In professional sports, particularly football, the evolution of quantitative analysis has been a game-changer. With technology continuously reshaping how we understand and interpret game dynamics, the accuracy and efficiency of data collection methods are more critical than ever. The latest research by  the PhD candidate Jonas Bischofberger and Prof. Baca validates a two-step, rule-based algorithm for detecting passes and shots in football, challenging the accuracy of current methods. Utilizing four diverse datasets, they've implemented a comprehensive validation routine that meticulously accounts for the temporal, hierarchical, and imbalanced nature of sports analytics.

For more, check: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0298107