Individualized thresholds to analyze acceleration demands in soccer players using GPS (Umbrales individualizados para analizar las demandas en la aceleración en futbolistas usando GPS)

F. Javier Núñez, Francisco J. Toscano-Bendala, Luis Suarez-Arrones, F. Ignacio Martínez-Cabrera, Moisés De Hoyo

Resumen


Abstract. The aim of the present study was to analyze the number and the % of maximum accelerations, and the distance covered among different soccer players’ positions, classifying them with GPS technology according to an individual threshold based on the maximum acceleration capacity. 20 players were observed during four matches (n=80). All players undertook a maximal running speed test to determine the maximal acceleration. Players’ activities during the matches were classified into four individual acceleration thresholds: acceleration starting from 0 to 13 km·h-1 and never reaching 18 km·h-1 (A1); acceleration starting from 0 to 13 km·h-1 and reaching 18 km·h-1 (A2); acceleration starting from 13 to 18 km·h-1 (A3); and acceleration starting above 18 km·h-1 (A4). During A1, Full-Backs performed a higher number of accelerations compared to other playing positions and reached a ~95% of the maximum acceleration. During A2, Full-Backs and Wide Midfielder performed a higher number of accelerations than Central Defenders and Forwards, and Central Midfielders reached an estimated intensity of 95% of the maximum acceleration. During A3, CM performed the highest number of accelerations compared to the rest of the groups, while F reached an estimated intensity of 78% of their maximum acceleration. This individualized threshold could help coaches assess players’ physical performance and improve it, or to avoid injuries.

Resumen. El objetivo del presente estudio fue analizar el número, % de la aceleración máxima y la distancia recorrida por las diferentes posiciones de juego, clasificándolos según un umbral individual para cada jugador basado en la máxima capacidad de aceleraración usando la tecnología GPS. Un total de 20 jugadores fueron evaluados durante 4 partidos (n=80). Todos los participantes realizaron un sprint a la máxima velocidad de carrera para determinar su capacidad máxima de aceleración. La actividad de los jugadores durante los partidos fue dividida en 4 categorías individuales de aceleración: A1, aceleración de 0 a 13 km·h-1 y sin llegar a 18 km·h-1; A2, aceleración desde 0 hasta 13 km·h-1 y alcanzando 18 km·h-1; A3, aceleración que inicia desde los 13 km·h-1 hasta los 18 km·h-1; A4, aceleración que comienza a una velocidad >18 km·h-1. En A1, los defensas laterales realizaron un mayor número de aceleraciones en comparación con las otras demarcaciones de juego y logrando una intensidad ~ 95% de su aceleración máxima. En A2, los defensas laterales y centrocampistas laterales realizaron un mayor número de aceleraciones que los defensas centrales y delanteros, consiguiendo los centrocampistas una intensidad aproximada del 95% de su máxima aceleración. En A3, los centrocampistas realizaron una cantidad superior de aceleraciones que el resto de grupos, mientras que los delanteros lograron una intensidad aproximada del 78% de su máxima aceleración. Estos umbrales individualizados podrían ser de gran utilidad para permitir evaluar a los técnicos de forma más precisa el rendimiento físico de los jugadores, permitiéndoles con ello mejorar su rendimiento y prevenir lesiones en futbolistas.


Palabras clave


Acceleration, match analysis, soccer, GPS, physical performance (aceleración, análisis de partido, fútbol, GPS, rendimiento físico)

Texto completo:

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Referencias


Aughey, R. J. (2011). Increased high-intensity activity in elite Australian football finals matches. Int J Sports Physiol Perform, 6(3), 367–379.

Batterham, A. M., & Hopkins, W. G. (2006). Making meaningful inferences about magnitudes. Int J Sports Physiol Perform, 1(1), 50–57.

Bradley, P. S., Di Mascio, M., Peart, D., Olsen, P., & Sheldon, B. (2010). High-intensity activity profiles of elite soccer players at different performance levels. J Strength Cond Res, 24(9), 2343–2351.

