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Published in: Social Indicators Research 2-3/2021

30-11-2019 | Original Research

Spatial Performance Indicators and Graphs in Basketball

Authors: Paola Zuccolotto, Marco Sandri, Marica Manisera

Published in: Social Indicators Research | Issue 2-3/2021

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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.

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Metadata
Title
Spatial Performance Indicators and Graphs in Basketball
Authors
Paola Zuccolotto
Marco Sandri
Marica Manisera
Publication date
30-11-2019
Publisher
Springer Netherlands
Published in
Social Indicators Research / Issue 2-3/2021
Print ISSN: 0303-8300
Electronic ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-019-02237-2

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