Propuesta para la clasificación de las zonas de velocidad en baloncestoUn nuevo criterio basado en los máximos valores registrados

  1. Rojas-Valverde, Daniel
  2. Gómez-Carmona, Carlos
  3. Rico-González, Markel
  4. Pino-Ortega, José
Revista:
MHSalud: Movimiento Humano y Salud

ISSN: 1659-097X

Año de publicación: 2022

Volumen: 19

Número: 2

Tipo: Artículo

DOI: 10.15359/MHS.19-2.2 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: MHSalud: Movimiento Humano y Salud

Resumen

La cuantificación de la carga de entrenamiento se ha convertido en una obligación para el personal entrenador y el personal técnico en los deportes de equipo. Dentro de las variables analizadas, la distancia recorrida en distintas zonas de velocidad es una de las más estudiadas. Sin embargo, no existe consenso en la definición de zonas de velocidad en los artículos publicados sobre cada uno de estos deportes, por lo que dificulta la comparación entre ellos. Por tanto, los objetivos de este artículo fueron establecer un criterio estándar en la clasificación de zonas de velocidad en los deportes de equipo y analizar su aplicación práctica en baloncesto. Se establecieron cinco categorías de velocidad para el baloncesto siguiendo la metodología descrita anteriormente: 0-10 km/h, >10-13,8 km/h, >13,8-17,6 km/h, >17,6-21,5 km/h y >21,5 km/h. Los resultados muestran entre períodos en desplazamientos de alta velocidad y esprints, velocidad máxima, desaceleraciones y aceleraciones totales. En conclusión, la categorización de las demandas basadas en la desviación estándar, según la velocidad máxima, podría ser una opción viable para individualizar el análisis de la distancia recorrida por velocidades en deportes de equipo como el baloncesto. Su utilización puede ayudar a una mejor comprensión y contextualización de los datos de desplazamientos en deportes y equipos específicos.

