A Machine Learning Approach for Player and Position Adjusted Expected Goals in Football

doi:doi:10.57702/2vzxqnu1

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A Machine Learning Approach for Player and Position Adjusted Expected Goals in Football

Football Event data, including 15,575 shots, used to develop and apply machine learning models for Expected Goals (xG) prediction

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The json representation of the dataset with its distributions based on DCAT.
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Cite this as

James Henry Hewitt, Oktay Karakus¸ (2024). Dataset: A Machine Learning Approach for Player and Position Adjusted Expected Goals in Football. https://doi.org/10.57702/2vzxqnu1

DOI retrieved: December 3, 2024

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Author	James Henry Hewitt
More Authors	Oktay Karakus¸
Homepage	https://github.com/statsbomb