Data-driven detection of counterpressing in professional football A supervised machine learning task based on synchronized positional and event data with expert-based feature extraction

• Published in: Data mining and knowledge discovery Vol. 35; no. 5; pp. 2009 - 2049
• Main Authors: Bauer, Pascal, Anzer, Gabriel
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2021
• Subjects: Application Papers; Artificial Intelligence; Chemistry and Earth Sciences; Computer Science; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Physics; Sports Analytics; Statistics for Engineering; Sports analytics; Football (Soccer); Applied machine learning; Positional and event data; Tactical performance analysis

Detecting counterpressing is an important task for any professional match-analyst in football (soccer), but is being done exclusively manually by observing video footage. The purpose of this paper is not only to automatically identify this strategy, but also to derive metrics that support coaches wi...