Machine Learning and Data Mining for Sports Analytics

Sports Data Analytics: An Art and a Science.- Foot ball/ soccer.- ETSY: A rule-based approach to Event and Tracking data Synchronization.- Masked Autoencoder Pretraining for Event Classi cation in Elite Soccer.- Quanti cation of Turnover Danger with xCounter.- Pass Receiver and Outcome Prediction in Soccer Using Temporal.- Graph Networks.- Field Depth Matters: Comparing the Valuation of Passes in Football.- Basket ball.- Momentum matters: investigating high-pressure situations in the NBA through scoring probability.- Are Sports Awards About Sports? Using AI to Find the Answer.- The Big Three: a practical framework for designing Decision Support.- Systems in Sports and an application for basketball.- Ot her t eam sp ort s.- What data should be collected for a good handball Expected Goal model? .-Identifying Player Roles in Ice Hockey.- Position Prediction.- Boat speed prediction in SailGP.- Individual sp ort s.- Exploring Table Tennis Analytics: Domination, Expected Score and Shot Diversity.- Specialization Evaluation.- Exploiting Clustering for Sports Data Analysis: A Study of Public and Real-world Datasets.