Referencias bibliográficas

  • Aguiar, M., Botelho, G., Gonçalves, B., & Sampaio, J. (2013). Physiological Responses and Activity Profiles of Football Small-Sided Games: Journal of Strength and Conditioning Research, 27(5), 1287–1294. https://doi.org/10.1519/JSC.0b013e318267a35c
  • Akenhead, R., Harley, J., & Tweddle, S. (2016). Examining the External Training Load of an English Premier League Football Team With Special Reference to Acceleration. Journal of Strength and Conditioning Research, 30(9), 2424–2432. https://doi.org/10.1519/JSC.0000000000001343
  • Akenhead, R., & Nassis, G. (2016). Training Load and Player Monitoring in High-Level Football: Current Practice and Perceptions. International Journal of Sports Physiology and Performance, 11(5), 587–593. https://doi.org/10.1123/ijspp.2015-0331
  • Alarifi, A., Al-Salman, A., Alsaleh, M., Alnafessah, A., Al-Hadhrami, S., Al-Ammar, M., & Al-Khalifa, H. (2016). Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances. Sensors, 16(5), 707. https://doi.org/10.3390/s16050707
  • Aughey, R. (2010). Australian football player work rate: Evidence of fatigue and pacing? International Journal of Sports Physiology and Performance, 5(3), 394–405. https://doi.org/10.1123/ijspp.5.3.394
  • Bangsbo, J., Nørregaard, L., & Thorsø, F. (1991). Activity profile of competition soccer. Canadian Journal of Sport Sciences = Journal Canadien Des Sciences Du Sport, 16(2), 110–116. https://pubmed.ncbi.nlm.nih.gov/1647856/
  • Barros, R. M., Misuta, M. S., Menezes, R. P., Figueroa, P. J., Moura, F. A., Cunha, S. A., Anido, R., & Leite, N. J. (2007). Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method. Journal of Sports Science & Medicine, 6(2), 233-242. https://www.ncbi.nlm.nih.gov/pubmed/24149334
  • Bastida-Castillo, A., Gómez-Carmona, C., De la Cruz Sánchez, E., & Pino-Ortega, J. (2018). Accuracy, intra- and inter-unit reliability, and comparison between GPS and UWB-based position-tracking systems used for time–motion analyses in soccer. European Journal of Sport Science, 18(4), 450–457. https://doi.org/10.1080/17461391.2018.1427796
  • Bastida-Castillo, A., Gómez-Carmona, C., Pino-Ortega, J., & de la Cruz Sánchez, E. (2017). Validity of an inertial system to measure sprint time and sport task time: A proposal for the integration of photocells in an inertial system. International Journal of Performance Analysis in Sport, 17(4), 600–608. https://doi.org/10.1080/24748668.2017.1374633
  • Bastida-Castillo, A., Gómez-Carmona, C., De la Cruz-Sánchez, E., Reche-Royo, X., Ibáñez, S., & Pino Ortega, J. (2019). Accuracy and Inter-Unit Reliability of Ultra-Wide-Band Tracking System in Indoor Exercise. Applied Sciences, 9(5), 939. https://doi.org/10.3390/app9050939
  • Bradley, P., Di Mascio, M., Peart, D., Olsen, P., & Sheldon, B. (2010). High-intensity activity profiles of elite soccer players at different performance levels. Journal of Strength and Conditioning Research, 24(9), 2343–2351. https://doi.org/10.1519/JSC.0b013e3181aeb1b3
  • Bradley, P., Lago-Peñas, C., Rey, E., & Gomez, A. (2013). The effect of high and low percentage ball possession on physical and technical profiles in English FA Premier League soccer matches. Journal of Sports Sciences, 31(12), 1261–1270. https://doi.org/10.1080/02640414.2013.786185
  • Bradley, P., & Vescovi, J. (2015). Velocity thresholds for women’s soccer matches: Sex specificity dictates high-speed running and sprinting thresholds - Female Athletes in Motion (FAiM). International Journal of Sports Physiology and Performance, 10(1), 112–116. https://doi.org/10.1123/ijspp.2014-0212
  • Carling, C., Le Gall, F., & Dupont, G. (2012). Analysis of repeated high-intensity running performance in professional soccer. Journal of Sports Sciences, 30(4), 325–336. https://doi.org/10.1080/02640414.2011.652655
  • Casamichana, D., Morencos, E., Romero-Moraleda, B., & Gabbett, T. (2018). The Use of Generic and Individual Speed Thresholds for Assessing the Competitive Demands of Field Hockey. Journal of Sports Science & Medicine, 17(3), 366–371. https://www.ncbi.nlm.nih.gov/pubmed/30116109
  • Clarke, A., Anson, J., & Pyne, D. (2015). Physiologically based GPS speed zones for evaluating running demands in Women’s Rugby Sevens. Journal of Sports Sciences, 33(11), 1101–1108. https://doi.org/10.1080/02640414.2014.988740
