Extended xThreat: an explainable quality assessment method for actions in football using game context

K.W. van Arem, Mirjam Bruinsma

Research output: Contribution to conferenceAbstractScientific

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Abstract

In the last decade, systematic collection of data is increasingly being used in the world of football which enables the use of mathematics to improve the performance of individual players and teams. The choice for either a xThreat model or a VAEP-like model gives a trade-off between explainability and the ability to take in-game context into account. The main goal of this paper is to create an extended xThreat (expected threat) model that can include game context, thus aiming for explainability while taking into account contextual variables.
Original languageEnglish
Pages135-136
Number of pages2
DOIs
Publication statusPublished - 2024
Event15th International Conference on the Engineering of Sport: Engineering of Sports 15 - Loughborough University, Loughborough, United Kingdom
Duration: 8 Jul 202410 Jul 2024
https://www.lboro.ac.uk/research/sti-isea-2024/

Conference

Conference15th International Conference on the Engineering of Sport
Abbreviated titleISEA 2024
Country/TerritoryUnited Kingdom
CityLoughborough
Period8/07/2410/07/24
Internet address

Keywords

  • Football analytics
  • xThreat
  • Extended xThreat
  • Player quality
  • Football
  • Soccer
  • Markov chain
  • Player scouting
  • Action quality
  • Expected Threat

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