Machine Learning and Data Mining for Sports Analytics: 12th International Workshop, MLSA 2025, Porto, Portugal, September 15, 2025, Revised Selected Papers

Author:   Hugo Rios-Neto ,  Pieter Robberechts ,  Maaike Van Roy ,  Albrecht Zimmermann
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032151643


Pages:   152
Publication Date:   17 February 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Machine Learning and Data Mining for Sports Analytics: 12th International Workshop, MLSA 2025, Porto, Portugal, September 15, 2025, Revised Selected Papers


Overview

This book constitutes the refereed proceedings of the 12th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2025, held in Porto, Portugal, on September 15, 2025.  The 11 full papers presented in this volume were carefully reviewed and selected from 24 submissions. They are grouped into the following topics: Individual sports; Soccer; Other team sports.

Full Product Details

Author:   Hugo Rios-Neto ,  Pieter Robberechts ,  Maaike Van Roy ,  Albrecht Zimmermann
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032151643


ISBN 10:   3032151643
Pages:   152
Publication Date:   17 February 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- Individual Sports .- Analysis of Service Returns in Table Tennis. .- Racing Beyond the Gate: Predicting Speedway Results with Expected Points (xP). .- Soccer .- Contextual Evaluation of Individual Contributions from Pressing Situations in Football. .- Beyond Outcome Bias: Incorporating Action Completion Probability and Risk-Return into Soccer Evaluation Models. .- Next-Event Prediction in Soccer: Assessing the Impact of Team and Player Information. .- A unified spatio-temporal graph model to predict multi-agent movement. .- Through the Gaps: Uncovering Tactical Line-Breaking Passes with Clustering. .- Pitch-wide space evaluation for soccer transitions. .- What Makes a Dribble Successful? Insights From 3D Pose Tracking Data. .- Other Team Sports .- Multidimensional heterogeneity learning for field goal attempt analysis of NBA players. .- Evaluating Movement Initiation Timing in Ultimate Frisbee via Temporal Counterfactuals.

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