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Article

Match Analysis of Soccer Refereeing Using Spatiotemporal Data: A Case Study

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Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, 7000-812 Évora, Portugal
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Comprehensive Health Research Centre (CHRC), Universidade de Évora, 7000-812 Évora, Portugal
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Portugal Football School, Portuguese Football Federation, 1495-433 Oeiras, Portugal
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Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), University of Trás-os-Montes and Alto Douro, 5001-801 Vila Real, Portugal
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Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), University of Beira Interior, 6201-001 Covilhã, Portugal
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Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), University Institute of Maia (ISMAI), 4475-690 Maia, Portugal
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Author to whom correspondence should be addressed.
Academic Editor: Jose Luis Felipe Hernández
Sensors 2021, 21(7), 2541; https://doi.org/10.3390/s21072541
Received: 1 March 2021 / Revised: 31 March 2021 / Accepted: 1 April 2021 / Published: 5 April 2021
This case study explored how spatiotemporal data can develop key metrics to evaluate and understand elite soccer referees’ performance during one elite soccer match. The dynamic position of players from both teams, the ball and three elite referees allowed to capture the following performance metrics: (i) assistant referees: alignment with the second last defender; (ii) referee: referee diagonal movement—a position density was computed and a principal component analysis was carried to identify the directions of greatest variability; and (iii) referee: assessing the distance from the referee to the ball. All computations were processed when the ball was in-play and separated by 1st and 2nd halves. The first metric showed an alignment lower than 1 m between the assistant referee and the second last defender. The second metric showed that in the 1st half, the referee position ellipsis area was 548 m2, which increased during the 2nd half (671 m2). The third metric showed an increase in the distance from the referee to the ball and >80% of the distance between 5–30 m during the 2nd half. The findings may be used as a starting point to elaborate normative behavior models from the referee’s movement performance in soccer. View Full-Text
Keywords: performance analysis; refereeing; positional data; tracking systems; tactical positioning performance analysis; refereeing; positional data; tracking systems; tactical positioning
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MDPI and ACS Style

Gonçalves, B.; Coutinho, D.; Travassos, B.; Brito, J.; Figueiredo, P. Match Analysis of Soccer Refereeing Using Spatiotemporal Data: A Case Study. Sensors 2021, 21, 2541. https://doi.org/10.3390/s21072541

AMA Style

Gonçalves B, Coutinho D, Travassos B, Brito J, Figueiredo P. Match Analysis of Soccer Refereeing Using Spatiotemporal Data: A Case Study. Sensors. 2021; 21(7):2541. https://doi.org/10.3390/s21072541

Chicago/Turabian Style

Gonçalves, Bruno, Diogo Coutinho, Bruno Travassos, João Brito, and Pedro Figueiredo. 2021. "Match Analysis of Soccer Refereeing Using Spatiotemporal Data: A Case Study" Sensors 21, no. 7: 2541. https://doi.org/10.3390/s21072541

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