  • Clemente, F., Nikolaidis, P., Van Der Linden, C. & Silva, B. (2017). Effects of Small-Sided Soccer Games on Internal and External Load and Lower Limb Power: A Pilot Study in Collegiate Players. Human Movement, 18(1), 50-57. https://doi.org/10.1515/humo-2017-0007
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Erlbaum.
  • Coutinho, D., Gonçalves, B., Figueira, B., Abade, E., Marcelino, R., & Sampaio, J. (2015). Typical weekly workload of under 15, under 17, and under 19 elite Portuguese football players. Journal of Sports Sciences, 33(12), 1229–1237. https://doi.org/10.1080/02640414.2015.1022575
  • Cunniffe, B., Proctor, W., Baker, J., & Davies, B. (2009). An evaluation of the physiological demands of elite rugby union using global positioning system tracking software. The Journal of Strength & Conditioning Research, 23(4), 1195–1203. https://doi.org/10.1519/jsc.0b013e3181a3928b
  • Datson, N., Drust, B., Weston, M., Jarman, I., Lisboa, P., & Gregson, W. (2017). Match Physical Performance of Elite Female Soccer Players During International Competition. Journal of Strength and Conditioning Research, 31(9), 2379–2387. https://doi.org/10.1519/JSC.0000000000001575
  • De Oliveira, M., Caetano, F., Pereira, T., De Souza, N., Moreira, G., Nakamura, F., Cunha, S., & Moura, F. (2014). Analysis of the distance covered by Brazilian professional futsal players during official matches. Sports Biomechanics, 13(3), 230–240. https://doi.org/10.1080/14763141.2014.958872
  • Di Salvo, V., Baron, R., Tschan, H., Calderon Montero, F., Bachl, N., & Pigozzi, F. (2007). Performance Characteristics According to Playing Position in Elite Soccer. International Journal of Sports Medicine, 28(3), 222–227. https://doi.org/10.1055/s-2006-924294
  • Dwyer, D., & Gabbett, T. (2012). Global positioning system data analysis: Velocity ranges and a new definition of sprinting for field sport athletes. Journal of Strength and Conditioning Research, 26(3), 818–824. https://doi.org/10.1519/JSC.0b013e3182276555
  • Fessi, M., Zarrouk, N., Di Salvo, V., Filetti, C., Barker, A., & Moala, W. (2016). Effects of tapering on physical match activities in professional soccer players. Journal of Sports Sciences, 34(24), 2189–2194. https://doi.org/10.1080/02640414.2016.1171891
  • Garrett, J., Gunn, R., Eston, R., Jakeman, J., Burgess, D & Norton, K. (2019). The effects of fatigue on the running profile of elite team sport athletes. A systematic review and meta-analysis. The Journal of Sports Medicine and Physical Fitness 59(8),1328-1338. https://doi.org/10.23736/S0022-4707.19.09356-3.
  • Gómez-Carmona, C., Gamonales, J., Pino-Ortega, J., & Ibáñez, S. (2018). Comparative analysis of load profile between small-sided games and official matches in youth soccer players. Sports, 6(4), 173. https://doi.org/10.3390/sports6040173
  • Gómez-Carmona, C., Bastida-Castillo, A., García-Rubio, J., Ibáñez, S. J., & Pino-Ortega, J. (2019). Static and dynamic reliability of WIMU PROTM accelerometers according to anatomical placement. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 233(2), 238–248. https://doi.org/10.1177/1754337118816922
  • Gómez-Carmona, C., Bastida-Castillo, A., Ibáñez, S., & Pino-Ortega, J. (2020). Accelerometry as a method for external workload monitoring in invasion team sports. A systematic review. PLoS ONE, 15(8), e0236643. https://doi.org/10.1371/journal.pone.0236643
  • Greig, M., Emmerson, H., & McCreadie, J. (2019). Quantifying Functional Ankle Rehabilitation Progression Criteria Using GPS: A Preliminary Study. Journal of Sport Rehabilitation, 28(7), 729-734. https://doi.org/10.1123/jsr.2018-0045
  • Halouani, J., Chtourou, H., Gabbett, T., Chaouachi, A., & Chamari, K. (2014). Small-Sided Games in Team Sports Training: A Brief Review. Journal of Strength and Conditioning Research, 28(12), 3594–3618. https://doi.org/10.1519/JSC.0000000000000564
  • Hunter, F., Bray, J., Towlson, C., Smith, M., Barrett, S., Madden, J., Abt, G., & Lovell, R. (2015). Individualisation of time-motion analysis: A method comparison and case report series. International Journal of Sports Medicine, 36(1), 41–48. https://doi.org/10.1055/s-0034-1384547
