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Parking the bus

Author

Listed:
  • Guan Tianyu

    (Department of Mathematics and Statistics, Brock University, 1812 Sir Isaac Brock Way, St. Catherines, Ontario L2S3A1, Canada)

  • Cao Jiguo

    (Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A1S6, Canada)

  • Swartz Tim B.

    (Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A1S6, Canada)

Abstract

This paper explores defensive play in soccer. The analysis is predicated on the assumption that the area of the convex hull formed by the players on a team provides a proxy for defensive style where small areas coincide with a greater defensive focus. With the availability of tracking data, the massive dataset considered in this paper consists of areas of convex hulls, related covariates and shots taken during matches. Whereas the pre-processing of the data is an exercise in data science, the statistical analysis is carried out using linear models. The resultant messages are nuanced but the primary message suggests that an extreme defensive style (defined by a small convex hull) is negatively associated with generating shots.

Suggested Citation

  • Guan Tianyu & Cao Jiguo & Swartz Tim B., 2023. "Parking the bus," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(4), pages 263-272, December.
    • Handle: RePEc:bpj:jqsprt:v:19:y:2023:i:4:p:263-272:n:6
    DOI: 10.1515/jqas-2021-0059
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    References listed on IDEAS

    as
    1. Bruno Gonçalves & Diogo Coutinho & Sara Santos & Carlos Lago-Penas & Sergio Jiménez & Jaime Sampaio, 2017. "Exploring Team Passing Networks and Player Movement Dynamics in Youth Association Football," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-13, January.
    2. Tao Chen & Qingliang Fan, 2018. "A functional data approach to model score difference process in professional basketball games," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(1), pages 112-127, January.
    3. Silva Rajitha M. & Swartz Tim B., 2016. "Analysis of substitution times in soccer," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(3), pages 113-122, September.
    4. Javier Fernandez-Navarro & Luis Fradua & Asier Zubillaga & Allistair P. McRobert, 2018. "Influence of contextual variables on styles of play in soccer," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 18(3), pages 423-436, May.
    5. Marius Ötting & Roland Langrock & Antonello Maruotti, 2023. "A copula-based multivariate hidden Markov model for modelling momentum in football," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 9-27, March.
    Full references (including those not matched with items on IDEAS)

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