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Kofi Nyantakyi Appiah, Nathanael Adu, Divyanshu Kumar Singh, Edward Edem Nartey

A fully reproducible expected-goals (xG) modelling pipeline is presented as an interpretable machine learning approach using open football event data from StatsBomb for La Liga 2015/2016 and the 2018 ...

International Journal of Data Science and Analytics 2026-04-21 rs-9175702
Expected goals soccer analytics machine learning logistic regression mixed-effects models
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