Everything is not equal – comparisons in sessional training and game loads between main and bench players in a female basketball team

Authors

  • Aaron Scanlan Central Queensland University
  • Cody Power Central Queensland University
  • Pablo López-Sierra Universidad de Extremadura
  • Sergio Ibáñez Universidad de Extremadura
  • Nathan Elsworthy Central Queensland University

DOI:

https://doi.org/10.17398/1885-7019.21.333

Keywords:

starter, demands, competition, heart rate, RPE, accelerometer

Abstract

Training load data should be provided to address various contextual factors such as player role; however, limited research has specifically quantified training and game demands based on player roles in female basketball players. Consequently, this study aimed to compare sessional training and game loads across a season between main (>25 min playing time in games) and bench (<25 min playing time in games), semi-professional, female basketball players (n = 12). Across all on-court team training sessions and games, players had external load measured with microsensors (PlayerLoad and inertial movement analysis variables) and internal load measured using heart rate and session-rating of perceived exertion monitoring methods. Linear mixed models revealed games imposed higher external and internal loads than training for all variables in main players (p <0.001). In contrast, training sessions induced greater external and internal intensities than games (p <0.01), while games imposed higher perceptual demands than training (p <0.01) in bench players. Main players exhibited greater external loads and heart rate demands in games than both games and training in bench players (p <0.01). The lower demands in bench players suggest they may be inadequately prepared to cope with increased loads if required to take on a main role.

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References

Berkelmans, D., Dalbo, V., Fox, J., Stanton, R., Kean, C., Giamarelos, K., . . . Scanlan, A. (2018). Influence of different methods to determine maximum heart rate on training load outcomes in basketball players. Journal of Strength and Conditioning Research, 32(11), 3177-3185. https://doi.org/10.1519/jsc.0000000000002291

Brown, F., Fields, J., Jagim, A., Baker, R., & Jones, M. (2024). Analysis of in-season external load and sport performance in women’s collegiate basketball. The Journal of Strength and Conditioning Research, 38(2), 318-324. https://doi.org/10.1519/jsc.0000000000004636

Büchel, D., Döring, M., & Baumeister, J. (2024). The burdens of sitting on the bench – Comparison of absolute and relative match physical load between handball players with high and low court time and implications for compensatory training. Journal of Sports Sciences, 42(12), 1164-1172. https://doi.org/10.1080/02640414.2024.2387928

Castillo, D., Raya-González, J., Scanlan, A., Sánchez-Díaz, S., Lozano, D., & Yanci, J. (2021). The influence of physical fitness attributes on external demands during simulated basketball matches in youth players according to age category. Physiology and Behavior, 233, 113354. https://doi.org/10.1016/j.physbeh.2021.113354

Caterisano, A., Patrick, B., Edenfield, W., & Batson, M. (1997). The effects of a basketball season on aerobic and strength parameters among college men: Starters vs. reserves. The Journal of Strength and Conditioning Research, 11(1), 21-24. https://journals.lww.com/nsca-jscr/fulltext/1997/02000/the_effects_of_a_basketball_season_on_aerobic_and.5.aspx

Clemente, F., Pillitteri, G., Palucci Vieira, L., Rabbani, A., Zmijewski, P., & Beato, M. (2024). Balancing the load: A narrative review with methodological implications of compensatory training strategies for non-starting soccer players [journal article]. Biology of Sport, 41(4), 173-185. https://doi.org/10.5114/biolsport.2024.139071

Conte, D., Kolb, N., Scanlan, A., & Santolamazza, F. (2018). Monitoring training load and well-being during the in-season phase in National Collegiate Athletic Association Division I men's basketball. International Journal of Sports Physiology and Performance, 13(8), 1067-1074. https://doi.org/10.1123/ijspp.2017-0689

Coquart, J., Dufour, Y., Groslambert, A., Matran, R., & Garcin, M. (2012). Relationships between psychological factors, RPE and time limit estimated by teleoanticipation. Sport Psychologist, 26(3), 359-374.

