Pitch Control by William Spearman (Patreon)

Liverpool FC data scientist William Spearman's masterclass in pitch control

Pitch control is the probability that a player could control the ball assuming it is at that location. William Spearman explains: - The principles behind pitch control models. - How they can be used to investigate player positioning. - How to extend them to account for ball motion. - How to combine pitch control models with measures of danger. - Defining 'off-ball scoring opportunity' - Extensions to pitch control. Further reading... Link to pitch control demo: https://hudl.com/blog/open-space-and-passing-in-football Quantifying Pitch Control: https://researchgate.net/publication/334849056_Quantifying_Pitch_Control Physics-Based Modeling of Pass Probabilities in Soccer: https://researchgate.net/publication/315166647_Physics-Based_Modeling_of_Pass_Probabilities_in_Soccer Wide Open Spaces: A statistical technique for measuring space creation in professional soccer: https://researchgate.net/publication/324942294_Wide_Open_Spaces_A_statistical_technique_for_measuring_space_creation_in_professional_soccer Beyond Expected Goals: https://researchgate.net/publication/327139841_Beyond_Expected_Goals Probabilistic movement models and zones of control: https://researchgate.net/publication/326076300_Probabilistic_movement_models_and_zones_of_control Decomposing the Immeasurable Sport: A deep learning expected possession value framework for soccer: http://sloansportsconference.com/wp-content/uploads/2019/02/Decomposing-the-Immeasurable-Sport.pdf Seeing in to the future: using self-propelled particle models to aid player decision-making in soccer: http://sloansportsconference.com/wp-content/uploads/2020/02/SLOAN-Peralta-Final-submission.pdf The right place at the right time: Advanced off-ball metrics for exploiting an opponent’s spatial weaknesses in soccer: http://sloansportsconference.com/wp-content/uploads/2020/02/Llana_The-right-place-at-the-right-time.pdf