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arXiv · 2507.12504

Transforming Football Data into Object-centric Event Logs with Spatial Context Information

Vito Chan·Lennart Ebert·Paul-Julius Hillmann·Christoffer Rubensson·Stephan A. Fahrenkrog-Petersen·Jan Mendling
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Abstract

Object-centric event logs expand the conventional single-case notion event log by considering multiple objects, allowing for the analysis of more complex and realistic process behavior. However, the number of real-world object-centric event logs remains limited, and further studies are needed to test their usefulness. The increasing availability of data from team sports can facilitate object-centric process mining, leveraging both real-world data and suitable use cases. In this paper, we present a framework for transforming football (soccer) data into an object-centric event log, further enhanced with a spatial dimension. We demonstrate the effectiveness of our framework by generating object-centric event logs based on real-world football data and discuss the results for varying process representations. With our paper, we provide the first example for object-centric event logs in football analytics. Future work should consider variant analysis and filtering techniques to better handle variability

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Vito Chan, Lennart Ebert, Paul-Julius Hillmann, Christoffer Rubensson, Stephan A. Fahrenkrog-Petersen, Jan Mendling. 2025-07-16. Transforming Football Data into Object-centric Event Logs with Spatial Context Information. https://arxiv.org/abs/2507.12504

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