Individualized speed threshold to analyze the game running demands in soccer players using GPS technology

  1. Francisco Javier Núñez-Sánchez 1
  2. Francisco Javier Toscano-Bendala 2
  3. Miguel Angel Campos-Vázquez 1
  4. Luis Jesus Suarez- Arrones 1
  1. 1 Universidad Pablo de Olavide, España
  2. 2 Universidad Católica San Antonio de Murcia, España
Journal:
Retos: nuevas tendencias en educación física, deporte y recreación

ISSN: 1579-1726,  1988-2041

Year of publication: 2017

Issue Title: Análisis del rendimiento deportivo

Issue: 32

Pages: 130-133

Type: Article

DOI: 10.47197/RETOS.V0I32.52871 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Retos: nuevas tendencias en educación física, deporte y recreación

Abstract

The aim of the study was to compare the relative running demands (m·min-1), among different soccer players positions, coded by an absolute threshold vs. an individualized threshold based on splits of 10% of peak velocity, during friendly games, with the same tactical system and monitoring with a GPS. To this end he had 20 players on a semiprofessional soccer team. All players were monitored with a unit GPS (15 hz SPI-pro W2b, GPSport, Canberra, Australia). They are measured peak velocity with a sprint of 40 m, and its activity in 4 friendly matches. The player’s activities were coded into five absolute speed thresholds and ten individualized speed thresholds. The absolute speed thresholds were: Very low intensity running (VLIR: 0- 7 km·h-1), Low intensity running (LIR: 7-13 km·h-1), medium intensity running (MIR: 13-18 km·h-1), high intensity running (HIR: 18-21 km·h-1), and very high intensity running (VHIR: >21 km·h-1). The individualized thresholds were from <10%, 10-20 %, 20-30%, 30-40%, 40-50%, 50-60%, 60- 70%, 70-80%, 80-90%, and >90% of peak velocity (PV). Variables are presented as the mean (± SD), and the estimated precision is indicated with 90% confidence limits (CL). In addition to the analyses for statistical significance (i.e., paired t-tests), possible differences between players’ position was analysed (pairwise comparisons) for practical significance using magnitude-based inferences. The 30% of players get 80-90% of its peak velocity in match and 2.5% reaches 90-100% of its peak velocity.

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