¿Es posible proponer una estrategia de periodización diferente de la U invertida en pretemporada? Una comparación entre dos equipos de fútbol profesional (Is it possible to propose a periodization strategy different from the inverted U in preseason? A comparison between two professional football teams)

Autores/as

DOI:

https://doi.org/10.47197/retos.v56.103792

Palabras clave:

GPS, carga de entrenamiento, deportes de equipo, periodización, monitorización

Resumen

Objetivo: el objetivo principal de este estudio fue cuantificar y comparar las cargas externas semanales de pretemporada en dos equipos de fútbol profesional. Métodos: Los dispositivos GPS monitorearon diariamente a cuarenta y cinco jugadores de dos equipos durante un período de pretemporada de cinco semanas. Las medidas de carga externa fueron: número de sesiones, duración total, carga de aceleración (aLoad), distancia total (TD), distancia a >21 km·h-1 (TD21), distancia a >24 km·h-1 (TD24) y Player-Load® (PL). Resultados: hubo diferencias en la carga externa semanal entre ambos equipos. El Equipo1 entrenó un 30% más de tiempo y sesiones de entrenamiento que el Equipo2, por lo que la carga semanal para todas las variables de carga externa fue mayor excepto para aLoad y TD21 para W1 (Equipo2>Equipo1, p<0,05). Estas diferencias entre equipos no fueron similares para todas las semanas, con mayores diferencias en las semanas 2, 3 y 4. Mientras que el Equipo2 propuso una distribución más estable y progresiva en distancias de alta velocidad (TD21 y TD24) entre semanas, el Equipo1 utilizó la U invertida. modelo. En esta línea, las variaciones entre semanas fueron menores para el Equipo2 (del -4% al 38%) que para el Equipo1 (del -26% al 1.653%). Conclusiones: La principal conclusión del estudio fue que además de una gestión de carga con modelo de U invertida, más extendida en el fútbol profesional, se puede proponer una estrategia de distribución de carga más estable y progresiva en la pretemporada en el ámbito profesional.

Palabras clave: GPS, carga de entrenamiento, deportes de equipo, periodización, seguimiento.

Abstract.Purpose: the main aim of this study was to quantify and compare the weekly external loads of pre-season in two professional football teams. Methods: GPS devices monitored forty-five players in two teams daily in a five-week pre-season period. The external load measures were: number of sessions, total duration, acceleration load (aLoad), total distance (TD), distance at >21 km·h-1 (TD21), distance at >24 km·h-1 (TD24) and Player-Load® (PL). Results: there were differences in the weekly external load between both teams. Team1 trained 30% more time and training sessions than Team2, so the weekly load for all external load variables was higher except for aLoad and TD21 for W1 (Team2>Team1, p<0.05). These differences between teams were not similar for all weeks, with higher differences in weeks 2, 3, and 4. While Team2 proposed a distribution more stable and progressive in high-speed distances (TD21 and TD24) among weeks, Team1 used the inverted U model. In this line, variations between weeks were lower for Team2 (from -4% to 38%) than for Team1 (from -26% to 1,653%). Conclusions: The study's main conclusion was that in addition to a load management with an inverted U model, more widespread in professional football, a more stable and progressive distribution strategy can be proposed in pre-season in a professional setting.

Keywords: GPS, training load, team sports, periodization, monitoring.

Citas

Algrøy, E. A., Hetlelid, K. J., Seiler, S., & Pedersen, J. I. S. (2011). Quantifying training intensity distribution in a group of Norwegian professional football players. International Journal of Sports Physiology and Performance, 6(1), 70-81. doi:10.1123/ijspp.6.1.70

Anderson, L., Orme, P., Di Michele, R., et al. (2016). Quantification of training load during one-, two- and three-game week schedules in professional football players from the English Premier League: implications for carbohy-drate periodization. Journal of Sports Sciences, 34(13), 1250-1259. doi:10.1080/02640414.2015.1106574

Banister, E., Calvert, T., Savage, M., & Bach, A. (1975). A system model of training for athletic performance. Australi-an Journal of Sports Medicine, 7, 170-176.

