Abstract
AbstractThe paper presents a computational approach to Availability of soccer players. Availability is defined as the probability that a pass reaches the target player without being intercepted by opponents. Clearly, a computational model for this probability grounds on models for ball dynamics, player movements, and technical skills of the pass giver. Our approach aggregates these quantities for all possible passes to the target player to compute a single Availability value. Empirically, our approach outperforms state-of-the-art competitors using data from 58 professional soccer matches. Moreover, our experiments indicate that the model can even outperform soccer coaches in assessing the availability of soccer players from static images.
Funder
Leuphana Universität Lüneburg
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Information Systems
Reference40 articles.
1. Akira F, Kokichi S (2005) Geometric analysis and quantitative evaluation of sport teamwork. Syst Comput Jpn 36(6):49–58
2. Bangsbo J, Peitersen B (2004) Offensive soccer tactics. Human Kinetics Publishers, Champaign
3. Battaglia PW, Hamrick JB, Bapst V, Sanchez-Gonzalez A, Zambaldi V, Malinowski M, Tacchetti A, Raposo D, Santoro A, Faulkner R et al (2018) Relational inductive biases, deep learning, and graph networks. arXiv:1806.01261
4. Bishop CM (1994) Mixture density networks. Technical Report NCRG_94_004, Aston University
5. Bransen L, van Haaren J, van de Michel V (2019) Measuring soccer players’ contributions to chance creation by valuing their passes. J Quant Anal Sports 15(2):97–116
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