Physical Demands in the Worst-Case Scenarios of Elite Futsal Referees Using a Local Positioning System

  1. Gemma Martinez-Torremocha 1
  2. Javier Sanchez-Sanchez 2
  3. Antonio Alonso-Callejo
  4. Maria Luisa Martin-Sanchez 2
  5. Carlos Serrano 2
  6. Leonor Gallardo 1
  7. Jorge Garcia-Unanue 1
  8. Jose Luis Felipe 1
  1. 1 Gobierno de Castilla La Mancha
    info

    Gobierno de Castilla La Mancha

    Toledo, España

  2. 2 Universidad Europea de Madrid
    info

    Universidad Europea de Madrid

    Madrid, España

    ROR https://ror.org/04dp46240

Revista:
Sensors

ISSN: 1424-8220

Año de publicación: 2023

Volumen: 23

Número: 21

Páginas: 8662

Tipo: Artículo

DOI: 10.3390/S23218662 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Sensors

Resumen

The aim of this study is to analyze the worst-case scenarios of professional futsal referees during the first and second half of official matches in the Spanish Futsal Cup using a Local Positioning System (LPS) for monitoring their movement patterns. Eight professional futsal referees (40 ± 3.43 years; 1.80 ± 0.03 m; 72.84 ± 4.01 kg) participated in the study. The external load (total distance, high-speed running distance and efforts, sprint distance and efforts, and accelerations and decelerations distances) of the referees was monitored and collected using an LPS. The results revealed significant differences in the worst-case scenarios of the futsal referees during the match according to the time window analyzed (p < 0.05). The longest time windows (120 s, 180 s, and 300 s) showed lower relative total distances in the worst-case scenarios (p < 0.05). The high-speed running distances were significatively higher in the first half for the 120 s (+2.65 m·min−1; ES: 1.25), 180 s (+1.55 m·min−1; ES: 1.28), and 300 s (+0.95 m·min−1; ES: 1.14) time windows (p < 0.05). No differences were found between the first and second half for the high-intensity deceleration distance (p > 0.05). These results will serve to prepare the referees in the best conditions for the competition and adapt the training plans to the worst-case scenarios.

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