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1. Expected-Goals Expected-Goals Public

   Using wyscout data to create a xG model

   Jupyter Notebook 3 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