Díaz-Serradilla, E., Castillo, D., Rodríguez-Marroyo, J., Raya González, J., Villa Vicente, J., & Rodríguez-Fernández, A. (2023). Effect of different nonstarter compensatory strategies on training load in female soccer players: A pilot study. Sports Health, 15(6), 835-841. https://doi.org/10.1177/19417381231176555

Foster, C., Florhaug, J., Franklin, J., Gottschall, L., Hrovatin, L., Parker, S., . . . Dodge, C. (2001). A new approach to monitoring exercise training. The Journal of Strength and Conditioning Research, 15(1). https://journals.lww.com/nsca-jscr/fulltext/2001/02000/a_new_approach_to_monitoring_exercise_training.19.aspx

Fox, J., Conte, D., Stanton, R., McLean, B., & Scanlan, A. (2021). The application of accelerometer-derived moving averages to quantify peak demands in basketball: A comparison of sample duration, playing role, and session type. The Journal of Strength and Conditioning Research, 35, S58-S63. https://doi.org/10.1519/jsc.0000000000003486

Fox, J., Scanlan, A., Sargent, C., & Stanton, R. (2020). A survey of player monitoring approaches and microsensor use in basketball. Journal of Human Sport and Exercise, 15(1), 230-240.

Fox, J., Scanlan, A., & Stanton, R. (2017). A review of player monitoring approaches in basketball: Current trends and future directions. The Journal of Strength and Conditioning Research, 31(7), 2021-2029. https://doi.org/10.1519/jsc.0000000000001964

Fox, J., Stanton, R., Sargent, C., O’Grady, C., & Scanlan, A. (2020). The impact of contextual factors on game demands in starting, semiprofessional, male basketball layers. International Journal of Sports Physiology and Performance, 15(4), 450-456. https://doi.org/10.1123/ijspp.2019-0203

Fox, J., Stanton, R., & Scanlan, A. (2018). A comparison of training and competition demands in semiprofessional male basketball players. Research Quarterly for Exercise and Sport, 89(1), 103-111. https://doi.org/10.1080/02701367.2017.1410693

Haddad, M., Stylianides, G., Djaoui, L., Dellal, A., & Chamari, K. (2017). Session-RPE method for training load monitoring: Validity, ecological usefulness, and influencing factors. Frontiers in Neuroscience, 11, 612. https://doi.org/10.3389/fnins.2017.00612

Hopkins, W., Marshall, S., Batterham, A., & Hanin, J. (2009). Progressive statistics for studies in sports medicine and exercise science. Medicine and Science in Sports and Exercise, 41(1), 3-13. https://doi.org/10.1249/MSS.0b013e31818cb278

Hutchinson, J. (2021). Perceived effort and exertion. In Z. Zenko & L. Jones (Eds.), Essentials of exercise and sport psychology: An open access textbook (pp. 294-315). Society for Transparency, Openness, and Replication in Kinesiology.

Iglesias-Torres, E., Gonzalez-Artetxe, A., Scanlan, A., & Los Arcos, A. (2024). Differential ratings of perceived exertion to quantify weekly and sessional internal load in basketball: an exploratory team-based case series. Montenegrin Journal of Sports Science and Medicine, 13(1), 75-80.

Jeffries, A., Marcora, S., Coutts, A., Wallace, L., McCall, A., & Impellizzeri, F. (2022). Development of a revised conceptual framework of physical training for use in research and practice. Sports Medicine, 52(4), 709-724. https://doi.org/10.1007/s40279-021-01551-5

Kutson, C., Russell, J., Strack, D., Coutts, A., & McLean, B. (2024). External load fluctuations across an amateur Athletic Union basketball season. Journal of Strength and Conditioning Research, 38(3), 592-598. https://doi.org/10.1519/jsc.0000000000004657

Kuznetsova, A., Brockhoff, P., & Christensen, R. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 1-26. https://doi.org/10.18637/jss.v082.i13

Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Pyschology, 4, 863. https://doi.org/10.3389/fpsyg.2013.00863

Lenth, R. (2023). emmeans: Estimated marginal means, aka least-squares means. In (Version R package version 1.8.7) https://CRAN.R-project.org/package=emmeans

López-Sierra, P., Reina, M., López-Araya, S., & Ibáñez, S. J. (2025). Impact of training on body composition in elite basketball players. E-Balonmano Com, 21(2), 299-312. https://doi.org/10.17398/1885-7019.21.299

