Prediction of defensive success in elite soccer using machine learning - Tactical analysis of defensive play using tracking data and explainable AI

Author:

Forcher Leander12ORCID,Beckmann Tobias3,Wohak Oliver3,Romeike Christian3,Graf Ferdinand3,Altmann Stefan14

Affiliation:

1. Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany

2. Match Analysis, TSG 1899 Hoffenheim, Zuzenhausen, Germany

3. D-Fine GmbH, Frankfurt am Main, Germany

4. Sport Physiology, TSG ResearchLab gGmbh, Zuzenhausen, Germany

Funder

no funding associated with the work featured in this article

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

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1. Machine Learning-Based Tennis Match Performance Prediction Model;Transactions on Computer Science and Intelligent Systems Research;2024-08-12

2. Identification of indicators that predict victory in the five main CONMEBOL and UEFA leagues;International Journal of Sports Science & Coaching;2024-05-26

3. Parking the bus or high pressing? Defensive tactical insights from the 2022 FIFA Men’s World Cup;Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology;2024-05-21

4. Computer aided technology based on graph sample and aggregate attention network optimized for soccer teaching and training;Journal of Big Data;2024-04-05

5. The Success Factors of Rest Defense in Soccer – A Mixed-Methods Approach of Expert Interviews, Tracking Data, and Machine Learning;Journal of Sports Science and Medicine;2023-12-01

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