معرفی
Robert Bajons is a researcher at the Department of Statistics and Mathematics within the Faculty of Statistics and Mathematics at Vienna University of Economics and Business (WU Wien). His work bridges statistical theory with practical sports analytics applications across soccer and American football domains.
His research focuses on Sports Analytics and Machine Learning, specializing in player evaluation systems, statistical modeling of game dynamics, and development of novel metrics like Expected Points and Plus-minus models. Key methodologies include adaptive logistic lasso regularization, curve clustering for movement analysis, and machine learning inference frameworks.
Analysis of his recent publications reveals strong trends in soccer analytics (xG modeling, possession sequences) and American football strategy (tackle valuation, pass rush routes). His work consistently applies advanced statistical techniques to sports data, with emphasis on actionable insights for team performance optimization.
Award Highlights:
- Best Presentation Award at ICoMS 2023
Bajons actively disseminates research through scientific lectures including "Machine learning based statistical inference in sports analytics" (May 2025) and "PEP: Evaluating Tackles in American Football" (May 2024), demonstrating strong engagement with the international sports analytics community. His research shows consistent publication output with three 2025 publications already in press.
