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What is the difference between a winning and a losing team: insights from Euroleague basketball

(Worin besteht der Unterschied zwischen siegreichen und unterlegenen Mannschaften: Einblicke aus der Euroleague im Basketball)

The purpose of this study is to determine which game-related factors have the most influence on game outcome for basketball matches based on the 2016-2017 Euroleague season. Games are divided into three groups with cluster analysis based on final score differences. First, independent samples t-test is used to detect differences between winning and losing teams among game-related variables. Later, Bayesian Model Averaging is employed to determine key candidate variables. Finally, conditional interference classification trees are constructed for all game groups. According to classification tree results, true shooting percentage, steals and committed fouls separates winners from losers for the close games. While 2-point field goal made, 3-point field goal made, steals and defensive rebounds are crucial for the balanced games; 2-point field goal made and defensive rebounds are the most influential game statistics on the game outcome for the unbalanced games. The results from the classification trees implied that in close games, quality of the shots are more important than the quantity of shots, whereas, the inverse deduction can be made for balanced and unbalanced games. These results may show guidance to basketball coaches and players in terms of training and game preparation.
© Copyright 2018 International Journal of Performance Analysis in Sport. Taylor & Francis. Alle Rechte vorbehalten.

Schlagworte: Basketball Hochleistungssport Wettkampf Europa männlich Leistung Technik Taktik Angriff Abwehr Leistungsfaktor
Notationen: Spielsportarten
Tagging: maschinelles Lernen
DOI: 10.1080/24748668.2018.1446234
Veröffentlicht in: International Journal of Performance Analysis in Sport
Veröffentlicht: 2018
Jahrgang: 18
Heft: 1
Seiten: 55-68
Dokumentenarten: Artikel
Sprache: Englisch
Level: hoch