A contextual analysis of crossing the ball in soccer

Wu Lucas Y., Danielson Aaron J., Hu X. Joan and Swartz Tim B. ()
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Wu Lucas Y.: Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby, V5A1S6, British Columbia, Canada
Danielson Aaron J.: Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby, V5A1S6, British Columbia, Canada
Hu X. Joan: Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby, V5A1S6, British Columbia, Canada
Swartz Tim B.: Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby, V5A1S6, British Columbia, Canada

Journal of Quantitative Analysis in Sports, 2021, vol. 17, issue 1, 57-66

Abstract: The action of crossing the ball in soccer has a long history as an effective tactic for producing goals. Lately, the benefit of crossing the ball has come under question, and alternative strategies have been suggested. This paper utilizes player tracking data to explore crossing at a deeper level. First, we investigate the spatio-temporal conditions that lead to crossing. Then we introduce an intended target model that investigates crossing success. Finally, a contextual analysis is provided that assesses the benefits of crossing in various situations. The analysis is based on causal inference techniques and suggests that crossing remains an effective tactic in particular contexts.

Keywords: association football; causal inference; event data; player tracking data (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1515/jqas-2020-0060

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