Professional Soccer Analytics and Visualization

A Data-Driven Approach to Professional Soccer/Football

First Edition

For undergraduate students with basic statistics and Python knowledge

Bridging the gap between academic theory and professional practice in the beautiful game

About This Textbook

This comprehensive textbook provides a complete education in soccer analytics, covering fundamental concepts through cutting-edge techniques used by elite clubs worldwide. With 28 chapters, 200+ code examples, and 56+ case studies, it prepares students for careers in professional sports analytics and front office decision-making.

Technology Stack: - Python 3.8+ - pandas, numpy, matplotlib, seaborn - scikit-learn, statsmodels - mplsoccer, socceraction

"Football is a simple game made complicated by people who should know better." — Bill Shankly

2024 Edition