Basketball Analytics: Beginner's Guide to Data, Stats, & Strategy in Modern Basketball Software Tools, Visualization & Spatial Analytics Sports Scienc

By JEREMY CASSADY Ph.D.

Step into the future of basketball with a beginner-friendly deep dive into the world of analytics-where numbers meet court strategy, and data transforms how the game is played, coached, and understood.

Whether you're a student, coach, fan, or aspiring data analyst, this comprehensive guide walks you through the essentials of basketball analytics from simple statistics to advanced machine learning. Learn how to evaluate player performance, optimize lineups, predict injuries, and interpret real-time game flow using modern tools like Excel, Python, Tableau, and SQL.

Inside this book, you'll discover:

The evolution of analytics and how it's reshaping professional and college basketball

How to use statistical concepts like regression, probability, and correlation to uncover performance insights

Powerful tools and software used by real analysts and teams around the world

Techniques to analyze offensive and defensive schemes, player load, fatigue, and injury risks

Predictive modeling, AI in scouting, and the role of wearable tech in modern sports science

This isn't just about crunching numbers, it's about seeing the game with new eyes. Learn how data tells the story behind every possession, every substitution, and every win.

Whether you dream of working in a front office, improving your team's edge, or just understanding the strategy behind every play, Basketball Analytics is your entry point into the game's most exciting frontier.

Data doesn't lie-so let it guide your game.

• Format: Paperback
• Language: English
• ISBN: B0FFJHGYR4
• ISBN13: 9798289548245
• Release Date: June 2025
• Publisher: Independently Published
• Length: 168 Pages
• Weight: 0.89 lbs.
• Dimensions: 0.4" x 8.5" x 11.0"