Football/Soccer Data Analytics in Python - Getting Started with Football Data Analysis Using Python
This video on Football/Soccer Data Analytics is the introduction to the world of football analytics. It covers football data sources, key packages for football data analytics, and tools that enable us to dive deep into football data, transforming it into insights and stories that enrich our understanding of the sport.
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Contents:
0:00 Introduction to Football/Soccer Data Analytics with Python workshop
02:09 Football Analytics workshop plan
02:48 Introduction to Python for Football
04:27 Football/Soccer data sources & approaches
06:39 Data & Football analytics Python packages & libriaries
09:03 Football data analytics example in Jupyter Notebook
09:19 Importing data analytics & visualization libraries
09:35 Connecting to football data source
10:24 Transforming JSON to DataFrame
11:09 Filtering out necessary football data for visualization
12:15 Creating/drawing a football pitch
13:59 Creating/drawing a Pass Map
15:33 Creating/drawing a Pass Map by a player
17:37 Creating/drawing a Shots Map
19:59 Creating/drawing a Possession Chart
21:21 Football/Soccer Data Analytics workshop summary
Useful links:
Football Visualizations and Football Maps:
• Football Visualizations and Football Maps
StatsBomb Open Data:
https://github.com/statsbomb/open-data
mplsoccer Pithc plotting:
https://mplsoccer.readthedocs.io/en/l...
Getting Started with Football / Soccer Data API:
• Football / Soccer Data API and Football Da...
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