Spatial Performance Indicators and Graphs in Basketball

Paola Zuccolotto (), Marco Sandri and Marica Manisera ()
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Paola Zuccolotto: University of Brescia
Marica Manisera: University of Brescia

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2021, vol. 156, issue 2, No 20, 725-738

Abstract: Abstract Assessing the scoring probability of teams and players in different areas of a court map is an important topic in basketball analytics, in order to define both game strategies and training programmes. In this contribution we propose a spatial statistical method based on classification trees, aimed to define a partition of the court in rectangles with maximally different shooting performances. Each analyzed team/player is characterized by its/his own partition, so comparisons can be made among different teams/players. In addition, shooting efficiency measures computed within the rectangles can be used to define spatial shooting performance indicators.

Keywords: Basketball analytics; Sports statistics; Decision trees; Performance analysis (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11205-019-02237-2

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