Advanced Basketball Data Science: With Applications in R (Chapman & Hall/CRC Data Science Series)

Advanced Basketball Data Science: With Applications in R is the essential next step for anyone looking to push basketball analytics beyond standard metrics.Expanding on the foundation of Basketball Data Science (2020), this book takes readers into the fast-evolving world of advanced statistical modeling, machine learning, and modern computational techniques applied to the game. From lineup optimization and clutch-performance analysis to player tracking, pose estimation, and ball-trajectory modeling, the book shows how cutting-edge data can reveal the hidden patterns that shape decision-making on and off the court.Readers learn not only what to analyze, but how to build robust, reproducible workflows using real data, fully executable R code, and a structured project environment. Designed for analysts, coaches, researchers, and graduate students, this volume translates complex concepts into actionable tools that can immediately elevate scouting, strategy, and performance evaluation.Wheth