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Sports Analytics

Overview

This repository contains examples for sports analytics with Exasol. Please follow the corresponding blog post for a detailed walk thro

Prerequisite

  • Runnning Exasol instance or Exasol community edition
  • Write access to the BucketFS

Usage

  1. You have to publish the provided sports analytics Python scripting-language Docker container to your Exasol instance. This container provides every Python packages needed for the different examples.

  2. Choose your showcase ;)

Showcases

Voronoi diagramm for position data

Voronoi diagramms can be used to indentify the space on the pitch controlled by a single player. The coresponding blog post can be found at the Exasol homepage: https://www.exasol.com/en/blog/controlling-space-in-football/

Voronoi

Convex hull for position data

In football defending teams want to have a compact shape to defend the dangerous areas in front of the goal. Attacking teams want to play wide, to strech the defence. A convex hull diagram can be used to visualize this team shape. Using the stretch factor as indicator of the compactness helps to measure the time, how a long team needs to get the correct shape during a transition phase.

Convex Hull

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A collection of examples for sports analytics with Exasol

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