IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i9p5125-d800086.html
   My bibliography  Save this article

The Effect of the Video Assistant Referee System Implementation on Match Physical Demands in the Spanish LaLiga

Author

Listed:
  • José C. Ponce-Bordón

    (Faculty of Sport Sciences, University of Extremadura, Boulevard of the University s/n, 10003 Cáceres, Spain)

  • David Lobo-Triviño

    (Faculty of Sport Sciences, University of Extremadura, Boulevard of the University s/n, 10003 Cáceres, Spain)

  • Ana Rubio-Morales

    (Faculty of Sport Sciences, University of Extremadura, Boulevard of the University s/n, 10003 Cáceres, Spain)

  • Roberto López del Campo

    (LaLiga Sport Research Section, 28043 Madrid, Spain)

  • Ricardo Resta

    (LaLiga Sport Research Section, 28043 Madrid, Spain)

  • Miguel A. López-Gajardo

    (Faculty of Sport Sciences, University of Extremadura, Boulevard of the University s/n, 10003 Cáceres, Spain)

Abstract

The present study aimed to analyze the influence of the Video Assistant Referee (VAR) on match physical demands in the top Spanish professional football league. Match physical demand data from all the matches for two seasons (2017/2018 and 2018/2019) in the First Spanish Division ( n = 1454) were recorded using an optical tracking system (ChyronHego ® ). Total distance, relative total distance covered per minute, distance covered between 14–21 km·h −1 , distance covered between 21–24 km·h −1 , and distance covered at more than 24 km·h −1 were analyzed; also, the number of sprints between 21–24 km·h −1 and more than 24 km·h −1 were taken into consideration. The times the VAR intervened in matches were also taken into account. Results showed that total distance and relative total distance significantly decreased in seasons with VAR compared to seasons without VAR. Finally, distance covered between 21–24 km·h −1 , distance covered at more than 24 km·h −1 , and the number of high-intensity efforts between 21–24 km·h −1 and more than 24 km·h −1 increased in seasons with VAR compared to seasons without VAR, but the differences were nonsignificant. Thus, these findings help practitioners to better understand the effects of the VAR system on professional football physical performance and to identify strategies to reproduce competition demands.