Buchheit, M., Al Haddad, H., Simpson, B. M., Palazzi, D., Bourdon, P. C., Di Salvo, V., & Mendez-Villanueva, A. (2014). Monitoring accelerations with GPS in football: time to slow down? Int J Sports Physiol Perform, 9(3), 442–445.

Buchheit, M., Allen, A., Poon, T. K., Modonutti, M., Gregson, W., & Di Salvo, V. (2014b). Integrating different tracking systems in football: multiple camera semi-automatic system, local position measurement and GPS technologies. J Sports Sci, 32(20), 1844–1857.

Casamichana, D., Castellano, J., & Castagna, C. (2012). Comparing the physical demands of friendly matches and small-sided games in semiprofessional soccer players. J Strength Cond Res, 26(3), 837–843.

Coutts, A. J., & Duffield, R. (2010). Validity and reliability of GPS devices for measuring movement demands of team sports. J Sci Med Sport, 13(1), 133–135.

Cummins, C., Orr, R., O’Connor, H., & West, C. (2013). Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review. Sports Med, 43(10), 1025–1042.

Dalen, T., Ingebrigtsen, J., Ettema, G., Hjelde, G. H., & Wisloff, U. (2016). Player load, acceleration, and deceleration during forty-five competitive matches of elite soccer. J Strength Cond Res, 30(2), 351–359.

Duffield, R., Reid, M., Baker, J., & Spratford, W. (2010). Accuracy and reliability of GPS devices for measurement of movement patterns in confined spaces for court-based sports. J Sci Med Sport, 13, 523-525.

Hopkins, W. G. (2007). A spreadsheet to compare means of two groups. Sportscience, 11, 22–24.

Hopkins, W. G., Marshall, S. W., Batterham, A. M., & Hanin, J. (2009). Progressive statistics for studies in sports medicine and exercise science. Med Sci Sport Exerc, 41(1), 3–13.

Ingebrigtsen, J., Dalen, T., Hjelde, G. H., Drust, B., & Wisloff, U. (2015). Acceleration and sprint profiles of a professional elite football team in match play. Eur J Sport Sci, 15(2), 101–110.

Jennings, D., Cormack, S. J., Coutts, A. J., & Aughey, R. J. (2012). GPS analysis of an international field hockey tournament. Int J Sports Physiol Perform, 7(3), 224–231.

Mendez-Villanueva, A., Buchheit, M., Simpson, B., Peltola, E., & Bourdon, P. (2011). Does on-field sprinting performance in young soccer players depend on how fast they can run or how fast they do run? J Strength Cond Res, 25(9), 2634–2638.

Randers, M. B., Mujika, I., Hewitt, A., Santisteban, J., Bischoff, R., Solano, R., Zubillaga, A., Peltola, E., Krustrup, P., & Mohr, M. (2010). Application of four different football match analysis systems: a comparative study. J Sports Sci, 28(2), 171–182.

Sonderegger, K., Tschopp, M., & Taube, W. (2016). The challenge of evaluating the intensity of short actions in soccer: a new methodological approach using percentage acceleration. PLoS One, 11(11), e0166534.

Suarez-Arrones, L., Torreño, N., Requena, B., Saez De Villarreal, E., Casamichana, D., Barbero-Alvarez, J. C., & Munguia-Izquierdo, D. (2015). Match-play activity profile in professional soccer players during official games and the relationship between external and internal load. J Sports Med Phys Fitness, 55(12), 1417–1422.

Varley, M. C., Fairweather, I. H., & Aughey, R. J. (2012). Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion. J Sports Sci, 30(2), 121–127.

Varley, M., & Aughey, R. (2013). Acceleration profiles in elite Australian soccer. Int J Sports Med, 34(1), 34–39.

Varley, M. C., Gabbett, T., & Aughey, R.J. (2014). Activity profiles of professional soccer, rugby league and Australian football match play. J Sports Sci, 32(20), 1858–1866.

Winter, E. M., & Maughan, R.J. (2009). Requirements for ethics approvals. J Sports Sci, 27(10), 985–985.


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