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Football Analytics Hackathon

SG860024Support Electives5 ECTSEnglishwinter semesterTUM School of Medicine and Health
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You work in interdisciplinary teams on real questions from football analysis. Using tracking and event data, you develop algorithms for recognizing tactical/technical concepts, validate the results against video, and prepare meaningful metrics and visualizations for performance analysis.

What you will be able to do

  • Understand typical professional sports data (spatiotemporal tracking, event data)
  • Apply methods of computer science (network analysis, machine learning, visual analytics) to football phenomena
  • Develop sports data products for media, information providers and elite sport

What the module consists of

  • Blockveranstaltung (08.01.2024–13.01.2024)Central component: collaborative work on hackathon challenges
  • Vorbereitende Sitzungen (erste 4 Wochen des Semesters)Practice of exercises and data prior knowledge before the block

Teaching method

  • Projektarbeit in interdisziplinären TeamsSolve concrete match-analysis tasks from real tracking and event data
  • Implementierung intelligenter Algorithmen und VisualisierungenDerive complex performance indicators and provide interpretable representations
  • Validierung mittels VideoanalyseVerify detection quality and validate the results
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Official page in TUMonline · Details are not binding.