Franc Garcia^1,2, Hugo Salazar², Jordan L. Fox^3,4

¹Fútbol Club Barcelona, Sports Performance Area, Barcelona, Spain
²University of the Basque Country (UPV/EHU), Physical Activity and Sport Department, Vitoria-Gasteiz, Spain
³Central Queensland University, School of Health, Medical, and Applied Sciences, Rockhampton, QLD, Australia
⁴Central Queensland University, Human Exercise and Training Laboratory, Rockhampton, QLD, Australia

Differences in the Most Demanding Scenarios of Basketball Match-Play between Game Quarters and Playing Positions in Professional Players

Monten. J. Sports Sci. Med. 2022, 11(1), 15-28 | DOI: 10.26773/mjssm.220302

Abstract

The purpose of this study was to compare the most demanding scenarios (MDS) encountered by professional basketball players across game quarters and playing positions during official match-play. Ten professional bas- ketball players were monitored during 11 matches using a local positioning system. Peak physical demands were measured via total distance, distance >18 and >21 km·h -1 , number of sprints >18 and >21 km·h -1 , and number of accelerations and decelerations >2 and >3 m∙s -2 captured over 30, 60, 120, 180, and 300-s rolling averages. Linear mixed models and effect sizes (ES) were used to compare MDS encountered between game quarters and playing positions. Between Quarters 1 and 2, there was a reduction in the total distance (ES = 0.64-1.39) for all playing groups along with a reduction in distance >21 km·h -1 in centres (ES = 0.77-0.81) and a reduction in accelerations and decelerations >2 m∙s -2 in guards (ES = 0.66-0.78) across longer sample periods (180-300-s). Between Quarters 1 and 4, reductions in the total distance were evident for forwards and centres (ES = 0.64-0.91) as well as distance and sprints >21 km·h -1 in centres (ES = 0.64-0.97). Regarding positional differences, guards and forwards covered a higher total distance than centres across most quarters and sample periods (ES = 0.22-1.44). Our data suggest a decrease in MDS with game progression in basketball. In addition, MDS appear to be duration-specific and posi- tion-dependent in basketball. Therefore, practitioners should consider these differences in MDS based on game quarters and positional demands to optimise individual and team performance.

Keywords

team sport, local positioning system, load, player monitoring, worst-case scenarios

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References

Bastida-Castillo, A., Gómez Carmona, C. D., 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., 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

Ben Abdelkrim, N., El Fazaa, S., & El Ati, J. (2007). Time-motion analysis and physiological data of elite under-19-year-old basketball players during competition. British Journal of Sports Medicine, 41(2), 69–75. https://doi.org/10.1136/bjsm.2006.032318

Fox, J. L., Conte, D., Stanton, R., McLean, B., & Scanlan, A. T. (2020). The application of accelerometer-derived moving averages to quantify peak demands in basketball: A comparison of sample duration, playing role, and session type. Journal of Strength and Conditioning Research, 0–0. https://doi.org/10.4018/978-1-59904-828-4.chtpg

Fox, J. L., Salazar, H., García, F., & Scanlan, A. T. (2020). Peak external intensity decreases across quarters during basketball games. Montenegrin Journal of Sports Science and Medicine, 8(2), 5–12. https://doi.org/10.26773/mjssm.210304

García, F., Vázquez-Guerrero, J., Castellano, J., Casals, M., & Schelling, X. (2020). Differences in physical demands between game quarters and playing positions on professional basketball players during official competition. Journal of Sports Science and Medicine, 19(2), 256–263.

Gryko, K., Kopiczko, A., Mikołajec, K., Stasny, P., & Musalek, M. (2018). Anthropometric Variables and Somatotype of Young and Professional Male Basketball Players. Sports, 6(1), 9. https://doi.org/10.3390/sports6010009

Harriss, D. J., & Atkinson, G. (2015). Ethical standards in sport and exercise science research: 2016 update. International Journal of Sports Medicine, 36(14), 1121–1124. https://doi.org/10.1055/s-0035-1565186

Hopkins, W. G. (2006). A scale of magnitudes for effect statistics. SportSci. http://www.sportsci.org/resource/stats/index.html%0A

Malone, J. J., Lovell, R., Varley, M. C., & Coutts, A. J. (2017). Unpacking the black box: Applications and considerations for using gps devices in sport. International Journal of Sports Physiology and Performance, 12, 18–26. https://doi.org/10.1123/ijspp.2016-0236

