Affiliation:
1. Department of Statistics and Actuarial Science, Simon Fraser University , 8888 University Drive, Burnaby BC , Canada V5A1S6
Abstract
Abstract
Accepted by: Phil Scarf
This paper investigates optimal target locations for throw-ins in soccer. The investigation is facilitated by the use of tracking data which provide the positioning of players measured at frequent intervals (i.e. 10 times per second). The methods for the investigation are necessarily causal since there are confounding variables that impact both the throw-in location and the result of the throw-in. A simple causal analysis indicates that on average, backwards throw-ins are beneficial and lead to an extra two shots per 100 throw-ins. We also observe that there is a benefit to long throw-ins where on average, they result in roughly four more shots per 100 throw-ins. These results are corroborated by a more complex causal analysis that relies on the spatial structure of throw-ins.
Publisher
Oxford University Press (OUP)
Subject
Applied Mathematics,Management Science and Operations Research,Strategy and Management,General Economics, Econometrics and Finance,Modeling and Simulation,Management Information Systems
Reference22 articles.
1. An introduction to propensity score methods for reducing the effects of confounding in observational studies;Austin;Multivariate Behav. Res.,2011
2. A causal investigation of pace of play in soccer;Epasinghege Dona;Statistica Applicata – Italian Journal of Applied Statistics,2023
3. Using statistics to detect match fixing in sport;Forrest;IMA J. Manag. Math.,2019
4. Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
5. Random Forests with R
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献