Skip to content

Deriving Expected threat as first introduced by Karun Singh in his blog post. Using this metric to further visualize the difference between the top 5 teams and players in the La-Liga 2017-2018 season.

Notifications You must be signed in to change notification settings

icegorilla12/Expected-Threat-and-more

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Expected-Threat-and-more

Deriving Expected threat, introduced by Karun Singh in his blog post. Using this metric to further visualise the difference between top 5 teams in the La-Liga 2017-2018 season.

xT Deviation from average -

Atletico Madrid creates more threat than average in front of the goal whereas Real Madrid is slightly more efficient from the right hand side

Frequency of shots -

Barcelona are hesitant to shoots even when in front of the goal. Whereas Valencia and Villareal take more shots from zones which have a lower probability of a goal being scored.

Transition Matrix for the top right corner

Barcelona tend to play short passes instead of putting in crosses, whereas Real Madrid and Villareal tend to cross the ball into the box more.

Pass Sonars

Pass Frequency

Pass sonars help to visualise pass direction and individual player pass trends.

**Here the bar lenghts are absolute, Busquets creates lesser threat than Messi owing to his role in the team.

Expected Threat

**Bar Length equals the xT generated from the passes in this direction.

Iniesta creates lesser threat than Messi

About

Deriving Expected threat as first introduced by Karun Singh in his blog post. Using this metric to further visualize the difference between the top 5 teams and players in the La-Liga 2017-2018 season.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published