Boyd, L. J., Ball, K., & Aughey, R. J. (2011). The reliability of minimaxx accelerometers for measuring physical activi-ty in Australian football. International Journal of Sports Physiology and Performance, 6(3), 311-321. doi:10.1123/ijspp.6.3.311

Buchheit, M., & Simpson, B. M. (2017). Player-Tracking Technology: Half-Full or Half-Empty Glass? International Journal of Sports Physiology and Performance, 12, 35-41.

Buchheit, M., Lacome, M., Cholley, Y., & Simpson, B. M. (2018). Neuromuscular responses to conditioned football sessions assessed via GPS-Embedded accelerometers: Insights into tactical periodization. International Journal of Sports Physiology and Performance, 13(5), 577-583. doi:10.1123/ijspp.2017-0045

Campos-Vazquez, M. A., Toscano-Bendala, F. J., Mora-Ferrera, J. C., & Suarez-Arrones, L. J. (2017). Relationship between internal load indicators and changes on intermittent performance after the preseason in professional foot-ball players. Journal of Strength and Conditioning Research, 31(6), 1477-1485. doi:10.1519/JSC.0000000000001613

Casamichana, D., Castellano, J., Calleja-Gonzalez, J., RomaN, J. S., & Castagna, C. (2013). Relationship between indicators of training load in football players. Journal of Strength and Conditioning Research, 27(2), 369-374. doi:10.1519/JSC.0b013e3182548af1

Castillo, D., Raya-Gonzalez, J., Weston, M., & Yanci, J. (2019). Distribution of External Load During Acquisition Training Sessions and Match Play of a Professional Football Team. *Journal of Strength and Conditioning Re-search, *August. doi:10.1519/JSC.0000000000003363

Cetolin, T., Teixeira, A. S., Netto, A. S., et al. (2018). Training loads and RSA and aerobic performance changes dur-ing the preseason in youth football squads. Journal of Human Kinetics, 65(1), 235-248. doi:10.2478/hukin-2018-0032

Clemente, F. M., Seerden, G., & van der Linden, C. M. I. (2019). Quantifying the physical loading of five weeks of pre-season training in professional football teams from Dutch and Portuguese leagues. Physiology & Behavior, 209(June), 112588. doi:10.1016/j.physbeh.2019.112588

Coppalle, S., Rave, G., Ben Abderrahman, A., et al. (2019). Relationship of pre-season training load with in-season biochemical markers, injuries and performance in professional football players. Frontiers in Physiology, 10(APR), 1-11. doi:10.3389/fphys.2019.00409

Cross, M. J., Williams, S., Trewartha, G., Kemp, S. P. T., & Stokes, K. A. (2016). The influence of in-season training loads on injury risk in professional rugby union. International Journal of Sports Physiology and Performance, 11(3), 350-355. doi:10.1123/ijspp.2015-0187

Delaney, J. A., Cummins, C. J., Thornton, H. R., & Duthie, G. M. (2018). Importance, reliability, and usefulness of acceleration measures in team sports. Journal of Strength and Conditioning Research, 32(12), 3485-3493. doi:10.1519/jsc.0000000000001849

Delaney, J. A., Duthie, G. M., Thornton, H. R., Scott, T. J., Gay, D., & Dascombe, B. J. (2016). Acceleration-based running intensities of professional rugby league match play. International Journal of Sports Physiology and Performance, 11(6), 802-809. doi:10.1123/ijspp.2015-0424

Delgado-Bordonau, J. L., & Mendez-Villanueva, A. (2012). Tactical Periodization. *Football Journal, *(June), 28-34.

