Soccer Analytics

This course will examine the data collection process, application, and management practices as it applies to soccer, specifically Major League Soccer and the National Women’s Soccer League. Using soccer as a platform to explore techniques, students will develop a working knowledge of the practical applications of analysis and models used to make management decisions within an organization and a professional league. With growing global connectivity, and access to data across various international leagues, the ability to embrace in-game analytics to improve team's performance, evaluate talent, develop in-game strategies, and more efficiently manage their roster in order to create financial value for their stakeholders has become an invaluable skill. In response to the sports industry turning more towards application of analytics and critical thinking skills, Soccer Analytics aims to develop students into managers who can make decisions, based on provided models, regarding both player and team valuations. Students should be able to demonstrate the capability to apply advanced critical thinking skills to sports business issues and have the ability to integrate objective analysis with subjective judgment in a way that adds value to decision processes. The class will be taught through a combination of lectures, class discussion, group presentations and guest speakers. Each class will include a review of the reading assignments noted in the syllabus, and students are expected to be fully prepared. Students are required to read assignments from the texts as well as additional sources provided by the professor. Students must attend class prepared to engage in discussions; have, articulate and defend a point of view; and ask questions and provide comments based on their reading.