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 language | English |
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Pages | 135-136 |
Number of pages | 2 |
DOIs | |
Publication status | Published - 2024 |
Event | 15th International Conference on the Engineering of Sport: Engineering of Sports 15 - Loughborough University, Loughborough, United Kingdom Duration: 8 Jul 2024 → 10 Jul 2024 https://www.lboro.ac.uk/research/sti-isea-2024/ |
Conference
Conference | 15th International Conference on the Engineering of Sport |
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Abbreviated title | ISEA 2024 |
Country/Territory | United Kingdom |
City | Loughborough |
Period | 8/07/24 → 10/07/24 |
Internet address |
Keywords
- Football analytics
- xThreat
- Extended xThreat
- Player quality
- Football
- Soccer
- Markov chain
- Player scouting
- Action quality
- Expected Threat