Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KONHUITS vs Kazuya 112–166 40.29%
KONHUITS vs Dragunov 85–98 46.45%
KONHUITS vs Bryan 86–89 49.14%
KONHUITS vs Reina 98–71 57.99%
KONHUITS vs Paul 83–83 50.00%
KONHUITS vs Jin 75–89 45.73%
KONHUITS vs Hwoarang 70–84 45.45%
KONHUITS vs Heihachi 58–84 40.85%
KONHUITS vs Steve 73–66 52.52%
KONHUITS vs King 64–66 49.23%
KONHUITS vs Lili 68–61 52.71%
KONHUITS vs Asuka 49–43 53.26%
KONHUITS vs Devil Jin 29–51 36.25%
KONHUITS vs Claudio 37–41 47.44%
KONHUITS vs Jun 41–32 56.16%
KONHUITS vs Victor 33–38 46.48%
KONHUITS vs Yoshimitsu 28–40 41.18%
KONHUITS vs Clive 26–40 39.39%
KONHUITS vs Law 30–33 47.62%
KONHUITS vs Lars 18–41 30.51%
KONHUITS vs Jack-8 21–35 37.50%
KONHUITS vs Azucena 25–31 44.64%
KONHUITS vs Lee 20–28 41.67%
KONHUITS vs Xiaoyu 15–32 31.91%
KONHUITS vs Alisa 18–28 39.13%
KONHUITS vs Lidia 21–25 45.65%
KONHUITS vs Feng 19–25 43.18%
KONHUITS vs Leroy 19–23 45.24%
KONHUITS vs Fahkumram 18–18 50.00%
KONHUITS vs Eddy 15–20 42.86%
KONHUITS vs Nina 19–12 61.29%
KONHUITS vs Leo 11–15 42.31%
KONHUITS vs Anna 17–7 70.83%
KONHUITS vs Armor King 12–10 54.55%
KONHUITS vs Kuma 4–16 20.00%
KONHUITS vs Shaheen 7–11 38.89%
KONHUITS vs Raven 5–10 33.33%
KONHUITS vs Miary Zo 7–7 50.00%
KONHUITS vs Zafina 8–5 61.54%
KONHUITS vs Panda 2–2 50.00%

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.