Fessi, M. S., Zarrouk, N., Di Salvo, V., Filetti, C., Barker, A. R., & Moalla, W. (2016). Effects of tapering on physical match activities in professional football players. Journal of Sports Sciences, 34(24), 2189-2194. doi:10.1080/02640414.2016.1171891

Gabbett, T. J. (2004). Influence of training and match intensity on injuries in rugby league. Journal of Sports Sciences, 22(5), 409-417. doi:10.1080/02640410310001641638

Gabbett, T. J. (2016). The training-injury prevention paradox: Should athletes be training smarter and harder? British Journal of Sports Medicine, 50(5), 273-280. doi:10.1136/bjsports-2015-095788

Gabbett, T. J., Nassis, G. P., Oetter, E., et al. (2017). The athlete monitoring cycle: A practical guide to interpreting and applying training monitoring data. British Journal of Sports Medicine, 51(20), 1451-1452. doi:10.1136/bjsports-2016-097298

Gaudino, P., Iaia, F. M., Strudwick, A. J., et al. (2015). Factors influencing perception of effort (session rating of per-ceived exertion) during elite football training. International Journal of Sports Physiology and Performance, 10(7), 860-864. doi:10.1123/ijspp.2014-0518

Hopkins, W. G., Marshall, S. W., Batterham, A. M., & Hanin, J. (2009). Progressive Statistics for Studies in Sports Medicine and Exercise Science. Medicine & Science in Sports & Exercise, 41(1), 3-12. doi:10.1249/MSS.0b013e31818cb278

Hoppe, M. W., Baumgart, C., Polglaze, T., & Freiwald, J. (2018). Validity and reliability of GPS and LPS for measur-ing distances covered and sprint mechanical properties in team sports. PLoS One, 13(2), 1-21. doi:10.1371/journal.pone.0192708

Jeong, T. S., Reilly, T., Morton, J., Bae, S. W., & Drust, B. (2011). Quantification of the physiological loading of one week of “pre-season” and one week of “in-season” training in professional football players. Journal of Sports Sciences, 29(11), 1161-1166. doi:10.1080/02640414.2011.583671

Losada-Benitez JA, Nuñez-Sánchez FJ, and Barbero-Álvarez JC (2023). Quantifying technical load and physical activi-ty in professional soccer players during pre-season matches with IMU technology. Front. Physiol. 14:1274171. doi: 10.3389/fphys.2023.1274171

Malone, J. J., Di Michele, R., Morgans, R., Burgess, D., Morton, J. P., & Drust, B. (2015). Seasonal training-load quantification in elite English Premier League football players. International Journal of Sports Physiology and Perfor-mance, 10(4), 489-497. doi:10.1123/ijspp.2014-0352

Malone, S., Owen, A., Newton, M., Mendes, B., Collins, K. D., & Gabbett, T. J. (2017). The acute:chronic workload ratio in relation to injury risk in professional soccer. Journal of Science and Medicine in Sport, 20(6), 561-565. doi:10.1016/j.jsams.2016.10.014

Martín-García, A., Gómez Díaz, A., Bradley, P. S., Morera, F., & Casamichana, D. (2018). Quantification of a profes-sional football team’s external load using a microcycle structure. Journal of Strength and Conditioning Research, 32(12), 3511-3518. doi:10.1519/JSC.0000000000002816

Morera Carbonell, S., Etcheazarra, I., Castellano, J., & Ric, A. (2023). Efecto del modelo de periodización del micro-ciclo competitivo en la carga de entrenamiento de jóvenes futbolistas masculinos. Retos, 48, 1098–1104. https://doi.org/10.47197/retos.v48.95050

Murray, N. B., Gabbett, T. J., & Townshend, A. D. (2017). Relationship between preseason training load and in-season availability in elite Australian football players. International Journal of Sports Physiology and Performance, 12(6), 749-755. doi:10.1123/ijspp.2015-0806

Owen, A. L., Djaoui, L., Newton, M., Malone, S., & Mendes, B. (2017b). A contemporary multi-modal mechanical approach to training monitoring in elite professional soccer. Science and Medicine in Football, 1(3), 216-221. doi:10.1080/24733938.2017.1334958

