00%
loser vs Alisa 18–15 54.55%
loser vs Feng 16–16 50.00%
loser vs Leo 17–14 54.84%
loser vs Clive 26–5 83.87%
loser vs Claudio 22–8 73.33%
loser vs Anna 12–17 41.38%
loser vs Raven 18–9 66.67%
loser vs Nina 13–11 54.17%
loser vs Lidia 9–15 37.50%
loser vs Leroy 20–3 86.96%
loser vs Zafina 12–8 60.00%
loser vs Victor 11–9 55.00%
loser vs Jun 10–8 55.56%
loser vs Jack-8 10–7 58.82%
loser vs Eddy 11–5 68.75%
loser vs Miary Zo 7–8 46.67%
loser vs Kuma 7–7 50.00%
loser vs Panda 3–9 25.00%
loser vs Shaheen 3–8 27.27%

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.