New
An Introduction to Applied Sport Analytics,
Edition 1Editors: By Jon Nachtigal and Daniel Krywaruczenko
Publication Date:
01 Nov 2026
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Description
An Introduction to Applied Sport Analytics offers a step-by-step path for applying data-driven methods in sport. The book begins with the evolution of sport analytics and foundational concepts like the Pythagorean theorem, correlation, and regression, then moves into hands-on instruction with industry tools such as Excel, SQL, R, Python, and Power BI. Along the way, readers learn how to explore data, evaluate performance, and make informed decisions across team operations, player valuation, and sport business strategy. The book features real-world examples, chapter exercises, and review questions designed to reinforce key concepts through application. A dedicated section on data visualization walks readers through designing reports and dashboards using Power BI and Tableau. It also introduces the growing role of artificial intelligence in sport, showing how tools like machine learning and coding assistants can enhance analysis. A robust ancillary program also provides support to students with additional practice opportunities. With its practical focus and clear structure, An Introduction to Applied Sport Analytics is ideal for undergraduate and graduate courses in sport management, analytics, and business, as well as for professionals seeking to build essential skills in a data-driven sport industry.Key Features
- Provides a clear and didactic understanding of essential concepts in sports analytics, including correlation and linear regression
- Includes numerous illustrations, examples, and case studies, which provide clear explanations and additional context
- Aligns with commonly offered upper-level courses in sports analytics, sports management, and related fields
- Serves as a valuable resource for students and as a solid foundational material for early-stage researchers
- Offers online support, including additional datasets, quizzes and solutions, and supplemental video content
About the author
By Jon Nachtigal, Assistant Professor, Florida Southern College, USA and Daniel Krywaruczenko, Assistant Professor, Centenary College of Louisiana, USA
Section I. Laying the Groundwork
1. The Evolution of Sport Analytics
2. The Pythagorean Theorem of Sports
Section II. Applying the Fundamentals
3. Applying the Pythagorean Theorem
4. Correlation
5. Simple Linear Regression
6. Multiple Linear Regression
7. Linear Weights and Probability
Section III. Visualizing the Game
8. Data Visualization
9. An Introduction to Microsoft Power BI
10. Power BI and Sport I
11. Power BI and Sport II
Section IV. Tools of the Trade
12. SQL
13. Python
14. R
15. Artificial Intelligence
Section V. Sharing Your Insights
16. Next Steps
1. The Evolution of Sport Analytics
2. The Pythagorean Theorem of Sports
Section II. Applying the Fundamentals
3. Applying the Pythagorean Theorem
4. Correlation
5. Simple Linear Regression
6. Multiple Linear Regression
7. Linear Weights and Probability
Section III. Visualizing the Game
8. Data Visualization
9. An Introduction to Microsoft Power BI
10. Power BI and Sport I
11. Power BI and Sport II
Section IV. Tools of the Trade
12. SQL
13. Python
14. R
15. Artificial Intelligence
Section V. Sharing Your Insights
16. Next Steps
ISBN:
9780443490682
Page Count:
250
Retail Price (USD)
:
Upper-level undergraduate and graduate students majoring in sport management, sport analytics, or related fields