CodesCodes for reproducing the case studies presented throughout the book with
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All the data are in .Rdata format and can be used to reproduce the analyses presented in the book on other datasets
Pbox1819, Tbox1819, Obox1819, Tadd1819 having the same structure of Pbox, Tbox, Obox, Tadd)PbP.BDB.CLE having the same structure of PbP.BDB; note that the data frame has to be manipulated with PbP.CLE <- PbPmanipulation(PbP.BDB.CLE) in order to obtain a file with the same structure of PbP, as explained in Section 2.1 of the book). Data have been kindly made available by BigDataBall, a data provider which leverages computer-vision technologies to richen and extend sports datasets with lots of unique metrics. Since its establishment, BigDataBall has also supported many academic studies and is referred as a reliable source of validated and verified stats for NBA, MLB, NFL and WNBA.Yiğit Aşık (2023), Examples of analysis of Alperen Şengün’s performance. Contact for information.
Jack, O. (2023). Statistics in Basketball: Settling NBA Debates analytically. Bachelor Degree Thesis, University of Luxembourg (supervisor: Christophe Ley).
Fox, A., Manisera, M., Sandri, M., & Zuccolotto, P. (2022). Analyzing Basketball Data with BasketballAnalyzeR. CHANCE, 35(3), 42-56.
Blanco, A. T. (2022). Implementación del paquete de R BasketballAnalyzeR, Máster en Estadística Aplicada, Escuela Internacional de Posgrado, Granada, Spain.
Zuccolotto, P., Manisera, M., & Sandri, M. (2021). Alley‐oop! Basketball analytics in R. Significance, 18(2), 26-31.
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