3 papers
stat.AP2026
Integrating Unsupervised and Supervised Learning for the Prediction of Defensive Schemes in American football
Rouven Michels, Robert Bajons, Jan-Ole Fischer
Anticipating defensive coverage schemes is a crucial yet challenging task for offenses in American football. Because defenders' assignments are intentionally disguised before the s…
stat.AP2026
Rethinking player evaluation in sports: Goals above expectation and beyond
Robert Bajons, Lucas Kook
A popular quantitative approach to evaluating player performance in sports involves comparing an observed outcome to the expected outcome ignoring player involvement, which is esti…
stat.ML2025
The path to a goal: Understanding soccer possessions via path signatures
David Hirnschall, Robert Bajons
We present a novel framework for predicting next actions in soccer possessions by leveraging path signatures to encode their complex spatio-temporal structure. Unlike existing appr…