Curated collection of must-read books for sports analytics professionals, data scientists, and anyone looking to break into the sports industry. From foundational concepts to advanced analytics techniques.
4.6/5
by Michael Lewis
The classic book that started the sports analytics revolution. Follow the Oakland Athletics as they use data and statistics to compete against teams with much larger budgets. Essential reading for understanding how analytics changed baseball forever.
View on Amazon4.3/5
by Chris Anderson & David Sally
Groundbreaking analysis of soccer using data and statistics. Challenges conventional wisdom about the beautiful game and reveals hidden patterns that determine success. Perfect introduction to soccer analytics and statistical thinking in sports.
View on Amazon4.9/5
by Dean Oliver
A pioneer in the field of basketball analytics, Dean Oliver introduced a framework to understand basketball through the use of statistics in his book Basketball on Paper. In his follow-up, Basketball beyond Paper, Oliver lays out both the technical and personal aspects of his twenty-year experience in the NBA as he helped build the analytics that changed the game. He also looks at the people and technology that pushed those analytics forward.
View on Amazon4.5/5
by Seth Partnow
At its core, the goal of any basketball team is relatively simple: take and make good shots while preventing the opponent from doing the same. But what is a “good” shot? Are all good shots created equally? And how might one identify players who are more or less likely to make and prevent those shots in the first place?
View on Amazon4.4/5
by Nathan Yau
At its core, the goal of any basketball team is relatively simple: take and make good shots while preventing the opponent from doing the same. But what is a “good” shot? Are all good shots created equally? And how might one identify players who are more or less likely to make and prevent those shots in the first place?
View on AmazonWe're building a comprehensive library of sports analytics books covering:
• Advanced Statistical Methods
• Machine Learning in Sports
• Basketball Analytics
• Hockey Analytics
• Sports Betting & Odds
• Data Visualization
• Programming for Sports
• Industry Career Guides
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