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Codes, data and functionsCodes, data and functions for reproducing the case studies presented throughout the book. Code tested on both Windows and macOS, using R version 4.5.2 and RStudio version 2025.09.2+418, and on Ubuntu Linux 25.10 (64-bit, kernel 6.17) using R version 4.5.1 and RStudio version 2025.09.2+418. |
1 Getting Started: Overview and Supporting Materials
I – Analyzing and comparing game splits
2 Beyond individual skills
3 Drilling down on clutch splits: measuring performance
when it matters most
4 The race to the finish: exploring the relationship between season
segments and final rankings
II – Decoding motion
5 Understanding players’ spatial dynamics
6 Athletic motion kinematics analysis
7 Tracking and analyzing ball trajectories
III – Spatial performance analysis
8 Basketball performance maps based on court segmentation
9 Scoring probability maps via machine learning algorithms