Owen, A. L., Forsyth, J. J., Wong, D. P., Dellal, A., Connelly, S. P., & Chamari, K. (2015). Heart rate-based training intensity and its impact on injury incidence among elite-level professional football players. Journal of Strength and Conditioning Research, 29(6), 1705-1712. doi:10.1519/JSC.0000000000000810

Owen, A. L., Lago-Peña, C., Gómez, M. Á., Mendes, B., & Dellal, A. (2017a). Analysis of a training mesocycle and positional quantification in elite European football players. International Journal of Sport Science and Coaching, 12(5), 665-676. doi:10.1177/1747954117727851

Piggott, B., Newton, M., & McGuigan, M. (2009). The relationship between training load and incidence of injury and illness over a pre-season at an Australian Football League Club. Journal of Australian Strength and Conditioning, 17(3).

Rabbani, A., & Buchheit, M. (2016). Ground travel-induced impairment of wellness is associated with fitness and travel distance in young football players. Kinesiology, 48(2), 200-206. doi:10.26582/k.48.2.11

Rogalski, B., Dawson, B., Heasman, J., & Gabbett, T. J. (2013). Training and game loads and injury risk in elite Aus-tralian footballers. Journal of Science and Medicine in Sport, 16(6), 499-503. doi:10.1016/j.jsams.2012.12.004

Soligard, T., Schwellnus, M., Alonso, J. M., et al. (2016). How much is too much? (Part 1) International Olympic Committee consensus statement on load in sport and risk of injury. British Journal of Sports Medicine, 50(17), 1030-1041. doi:10.1136/bjsports-2016-096581

Stevens, T. G. A., de Ruiter, C. J., Twisk, J. W. R., Savelsbergh, G. J. P., & Beek, P. J. (2017). Quantification of in-season training load relative to match load in professional Dutch Eredivisie football players. Science and Medicine in Football, 1(2), 117-125. doi:10.1080/24733938.2017.1282163

Toscano Bendala, F. J., Campos Vázquez, M. A., Suarez-Arrones, L. J., & Núñez Sánchez, F. J. (2018). Comparison of external load on high-speed actions in friendly macth and training sessions. Retos, 33, 54–57. https://doi.org/10.47197/retos.v0i33.52535

Windt, J., & Gabbett, T. J. (2018). Is it all for naught? What does mathematical coupling mean for acute:chronic workload ratios? British Journal of Sports Medicine, 5-7. doi:10.1136/bjsports-2017-098925

Windt, J., Gabbett, T. J., Ferris, D., & Khan, K. M. (2017a). Training load-Injury paradox: Is greater preseason partic-ipation associated with lower in-season injury risk in elite rugby league players? British Journal of Sports Medicine, 51(8), 645-650. doi:10.1136/bjsports-2016-095973

Windt, J., Zumbo, B. D., Sporer, B., Macdonald, K., & Gabbett, T. J. (2017b). Why do workload spikes cause inju-ries, and which athletes are at higher risk? Mediators and moderators in workload-injury investigations. British Jour-nal of Sports Medicine, 51(13), 993-994. doi:10.1136/bjsports-2016-097255

Zurutuza, U., Castellano, J., Echeazarra, I., & Casamichana, D. (2017). Absolute and relative training load and its relation to fatigue in football. Frontiers in Psychology, 8(JUN), 1-8. doi:10.3389/fpsyg.2017.00878

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Publicado

2024-07-01

Cómo citar

Castellano, J., Casamichana, D. ., & Agirrezabalaga, O. (2024). ¿Es posible proponer una estrategia de periodización diferente de la U invertida en pretemporada? Una comparación entre dos equipos de fútbol profesional (Is it possible to propose a periodization strategy different from the inverted U in preseason? A comparison between two professional football teams). Retos, 56, 917–924. https://doi.org/10.47197/retos.v56.103792

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Artículos de carácter científico: trabajos de investigaciones básicas y/o aplicadas