Institute of Sports Science

Dr. Pascal Bauer

Contact
Institute of Sports Science
Wilhelmstraße 124
pascalbauer55spam prevention@googlemail.com

Main research

  • Sports Analytics
  • Football (soccer) analytics
  • Machine Learning applications in football (soccer)

Short vita

2020-2022
Doctoral Thesis

Tübingen University

2017
Master of Science, Fundamental research in Mathematics

Saarland University

Selected publications

Journal articles

  • Bauer, P., & Anzer, G. (2021). 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. Data Mining and Knowledge Discovery, 35(5), 2009–2049.
  • Bauer, P., Anzer, G., & Smith, J. W. (2022). Individual role classification for players defending corners in football (soccer)—Categorisation of the defensive role for each player in a corner kick using positional data. Journal of Quantitative Analysis in Sports.
  • Anzer, G., & Bauer, P. (2021). A Goal Scoring Probability Model based on Synchronized Positional and Event Data. Frontiers in Sports and Active Learning (Special Issue: Using Artificial Intelligence to Enhance Sport Performance), 3(0), 1–18.
  • Anzer, G., & Bauer, P. (2021). Expected Passes—Determining the Difficulty of a Pass in Football (Soccer) Using Spatio-Temporal Data. Data Mining and Knowledge Discovery. doi.org/10.1007/s10618-021-00810-3.
  • Fassmeyer, D., Anzer, G., Bauer, P., & Brefeld, U. (2021). Toward Automatically Labeling Situations in Soccer. Frontiers in Sports and Active Living, 3(November).

Book chapters and other publications

  • Bauer, P. (2021). Automated Detection of Complex Tactical Patterns in Football using Positional and Event Data—Using Machine Learning Techniques to Identify Tactical Behavior. Universitätsbibliothek Tübingen. Eberhard Karls University Tübingen.
  • Bauer, P., Anzer, G., & Höner, O. (2021). The Identification of Counterpressing in Football. Chapter in Match Analysis Textbook, Routledge
  • Anzer, G., Bauer, P., Brefeld, U., & Fassmeyer, D. (2022). Detection of tactical patterns using semi-supervised graph neural networks. MIT Sloan Sports Analytics Conference, Boston, USA (Winner Paper of the MIT Sloan Research Paper Award 2022).

Functions and memberships

  • Senior Manager Data-Science & Machine Learning DFB-Akademie (2019 until today)
  • Data-Analyst for the German men’s National Team football (2020 until today).
  • Data-Scientist Zelus Analytics (2021 bis heute)
  • Member of the technical committee Fraunhofer Big Data & AI Allianz (2019 bis heute)