Intro to Soccer Analytics

Course Description

This course introduces students to the field of soccer analytics, exploring the use of data and statistical techniques to assess player performance, team dynamics, and match strategies. Students will cover the essentials of soccer statistics, the evolution of advanced metrics in the sport, and the tools used by analysts to gain a competitive edge. The course is suitable for those new to soccer analytics, with no prior experience required.

Through comprehensive lectures, interactive projects, and real-world case studies, students will develop a solid understanding of how data is shaping the future of soccer. By the end of the course, students will be capable of analyzing player data, understanding key performance indicators, and applying analytic techniques to various aspects of the game.

What You’ll Learn?

• Foundations of Soccer Statistics: Learn the key metrics like Expected Goals (xG), Passing Accuracy, and Defensive Actions.
• Introduction to Soccer Analytics: Explore the role of analytics in scouting, team strategy, and match preparation in soccer.
• Data Collection and Analysis Tools: Gain hands-on experience with tools like Python and Power BI to collect, clean, and analyze soccer data.
• Player Evaluation Techniques: Understand how to assess player contributions in attack, midfield, and defense using both traditional and advanced statistics.
• Game Strategy Analysis: Learn how data-driven insights influence tactical decisions, formation choices, and in-game adjustments.
• Predictive Modeling in Soccer: Get an introduction to predictive modeling techniques for forecasting match outcomes and player development.
• Ethical Considerations in Soccer Analytics: Discuss the ethical challenges of using data in soccer, including issues of privacy, bias, and fairness.