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  1. Expected-Goals Expected-Goals Public

    Using wyscout data to create a xG model

    Jupyter Notebook 4 1

  2. Expected-Threat-and-more Expected-Threat-and-more Public

    Deriving Expected threat as first introduced by Karun Singh in his blog post. Using this metric to further visualize the difference between the top 5 teams and players in the La-Liga 2017-2018 season.

    Jupyter Notebook 3

  3. NLSE-pytorch NLSE-pytorch Public

    Solving NLSE with the help of a feedforward neural network

    Python 1

  4. Pass-Networks Pass-Networks Public

    Trying to make Pass networks more intuitive as well as rich in information

    Jupyter Notebook

  5. Clustering Clustering Public

    Clustering Passes to analyze what teams do frequently.

    Jupyter Notebook

  6. unexpected-threat unexpected-threat Public

    Quantifying the quality of passing options available at any point of time.

    Python