  • Impellizzeri, F., Marcora, S., & Coutts, A. (2019). Internal and External Training Load: 15 Years On. International Journal of Sports Physiology and Performance, 14(2), 270–273. https://doi.org/10.1123/ijspp.2018-0935
  • Jaspers, A., Brink, M., Probst, S., Frencken, W., & Helsen, W. (2017). Relationships Between Training Load Indicators and Training Outcomes in Professional Soccer. Sports Medicine, 47(3), 533–544. https://doi.org/10.1007/s40279-016-0591-0
  • Jennings, D., Cormack, S., Coutts, A., & Aughey, R. (2012). GPS Analysis of an International Field Hockey Tournament. International Journal of Sports Physiology and Performance, 7(3), 224–231. https://doi.org/10.1123/ijspp.7.3.224
  • Jeong, T., Reilly, T., Morton, J., Bae, S., & Drust, B. (2011). Quantification of the physiological loading of one week of “pre-season” and one week of “in-season” training in professional soccer players. Journal of Sports Sciences, 29(11), 1161–1166. https://doi.org/10.1080/02640414.2011.583671
  • Johnston, R., Gibson, N., Twist, C., Gabbett, T., MacNay, S., & MacFarlane, N. (2013). Physiological responses to an intensified period of rugby league competition. Journal of Strength and Conditioning Research, 27(3), 643–654. https://doi.org/10.1519/JSC.0b013e31825bb469
  • Luteberget, L., Spencer, M., & Gilgien, M. (2018). Validity of the Catapult ClearSky T6 Local Positioning System for Team Sports Specific Drills, in Indoor Conditions. Frontiers in Physiology, 9, 115. https://doi.org/10.3389/fphys.2018.00115
  • Macutkiewicz, D., & Sunderland, C. (2011). The use of GPS to evaluate activity profiles of elite women hockey players during match-play. Journal of Sports Sciences, 29(9), 967–973. https://doi.org/10.1080/02640414.2011.570774
  • Makaje, N., Ruangthai, R., Arkarapanthu, A., & Yoopat, P. (2012). Physiological demands and activity profiles during futsal match play according to competitive level. The Journal of Sports Medicine and Physical Fitness, 52(4), 366-374.
  • Malone, J., Di Michele, R., Morgans, R., Burgess, D., Morton, J., & Drust, B. (2015). Seasonal training-load quantification in elite English premier league soccer players. International Journal of Sports Physiology and Performance, 10(4), 489–497. https://doi.org/10.1123/ijspp.2014-0352
  • Malone, S., Owen, A., Mendes, B., Hughes, B., Collins, K., & Gabbett, T. (2018). High-speed running and sprinting as an injury risk factor in soccer: Can well-developed physical qualities reduce the risk? Journal of Science and
  • Medicine in Sport, 21(3), 257–262. https://doi.org/10.1016/j.jsams.2017.05.016
  • Meylan, C., Trewin, J., & McKean, K. (2017). Quantifying Explosive Actions in International Women’s Soccer. International Journal of Sports Physiology and Performance, 12(3), 310–315. https://doi.org/10.1123/ijspp.2015-0520
  • Miñano-Espin, J., Casáis, L., Lago-Peñas, C., & Gómez-Ruano, M. (2017). High Speed Running and Sprinting Profiles of Elite Soccer Players. Journal of Human Kinetics, 58(1), 169–176. https://doi.org/10.1515/hukin-2017-0086
  • Mohr, M., Krustrup, P., & Bangsbo, J. (2003). Match performance of high-standard soccer players with special reference to development of fatigue. Journal of Sports Sciences, 21(7), 519–528. https://doi.org/10.1080/0264041031000071182
  • Mujika, I., Halson, S., Burke, L., Balagué, G., & Farrow, D. (2018). An Integrated, Multifactorial Approach to Periodization for Optimal Performance in Individual and Team Sports. International Journal of Sports Physiology and Performance, 13(5), 538–561. https://doi.org/10.1123/ijspp.2018-0093
  • Naser, N., Ali, A., & Macadam, P. (2017). Physical and physiological demands of futsal. Journal of Exercise Science & Fitness, 15(2), 76–80. https://doi.org/10.1016/j.jesf.2017.09.001
  • Oliva-Lozano, J., Rojas-Valverde, D., Gómez-Carmona, C., Fortes, V., & Pino-Ortega, J. (2021). Impact of contextual variables on the representative external load profile of Spanish professional soccer match-play: A full season study. European Journal of Sport Science, 21(4), 497-506. https://doi.org/10.1080/17461391.2020.1751305
  • Park, L., Scott, D., & Lovell, R. (2019). Velocity zone classification in elite women’s football: Where do we draw the lines? Science and Medicine in Football, 3(1), 21–28. https://doi.org/10.1080/24733938.2018.1517947
