Dr. Pascal Bauer
Kontakt
Institut für Sportwissenschaft
Wilhelmstraße 124
pascalbauer55@googlemail.com
Forschungsschwerpunkte
- Sportinformatik
- Sport-Spieldatenanalyse
- Anwendungen des maschinellen Lernens im Sport
Kurzvita
2020-2022
Promotion
Eberhard Karls Universität Tübingen
2017
Master of Science, Mathematische Grundlagenforschung
Universität des Saarlandes
Ausgewählte Publikationen
Journalbeiträge
- 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).
Buchkapitel und andere Beiträge
- 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).
Funktionen
- Senior Manager Datenwissenschaft & maschinelles Lernen DFB-Akademie (2019 bis heute)
- Datenanalyst Deutsche Fußball-Nationalmannschaft Herren (2020 bis heute)
- Datenwissenschaftler Zelus Analytics (2021 bis heute)
- Mitglied Fachausschuss Fraunhofer Big Data & AI Allianz (2019 bis heute)