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What is Machine Learning On Soccer Player Positions about?

The paper presents a novel approach using supervised machine learning to predict soccer player positions in real-time, enhancing sports analytics beyond traditional match result predictions. By analyzing data from professional soccer games, the authors developed a methodology that incorporates player and ball positions, allowing coaches to verify adherence to tactical guidelines. The study demonstrates the effectiveness of various classification algorithms, particularly the random tree algorithm, in achievi

Author

Shreekar

Language

EN