About Us

Welcome to the Chair of Sport Analytics—where data meets performance.

Focusing on ball sports and professional sports, we aim to use statistics and machine learning methods to analyse sports data. Our research seeks to provide evidence-based insights into hypotheses and trends in sports, ensuring  an objective foundation. The goal is for our findings to offer actionable insights, supporting and potentially automating processes in sports.

We apply our methods across a variety of ball sports, including football (soccer), handball, tennis, golf, and more. Potential research topics within or across these sports include tactical analysis, data-driven load management, and the quantification of performance at both player and team levels.

Sitting at the intersection of Informatics, Mathematics, and Sport Science, our department seeks to prepare the next generation of data-literate sports professionals. Through a curriculum that integrates statistical theory, programming, and sport-specific expertise, we equip students to manage and interpret large-scale datasets and turn them into strategic advantages for athletes, teams, and organizations.

Office Hour:

Office hours will be held every Friday from 16:00 PM to 17:00 PM during the semester, preferably in person in the sports analytics office. Please provide some notes on the topic or question you would like to discuss by 10:00 AM the day before the office hour via pascal.bauer(at)uni-saarland.de. Please use the e-mail subject “YYYY-MM-DD | Office Hour Sports Analytics | Your Name | Remote/Onsite” with the dater of the office hour you want to adress your question as well as an indication on whether you prefer to chat remote or onsite.