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Getting started:

  • Getting Started
  • Using Statsbomb
  • Using Wyscout
  • Sign test
  • Using t-tests

1, Event Data:

  • Visualising football
  • Plotting shots
  • Plotting passes
  • Passing networks
  • Case study: decentralised football
  • Pass heat maps
  • Case study: attacking play
  • Case study: 5-second rule
  • Improving your visuals

2, Models:

  • Statistical models
  • Linear regression
  • Case study: Possession
  • Introducing expected goals
  • Fitting the xG model
  • Case study: the geometry of shooting
  • History and application of xG

3, Scouting:

  • Statistical scouting
  • Radar plots
  • Case study: spreadsheet scouting
  • Other approaches to scouting

4, Valuing actions:

  • Evaluating actions
  • Markov chains
  • Expected Threat - Position-based
  • Calculating xT (position-based)
  • Expected Threat - Action-based
  • Possesion Chains
  • Calculating xT (action-based)
  • Case study: value and context

5, Randomness and prediction:

  • Simulating a match
  • Unavoidable randomness
  • Simulating results
  • Predicting football matches
  • Calculating match outcomes
  • Statistical modelling
  • Team KPIs
  • Points Moving Average
  • Case study: Long term trend at Hammarby

6, Pitch control :

  • Controlling Space
  • Making Voronoi Diagrams
  • Case study: defence in attack
  • Pass probability

7, Positioning and Movement:

  • Valuing off-ball actions
  • Case study: off-ball runs
  • Off-ball movement metrics
  • Expected Goals including player positions

8, Physical Data:

  • Physical data
  • Calculate distance-based metrics for player fitness
  • Modelling the relationship between EPV added and distance covered

9, Clustering:

  • Clustering progressive passes
  • Clustering players

10, Making a Web App:

  • Installing Streamlit
  • Twelve Visualisations
  • Twelve Community
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© Copyright 2022, David Sumpter (code and text), Aleksander Andrzejewski (code).

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