  • Parlebas, P. (2002). Elementary mathematic modelization of games and sports. Bridging the gap between empirical sciences and theoretical research in the social sciences. In The Explanatory Power of Models (pp. 197–228). Kluwer Academic.
  • Pino-Ortega, J., Gómez-Carmona, C., Nakamura, F., & Rojas-Valverde, D. (2020). Setting Kinematic Parameters That Explain Youth Basketball Behavior: Influence of Relative Age Effect According to Playing Position. Journal of Strength & Conditioning Research, 36(3), 820-826. https://doi.org/10.1519/jsc.0000000000003543
  • Pino-Ortega, J., Rojas-Valverde, D., Gómez-Carmona, C., Bastida-Castillo, A., Hernández-Belmonte, A., García-Rubio, J., Nakamura, F., & Ibáñez, S. (2019). Impact of Contextual Factors on External Load During a Congested-Fixture Tournament in Elite U’18 Basketball Players. Frontiers in Psychology, 10, 1-11. https://doi.org/10.3389/fpsyg.2019.01100
  • Rampinini, E., Coutts, A., Castagna, C., Sassi, R., & Impellizzeri, F. (2007). Variation in Top Level Soccer Match Performance. International Journal of Sports Medicine, 28(12), 1018–1024. https://doi.org/10.1055/s-2007-965158
  • Randers, M., Nielsen, J., Bangsbo, J, & Krustrup, P. (2014). Physiological response and activity profile in recreational small-sided football: No effect of the number of players. Scandinavian Journal of Medicine & Science in Sports, 24(1), 130–137. https://doi.org/10.1111/sms.12232
  • Reche-Soto, P., Cardona-Nieto, D., Diaz-Suarez, A., Bastida-Castillo, A., Gomez-Carmona, C., Garcia-Rubio, J., & Pino-Ortega, J. (2019). Player Load and Metabolic Power Dynamics as Load Quantifiers in Soccer. Journal of Human Kinetics, 69(1), 259-269. https://sciendo.com/doi/10.2478/hukin-2018-0072
  • Reina-Román, M., García-Rubio, J., Feu, S., & Ibáñez, S. (2019). Training and Competition Load Monitoring and Analysis of Women’s Amateur Basketball by Playing Position: Approach Study. Frontiers in Psychology, 9, 2689. https://doi.org/10.3389/fpsyg.2018.02689
  • Rojas-Valverde, D., Gómez-Carmona, C., Fernández-Fernández, J., García-López, J., García-Tormo, V., Cabello-Manrique, D., & Pino-Ortega, J. (2020). Identification of games and sex-related activity profile in junior international badminton. International Journal of Performance Analysis in Sport, 20(3), 323–338. https://doi.org/10.1080/24748668.2020.1745045
  • Rojas-Valverde, D., Gómez-Carmona, C., Gutiérrez-Vargas, R., & Pino-Ortega, J. (2019). From big data mining to technical sport reports: The case of inertial measurement units. BMJ Open Sport & Exercise Medicine, 5(1), e000565. https://doi.org/10.1136/bmjsem-2019-000565
  • Rojas-Valverde, D., Pino-Ortega, J., Gómez-Carmona, C., & Rico-González, M. (2020). A Systematic Review of Methods and Criteria Standard Proposal for the Use of Principal Component Analysis in Team’s Sports Science. International Journal of Environmental Research and Public Health, 17(23), 8712. https://doi.org/10.3390/ijerph17238712
  • Sampaio, J., Gonçalves, B., Rentero, L., Abrantes, C., & Leite, N. (2014). Exploring how basketball players’ tactical performances can be affected by activity workload. Science & Sports, 29(4), e23–e30. https://doi.org/10.1016/j.scispo.2013.05.004
  • Suarez-Arrones, L., Nuñez, F., Portillo, J., & Mendez-Villanueva, A. (2012). Running Demands and Heart Rate Responses in Men Rugby Sevens: Journal of Strength and Conditioning Research, 26(11), 3155–3159. https://doi.org/10.1519/JSC.0b013e318243fff7
  • Svilar, L., Castellano, J., Jukic, I., & Casamichana, D. (2018). Positional Differences in Elite Basketball: Selecting Appropriate Training-Load Measures. International Journal of Sports Physiology and Performance, 13(7), 947–952. https://doi.org/10.1123/ijspp.2017-0534
  • Sweeting, A., Cormack, S., Morgan, S., & Aughey, R. (2017). When Is a Sprint a Sprint? A Review of the Analysis of Team-Sport Athlete Activity Profile. Frontiers in Physiology, 8, 432. https://doi.org/10.3389/fphys.2017.00432
  • Vázquez-Guerrero, J., Fernández-Valdés, B., Jones, B., Moras, G., Reche, X., & Sampaio, J. (2019). Changes in physical demands between game quarters of U18 elite official basketball games. PLoS One, 14(9), e0221818. https://doi.org/10.1371/journal.pone.0221818