Lüdecke, D., Ben-Shachar, M., Patil, I., Waggoner, P., & Makowski, D. (2021). performance: An R package for assessment, comparison and testing of statistical models. The Journal of Open Source Software, 6(60), 3139. https://doi.org/10.21105/joss.03139

Lüdecke, D., Patil, I., Ben-Shachar, M., Wiernik, B., Waggoner, P., & Makowski, D. (2021). see: An R package for visualizing statistical models. The Journal of Open Source Software, 6(64), 3393. https://doi.org/10.21105/joss.03393

Malone, S., Hughes, B., Roe, M., Mangan, S., & Collins, K. (2020). Factors that influence session-rating of perceived exertion in elite gaelic football. The Journal of Strength and Conditioning Research, 34(4), 1176-1183. https://doi.org/10.1519/jsc.0000000000002192

Manzi, V., D'Ottavio, S., Impellizzeri, F., Chaouachi, A., Chamari, K., & Castagna, C. (2010). Profile of weekly training load in elite male professional basketball players. The Journal of Strength and Conditioning Research, 24(5), 1399-1406. https://journals.lww.com/nsca-jscr/fulltext/2010/05000/profile_of_weekly_training_load_in_elite_male.34.aspx

Meeuwisse, W., Tyreman, H., Hagel, B., & Emery, C. (2007). A dynamic model of etiology in sport injury: The recursive nature of risk and causation. Clinical Journal of Sports Medicine, 17(3), 215-219. https://doi.org/10.1097/JSM.0b013e3180592a48

Minett, G., Fels-Camilleri, V., Bon, J., Impellizzeri, F., & Borg, D. (2022). Peer presence increases session ratings of perceived exertion. International Journal of Sports Physiology and Performance, 17(1), 106-110. https://doi.org/10.1123/ijspp.2021-0080

Newans, T., Bellinger, P., Drovandi, C., Buxton, S., & Minahan, C. (2022). The utility of mixed models in sport science: A call for further adoption in longitudinal data sets. International Journal of Sports Physiology and Performance, 17(8), 1289-1295. https://doi.org/10.1123/ijspp.2021-0496

Nicolella, D., Torres-Ronda, L., Saylor, K., & Schelling, X. (2018). Validity and reliability of an accelerometer-based player tracking device. PLOS ONE, 13(2), e0191823. https://doi.org/10.1371/journal.pone.0191823

O’Grady, C., Fox, J., Dalbo, V., & Scanlan, A. (2020). A systematic review of the external and internal workloads experienced during games-based drills in basketball players. International Journal of Sports Physiology and Performance, 15(5), 603-616. https://doi.org/10.1123/ijspp.2019-0785

Palmer, J., Wundersitz, D., Bini, R., & Kingsley, M. (2021). Effect of player role and competition level on player demands in basketball. Sports, 9(3). https://doi.org/10.3390/sports9030038

Paulauskas, H., Kreivyte, R., Scanlan, A. T., Moreira, A., Siupsinskas, L., & Conte, D. (2019). Monitoring workload in elite female basketball players during the in-season phase: Weekly fluctuations and effect of playing time. International Journal of Sports Physiology and Performance, 14(7), 941-948. https://doi.org/10.1123/ijspp.2018-0741

Pino-Ortega, J., Rojas-Valverde, D., Gómez-Carmona, C., Bastida-Castillo, A., Hernández-Belmonte, A., García-Rubio, J., . . . Ibáñez, S. (2019). Impact of contextual factors on external load during a congested-fixture tournament in elite U'18 basketball players. Frontiers in Pyschology, 10, 1100. https://doi.org/10.3389/fpsyg.2019.01100

Piñar, M., García, D., Mancha-Triguero, D., & Ibáñez, S. (2022). Effect of situational and individual factors on training load and game performance in Liga Femenina 2 basketball female players. Applied Sciences, 12(15), 7752. https://www.mdpi.com/2076-3417/12/15/7752

Power, C., Fox, J., Dalbo, V., & Scanlan, A. (2022). External and internal load variables encountered during training and games in female basketball players according to playing level and playing position: A systematic review. Sports Medicine - Open, 8(1), 107. https://doi.org/10.1186/s40798-022-00498-9

Romero-Caballero, A., Alvarez-Salvador, D., Collado-Lazaro, I., & Varela-Olalla, D. (2020). Sports training: Planning methods, methodological practices and load management in basketball, soccer, futsal and tennis. Sports Performance and Science Reports, 108, 1-3.

