This book presents sports analytics from a spatial perspective. This means that instead of discussing box scores, the focus is on where things happened. Where did a shot come from? How far and fast did a player run? You will gain experience with Python geospatial tools to store, manipulate, analyze, and visualize the latest in open sports data. This book covers both event-based and tracking data for basketball (NBA), ice hockey (NHL), and football/soccer. The initial chapters introduce you to the Python language on Google’s Colab environment, and then provide you with the fundamental tools to analyze any spatial sports data.
A Spatial Perspective on Sports Analytics
£7.30
Author: David S. Lamb
Published: 2021
This book presents sports analytics from a spatial perspective. This means that instead of discussing box scores, the focus is on where things happened. Where did a shot come from? How far and fast did a player run? You will gain experience with Python geospatial tools to store, manipulate, analyze, and visualize the latest in open sports data. This book covers both event-based and tracking data for basketball (NBA), ice hockey (NHL), and footballsoccer. The initial chapters introduce you to the Python language on Google’s Colab environment, and then provide you with the fundamental tools to analyze any spatial sports data.
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