Machine Learning and Data Mining for Sports Analytics : 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings

This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation. Front Matter ....Pages i-x Front Matter ....Pages 1-1 Routine Inspection: A Playbook for Corner Kicks (Laurie Shaw, Sudarshan Gopaladesikan)....Pages 3-16 How Data Availability Affects the Ability to Learn Good xG Models (Pieter Robberechts, Jesse Davis)....Pages 17-27 Low-Cost Optical Tracking of Soccer Players (Gabor Csanalosi, Gergely Dobreff, Alija Pasic, Marton Molnar, László Toka)....Pages 28-39 An Autoencoder Based Approach to Simulate Sports Games (Ashwin Vaswani, Rijul Ganguly, Het Shah, Sharan Ranjit S, Shrey Pandit, Samruddhi Bothara)....Pages 40-50 Physical Performance Optimization in Football (Gergely Dobreff, Péter Revisnyei, Gábor Schuth, György Szigeti, László Toka, Alija Pašić)....Pages 51-61 Predicting Player Trajectories in Shot Situations in Soccer (Per Lindström, Ludwig Jacobsson, Niklas Carlsson, Patrick Lambrix)....Pages 62-75 Front Matter ....Pages 77-77 Stats Aren’t Everything: Learning Strengths and Weaknesses of Cricket Players (Swarup Ranjan Behera, Vijaya V. Saradhi)....Pages 79-88 Prediction of Tiers in the Ranking of Ice Hockey Players (Timmy Lehmus Persson, Haris Kozlica, Niklas Carlsson, Patrick Lambrix)....Pages 89-100 Front Matter ....Pages 101-101 A Machine Learning Approach for Road Cycling Race Performance Prediction (Leonid Kholkine, Tom De Schepper, Tim Verdonck, Steven Latré)....Pages 103-112 Mining Marathon Training Data to Generate Useful User Profiles (Jakim Berndsen, Barry Smyth, Aonghus Lawlor)....Pages 113-125 Learning from Partially Labeled Sequences for Behavioral Signal Annotation (Anna Aniszewska-Stępień, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso)....Pages 126-139 Back Matter ....Pages 141-141