Russell, J., McLean, B., Impellizzeri, F., Strack, D., & Coutts, A. (2021). Measuring physical demands in basketball: An explorative systematic review of practices. Sports Med, 51(1), 81-112. https://doi.org/10.1007/s40279-020-01375-9

Russell, J., McLean, B., Stolp, S., Strack, D., & Coutts, A. (2021). Quantifying training and game demands of a National Basketball Association season. Frontiers in Psychology, 12, 793216. https://doi.org/10.3389/fpsyg.2021.793216

Ryan, S., Coutts, A., Hocking, J., & Kempton, T. (2017). Factors affecting running performance in professional Australian football. International Journal of Sports Physiology and Performance, 12(9), 1199-1204. https://doi.org/10.1123/ijspp.2016-0586

Salazar, H., Alonso Pérez-Chao, E., Svilar, L., & Castellano, J. Analysing short-term training load distribution in elite European basketball: an exploration under six head coaches. International Journal of Performance Analysis in Sport, Preprint., Available online 22 June, 2024. https://doi.org/10.1080/24748668.2024.2372905

Scanlan, A., Fox, J., Poole, J., Conte, D., Milanović, Z., Lastella, M., & Dalbo, V. (2018). A comparison of traditional and modified Summated-Heart-Rate-Zones models to measure internal training load in basketball players. Measurement in Physical Education and Exercise Science, 22(4), 303-309. https://doi.org/10.1080/1091367X.2018.1445089

Scanlan, A., Stojanović, E., Milanović, Z., Teramoto, M., Jeličić, M., & Dalbo, V. (2021). Aerobic capacity according to playing role and position in elite female basketball players using laboratory and field tests. International Journal of Sports Physiology and Performance, 16(3), 435-438. https://doi.org/10.1123/ijspp.2019-1001

Schaffarczyk, M., Rogers, B., Reer, R., & Gronwald, T. (2022). Validity of the Polar H10 sensor for heart rate variability analysis during resting state and incremental exercise in recreational men and women. Sensors, 22(17), 6536. https://www.mdpi.com/1424-8220/22/17/6536

Schwarz, E., Harper, L., Duffield, R., McCunn, R., Govus, A., Skorski, S., & Fullagar, H. (2021). Practitioner, coach, and athlete perceptions of evidence-based practice in professional sport in Australia. International Journal of Sports Physiology and Performance, 16(12), 1728-1735. https://doi.org/10.1123/ijspp.2020-0835

Torres-Ronda, L., Beanland, E., Whitehead, S., Sweeting, A., & Clubb, J. (2022). Tracking systems in team sports: A narrative review of applications of the data and sport specific analysis. Sports Medicine - Open, 8(1), 15. https://doi.org/10.1186/s40798-022-00408-z

Tuttle, M., Power, C., Dalbo, V., & Scanlan, A. (2024). Intensity zones and tntensity thresholds used to quantify external load in competitive basketball: A systematic review. Sports Medicine, 54(10), 2571-2596. https://doi.org/10.1007/s40279-024-02058-5

von Elm, E., Altman, D., Egger, M., Pocock, S., Gøtzsche, P., & Vandenbroucke, J. (2007). Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. Bmj, 335(7624), 806-808. https://doi.org/10.1136/bmj.39335.541782.AD

Vretaros, A. (2024). Describing the distribution of training loads in the microcycles and mesocycles of competitive basketball. Italian Journal of Sports Rehabilitation and Posturology, 11(31), 2872-2896.

West, S., Clubb, J., Torres-Ronda, L., Howells, D., Leng, E., Vescovi, J., . . . Windt, J. (2021). More than a metric: How training load is used in elite sport for athlete management. International Journal of Sports Medicine, 42(4), 300-306. https://doi.org/10.1055/a-1268-8791

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Published

2025-08-18

How to Cite

Everything is not equal – comparisons in sessional training and game loads between main and bench players in a female basketball team. (2025). E-Balonmano Com Journal Sports Science, 21(3, special issue), 333-346. https://doi.org/10.17398/1885-7019.21.333