Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Killer Python vs King 52–47 52.53%
Killer Python vs Reina 48–40 54.55%
Killer Python vs Kazuya 49–37 56.98%
Killer Python vs Jin 34–44 43.59%
Killer Python vs Steve 31–42 42.47%
Killer Python vs Lili 39–34 53.42%
Killer Python vs Bryan 36–34 51.43%
Killer Python vs Dragunov 36–33 52.17%
Killer Python vs Yoshimitsu 29–32 47.54%
Killer Python vs Eddy 33–25 56.90%
Killer Python vs Paul 20–30 40.00%
Killer Python vs Hwoarang 21–28 42.86%
Killer Python vs Law 28–20 58.33%
Killer Python vs Nina 26–22 54.17%
Killer Python vs Lee 11–32 25.58%
Killer Python vs Xiaoyu 19–23 45.24%
Killer Python vs Devil Jin 26–16 61.90%
Killer Python vs Azucena 20–22 47.62%
Killer Python vs Victor 23–19 54.76%
Killer Python vs Feng 22–18 55.00%
Killer Python vs Lars 17–23 42.50%
Killer Python vs Jun 15–24 38.46%
Killer Python vs Leroy 17–21 44.74%
Killer Python vs Lidia 17–20 45.95%
Killer Python vs Leo 16–20 44.44%
Killer Python vs Raven 15–20 42.86%
Killer Python vs Asuka 10–13 43.48%
Killer Python vs Alisa 15–7 68.18%
Killer Python vs Claudio 14–6 70.00%
Killer Python vs Kuma 11–7 61.11%
Killer Python vs Jack-8 10–7 58.82%
Killer Python vs Zafina 8–7 53.33%
Killer Python vs Clive 6–9 40.00%
Killer Python vs Shaheen 3–9 25.00%
Killer Python vs Panda 6–0 100.00%

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.