The serve impact in tennis: First large‐scale study of big Hawk‐Eye data

DOI10.1002/SAM.11316OpenAlexW2576917530MaRDI QIDQ4970206

Sami Mecheri, Bruno Mantel, François Rioult, Nicolas Benguigui, François Kauffmann

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11316

zbMATH Keywords

performance analysistennislinear reconstructionMagnus effecthawk-eye data

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• The elements of statistical learning. Data mining, inference, and prediction

Related Items (1)

Rigorous kinetic analysis of the racket flick-motion in tennis for generating topspin and backspin

Uses Software

• R
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