Suggested Citation

  • José C. Ponce-Bordón & David Lobo-Triviño & Ana Rubio-Morales & Roberto López del Campo & Ricardo Resta & Miguel A. López-Gajardo, 2022. "The Effect of the Video Assistant Referee System Implementation on Match Physical Demands in the Spanish LaLiga," IJERPH, MDPI, vol. 19(9), pages 1-7, April.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5125-:d:800086
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/9/5125/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/9/5125/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eduard Pons & José Carlos Ponce-Bordón & Jesús Díaz-García & Roberto López del Campo & Ricardo Resta & Xavier Peirau & Tomas García-Calvo, 2021. "A Longitudinal Exploration of Match Running Performance during a Football Match in the Spanish La Liga: A Four-Season Study," IJERPH, MDPI, vol. 18(3), pages 1-10, January.
    2. Ibai Errekagorri & Julen Castellano & Ibon Echeazarra & Carlos Lago-Peñas, 2020. "The effects of the Video Assistant Referee system (VAR) on the playing time, technical-tactical and physical performance in elite soccer," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 20(5), pages 808-817, September.
    3. Lago-Peñas Carlos & Rey Ezequiel & Kalén Anton, 2019. "How does Video Assistant Referee (VAR) modify the game in elite soccer?," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 19(4), pages 646-653, July.
    4. Carlos Lago Peñas & Alexandre Dellal & Adam Lee Owen & Miguel Ángel Gómez-Ruano, 2015. "The influence of the extra-time period on physical performance in elite soccer," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 15(3), pages 830-839, December.
    5. Cuevas, Antonio & Febrero, Manuel & Fraiman, Ricardo, 2004. "An anova test for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 47(1), pages 111-122, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kim, Chang Hyun & Lee, Kyung Yul & Kwon, Young Sun, 2022. "Does the Video Assistant Referee (VAR) technology mitigate referee bias in professional football leagues?," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265643, International Telecommunications Society (ITS).
    2. Tommy Hamsund & Nicolas Scelles, 2021. "Fans’ Perceptions towards Video Assistant Referee (VAR) in the English Premier League," JRFM, MDPI, vol. 14(12), pages 1-16, November.
    3. Ana-Maria Staicu & Yingxing Li & Ciprian M. Crainiceanu & David Ruppert, 2014. "Likelihood Ratio Tests for Dependent Data with Applications to Longitudinal and Functional Data Analysis," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(4), pages 932-949, December.
    4. Yin, Xu & Wang, Jing & Li, Yurui & Feng, Zhiming & Wang, Qianyi, 2021. "Are small towns really inefficient? A data envelopment analysis of sampled towns in Jiangsu province, China," Land Use Policy, Elsevier, vol. 109(C).
    5. repec:cte:wsrepe:ws1503 is not listed on IDEAS
    6. repec:cte:wsrepe:ws140101 is not listed on IDEAS
    7. Ana Filipa Silva & Sümer Alvurdu & Zeki Akyildiz & Georgian Badicu & Gianpiero Greco & Filipe Manuel Clemente, 2022. "Variations of the Locomotor Profile, Sprinting, Change-of-Direction, and Jumping Performances in Youth Soccer Players: Interactions between Playing Positions and Age-Groups," IJERPH, MDPI, vol. 19(2), pages 1-13, January.
    8. Balogoun, Armando Sosthène Kali & Nkiet, Guy Martial & Ogouyandjou, Carlos, 2021. "Asymptotic normality of a generalized maximum mean discrepancy estimator," Statistics & Probability Letters, Elsevier, vol. 169(C).
    9. Jin-Ting Zhang & Xuehua Liang, 2014. "One-Way anova for Functional Data via Globalizing the Pointwise F-test," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(1), pages 51-71, March.
    10. Dalia Valencia & Rosa E. Lillo & Juan Romo, 2019. "A Kendall correlation coefficient between functional data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(4), pages 1083-1103, December.
    11. Lajos Horváth & Gregory Rice, 2015. "Testing Equality Of Means When The Observations Are From Functional Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(1), pages 84-108, January.
    12. Zhang, Jin-Ting & Cheng, Ming-Yen & Wu, Hau-Tieng & Zhou, Bu, 2019. "A new test for functional one-way ANOVA with applications to ischemic heart screening," Computational Statistics & Data Analysis, Elsevier, vol. 132(C), pages 3-17.
    13. A. Debòn & S. Haberman & F. Montes & E. Otranto, 2012. "Model effect on projected mortality indicators," Working Paper CRENoS 201215, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    14. Kraus, David, 2019. "Inferential procedures for partially observed functional data," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 583-603.
    15. Manteiga, Wenceslao Gonzalez & Vieu, Philippe, 2007. "Statistics for Functional Data," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 4788-4792, June.
    16. Alma Cohen & Zvika Neeman & Florian Auferoth, 2024. "Judging under Public Pressure," The Review of Economics and Statistics, MIT Press, vol. 106(1), pages 151-166, January.
    17. Hervé Cardot & Luboš Prchal & Pascal Sarda, 2007. "No effect and lack-of-fit permutation tests for functional regression," Computational Statistics, Springer, vol. 22(3), pages 371-390, September.
    18. Věroslav Holuša & Michal Vaněk & Filip Beneš & Jiří Švub & Pavel Staša, 2023. "Virtual Reality as a Tool for Sustainable Training and Education of Employees in Industrial Enterprises," Sustainability, MDPI, vol. 15(17), pages 1-24, August.
    19. Ana Debón & Steven Haberman & Francisco Montes & Edoardo Otranto, 2021. "Do Different Models Induce Changes in Mortality Indicators? That Is a Key Question for Extending the Lee-Carter Model," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    20. T. Górecki & Ł. Smaga, 2017. "Multivariate analysis of variance for functional data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(12), pages 2172-2189, September.
    21. Rafael Carvalho Ceregatti & Rafael Izbicki & Luis Ernesto Bueno Salasar, 2021. "WIKS: a general Bayesian nonparametric index for quantifying differences between two populations," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 274-291, March.
    22. Jiang, Qing & Hušková, Marie & Meintanis, Simos G. & Zhu, Lixing, 2019. "Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data," Journal of Multivariate Analysis, Elsevier, vol. 170(C), pages 202-220.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5125-:d:800086. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.