Narazaki, K., Berg, K., Stergiou, N., & Chen, B. (2009). Physiological demands of competitive basketball. Scandinavian Journal of Medicine and Science in Sports, 19(3), 425–432. https://doi.org/10.1111/j.1600-0838.2008.00789.x

Peugh, J. L. (2010). A practical guide to multilevel modeling. Journal of School Psychology, 48(1), 85–112. https://doi.org/10.1016/j.jsp.2009.09.002

Reina, M., García-Rubio, J., Pino-Ortega, J., & Ibáñez, S. J. (2019). The acceleration and deceleration profiles of U-18 women’s basketball players during competitive matches. Sports, 7(7), 165. https://doi.org/10.3390/sports7070165

Russell, J. L., Mclean, B. D., Impellizzeri, F. M., Strack, D. S., & Coutts, A. J. (2020). Measuring physical demands in basketball: an explorative systematic review of practices. In Sports Medicine (Issue November). Springer International Publishing. https://doi.org/10.1007/s40279-020-01375-9

Salazar, H., & Castellano, J. (2020). Analysis of basketball game: relationship between live actions and stoppages in different levels of competition. E-Balonmano.Com: Revista de Ciencias Del Deporte, 16, 109–118.

Salazar, H., Castellano, J., & Svilar, L. (2020). Differences in external load variables between playing positions in elite basketball match-play. Journal of Human Kinetics, 75, 131. https://doi.org/https://doi.org/10.2478/hukin-2020-0054 https://doi.org/10.2478/hukin-2020-0054

Sampaio, J., Janeira, M., Ibáñez, S., & Lorenzo, A. (2006). Discriminant analysis of game-related statistics between basketball guards, forwards and centres in three professional leagues. European Journal of Sport Science, 6(3), 173–178. https://doi.org/10.1080/17461390600676200

Sansone, P., Tschan, H., Foster, C., & Tessitore, A. (2020). Monitoring training load and perceived recovery in female basketball: implications for training design. Journal of Strength and Conditioning Research, 34(10), 2929–2936. https://doi.org/10.1519/JSC.0000000000002971

Scanlan, A. T., Stanton, R., Sargent, C., O’Grady, C., Lastella, M., & Fox, J. L. (2019). Working overtime: the effects of overtime periods on game demands in basketball players. International Journal of Sports Physiology and Performance, 1, 1–20. https://doi.org/10.1123/ijspp.2018-0906

Scanlan, A. T., Tucker, P. S., Dascombe, B. J., & Berkelmans, D. M. (2015). Fluctuations in activity demands across game quarters in professional and semi-professional male basketball. Journal of Strength & Conditioning Research, 29(11), 3006–3015. https://doi.org/https://doi.org/10.1519/JSC.0000000000000967

Stojanović, E., Stojiljković, N., Scanlan, A. T., Dalbo, V. J., Berkelmans, D. M., & Milanović, Z. (2018). The activity demands and physiological responses encountered during basketball match-play: a systematic review. Sports Medicine, 48(1), 111–135. https://doi.org/10.1007/s40279-017-0794-z

Svilar, L., Castellano, J., Jukic, I., & Casamichana, D. (2018). Positional differences in elite basketball: selecting appropriate training. International Journal of Sports Physiology and Performance, 13(7), 947–952.

Vázquez-Guerrero, J., & Garcia, F. (2020). Is it enough to use the traditional approach based on average values for basketball physical performance analysis? European Journal of Sport Science, 1–18. https://doi.org/10.1080/17461391.2020.1838618

Vázquez-Guerrero, J., Ayala Rodríguez, F., García, F., & Sampaio, J. E. (2020). The most demanding scenarios of play in basketball competition from elite Under-18 teams. Frontiers in Psychology, 11, 552. https://doi.org/https://doi.org/10.3389/fpsyg.2020.00552

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), 1–14. https://doi.org/https://doi.org/10.1371/journal.pone.0221818

Vázquez-Guerrero, J., Jones, B., Fernández-Valdés, B., Moras, G., Reche, X., & Sampaio, J. (2019). Physical demands of elite basketball during an official U18 international tournament. Journal of Sport Sciences, 37(22), 2530–2537. https://doi.org/10.1080/02640414.2019.1647033

Whitehead, S., Till, K., Weaving, D., & Jones, B. (2018). The use of microtechnology to quantify the peak match demands of the football codes: a systematic review. Sports Medicine, 48(11), 2549–2575. https://doi.org/10.1007/s40279-018-0965-6

Winter, E. M., & Maughan, R. J. (2009). Requirements for ethics approvals. Journal of Sports Sciences, 27(10), 985–985. https://doi.org/10.1080/02640410903178344