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Analysing football data provided by StatsBomb in Python.

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Football Data Science ⚽

football data science

The purpose of this project is to explore and practice on the open data provided by StatsBomb. The dataset provided covers the 2018/2019 FA Women's Super League, 2018 Fifa World Cup and the 2018 US NWSL. Our analysis primarily focusses on the 2018 Fifa World Cup however there is room to expand to other competitions in the future. More details on the competitions are stored here.

-- Project Status: [Active]

Methods

  • Exploratory Statistical Analysis
  • Predictive Modeling
  • Data Visualisation
  • Data Munging/Processing

Tools

  • Python
  • Pandas, jupyter
  • Matplotlib

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Contributors

Name Handle
Steven K @skarmaniolos

Contact

  • Feel free to contact me on Twitter: @skarmaniolos for any questions!

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Analysing football data provided by StatsBomb in Python.

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