Dataset Groups Activity Stream 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 BibTex: @dataset{James_Henry_Hewitt_and_Oktay_Karakus¸_2024, abstract = {Football Event data, including 15,575 shots, used to develop and apply machine learning models for Expected Goals (xG) prediction}, author = {James Henry Hewitt and Oktay Karakus¸}, doi = {10.57702/2vzxqnu1}, institution = {No Organization}, keyword = {'Expected Goals', 'Football', 'Machine Learning', 'Player Performance', 'Shots'}, month = {dec}, publisher = {TIB}, title = {A Machine Learning Approach for Player and Position Adjusted Expected Goals in Football}, url = {https://service.tib.eu/ldmservice/dataset/a-machine-learning-approach-for-player-and-position-adjusted-expected-goals-in-football}, year = {2024} }
