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DataBallPy Documentation - Home
  • Welcome to DataBallPy!

Introduction

  • Overview
  • Intro to Event Data
  • Intro to Tracking Data

Getting Started

  • Installation
  • Loading in a Game
  • Preprocessing
  • Visualizing Soccer Data
  • Synchronizing Tracking and Event Data

Features

  • Covered Distances
  • Pressure
  • Team and Player Possession
  • Expected Goals (xG)
  • Expected Threat (xT)
  • Space Occupation

API Documentation

  • Game and get_game
  • Visualize

Contributing

  • Contributing: Quick Overview
  • Getting Started with GitHub
  • Dependency Managing: Poetry
  • Clean Code Principles
  • Testing Code
  • Code of Conduct
  • Repository
  • Open issue

Index

G | P | S

G

  • get_game() (in module databallpy)
  • get_open_game() (in module databallpy)
  • get_saved_game() (in module databallpy)

P

  • plot_events() (in module databallpy.visualize)
  • plot_soccer_pitch() (in module databallpy.visualize)
  • plot_tracking_data() (in module databallpy.visualize)

S

  • save_tracking_video() (in module databallpy.visualize)

By Alexander Oonk

© Copyright Copyright 2024, Alexander Oonk.

DataBallPy: Load, Synchronize, and Analyze your soccer data