SECTION IV - PSYCHOLOGICAL AND SOCIOLOGICAL ASPECTS OF SPORT AND EXERCISE / RESEARCH PAPER
Lineup Types and Key Variables for Success in Men's Paralympic Wheelchair Basketball
More details
Hide details
1
“Fundación Sanitas” Chair for Inclusive Sport Studies (CEDI), AFIPE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences, Universidad Politécnica de Madrid, Spain.
These authors had equal contribution to this work
Submission date: 2025-04-30
Final revision date: 2025-06-11
Acceptance date: 2025-09-02
Online publication date: 2025-11-20
Corresponding author
Javier Pérez-Tejero
“Fundación Sanitas” Chair for Inclusive Sport Studies (CEDI), Health and Human Performance, Facultad de Ciencias de la Actividad Física y del Deporte -INEF, Universidad Politécnica de Madrid, Spain
KEYWORDS
TOPICS
ABSTRACT
Understanding team performance dynamics in wheelchair basketball (WB) is crucial for optimising lineup compositions for different game situations. This study aimed to investigate the impact of lineup composition and game time on performance in men's WB at the Tokyo 2020 Paralympic Games. Through the analysis of 588 lineups from 42 matches, key game-related statistics (GRS) that differentiated winning from losing lineups were identified. Seventy different lineup types (LTs) were clustered and categorised based on players’ functional classification (FC) and their performance across time windows was examined. Discriminant analysis revealed that field goal efficiency, assists, and minimising opponent assists were crucial for success, regardless of game balance, emphasising the importance of both offensive and defensive efficacy. Clustering categorised LTs into three distinct groups, with those featuring predominantly intermediate-point players (2.0–3.5) exhibiting superior performance, particularly during extended playing time (over 10 minutes), indicating a strategic advantage for these compositions in sustaining high-level play. Top-ranked teams typically showed greater roster depth and a wider variation of LT utilisation. This research highlights the significance of strategic lineup composition, emphasising the sustained effectiveness of lineups with intermediate FC players. The findings provide valuable insights for coaches, aiding in data-driven decisions for lineup selection, game strategy optimisation, and functional player development within the specific demands of WB.
REFERENCES (40)
1.
Alonso, E., Miranda, N., Zhang, S., Sosa, C., Trapero, J., Lorenzo, J., & Lorenzo, A. (2020). Peak Match Demands in Young Basketball Players: Approach and Applications. International Journal of Environmental Research and Public Health, 17(7), 2256.
https://doi.org/10.3390/ijerph....
2.
Arroyo, R., Alsasua, R., Arana, J., Lapresa, D., & Teresa Anguera, M. (2023). Match analysis in wheelchair basketball: An observational analysis of the best team in the world (USA) in the 2020 Paralympic Games. International Journal of Sports Science & Coaching, 19(3), 1112–1122.
https://doi.org/10.1177/174795....
3.
Balague, N., Torrents, C., Hristovski, R., Davids, K., & Araújo, D. (2013). Overview of complex systems in sport. Journal of Systems Science and Complexity, 26(1), 4–13.
https://doi.org/10.1007/s11424....
4.
Becerra-Muñoz, W., Wang, J., & Pérez-Tejero, J. (2023). Women's wheelchair basketball lineup analysis at the Tokyo 2020 paralympic games: game related statistics explaining team sport performance. Frontiers in Sports and Active Living, 5, 1281865.
https://doi.org/10.3389/fspor.....
5.
Calvo, G., Armero, C., Grimm, B., & Ley, C. (2024). Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach. The American Statistician, 79(2), 212–220.
https://doi.org/10.1080/000313....
6.
Cavedon, V., Zuccolotto, P., Sandri, M., Manisera, M., Bernardi, M., Peluso, I., & Milanese, C. (2024). Optimizing wheelchair basketball lineups: A statistical approach to coaching strategies. Plos One, 19(5), e0302596.
https://doi.org/10.1371/journa....
7.
Clay, C. D., & Clay, E. K. (2014). Player Rotation, On-court Performance and Game Outcomes in NCAA Men’s Basketball. International Journal of Performance Analysis in Sport, 14(2), 606–619.
https://doi.org/10.1080/247486....
8.
Fox, J. L., Conte, D., Stanton, R., McLean, B., & Scanlan, A. T. (2021). 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 & Conditioning Research, 35, S58–S63.
https://doi.org/10.1519/JSC.00....
9.
Francis, J., Owen, A., & Peters, D. M. (2019). Making Every “Point” Count: Identifying the Key Determinants of Team Success in Elite Men’s Wheelchair Basketball. Frontiers in Psychology, 10, 1431.
https://doi.org/10.3389/fpsyg.....
11.
Gómez, A. M., Molik, B., Morgulec-Adamowicz, N., & Szyman, J. R. (2015). Performance analysis of elite women’s wheelchair basketball players according to team-strength, playing-time and players’ classification. International Journal of Performance Analysis in Sport, 15(1), 268–283.
https://doi.org/10.1080/247486....
12.
Gómez, M. Á., Pérez, J., Molik, B., Szyman, R. J., & Sampaio, J. (2014). Performance analysis of elite men’s and women’s wheelchair basketball teams. Journal of Sports Sciences, 32(11), 1066–1075.
https://doi.org/10.1080/026404....
13.
Gonçalves, G., Neta, P., Ribeiro, J., Guimaraes, E. (2025). Internal and External Loads during Formal Training and Competition, Physical Capacities, and Technical Skills in Youth Basketball: A Comparison between Starters and Rotation Players. Journal of Human Kinetics, 96, 53–67.
https://doi.org/10.5114/jhk/20....
14.
Hernández-Beltrán, V., Ibáñez, S. J., Espada, M. C., & Gamonales, J. M. (2024). Sports Analysis of Wheelchair Basketball Game Statistics. Applied Sciences, 14(7), 2923.
https://doi.org/10.3390/app140....
15.
Huyghe, T., Alcaraz, P. E., Calleja-González, J., & Bird, S. P. (2022). The underpinning factors of NBA game-play performance: a systematic review (2001–2020). The Physician and Sportsmedicine, 50(2), 94–122.
https://doi.org/10.1080/009138....
16.
Ibáñez, S. J., Sampaio, J., Feu, S., Lorenzo, A., Gómez, M. A., & Ortega, E. (2008). Basketball game-related statistics that discriminate between teams’ season-long success. European Journal of Sport Science, 8(6), 369–372.
https://doi.org/10.1080/174613....
17.
Iturricastillo, A., Garcia-Tabar, I., Reina, R., Garcia-Fresneda, A., Carmona, G., Perez-Tejero, J., & Yanci, J. (2022). Influence of upper-limb muscle strength on the repeated change of direction ability in international-level wheelchair basketball players. Research in Sports Medicine, 30(4), 383–399.
https://doi.org/10.1080/154386....
18.
Iturricastillo, A., Granados, C., Cámara, J., Reina, R., Castillo, D., Barrenetxea, I., Lozano, L., & Yanci, J. (2018). Differences in Physiological Responses During Wheelchair Basketball Matches According to Playing Time and Competition. Research Quarterly for Exercise and Sport, 89(4), 474–481.
https://doi.org/10.1080/027013....
21.
Kubatko, J., Oliver, D., Pelton, K., & Rosenbaum, D. T. (2007). A Starting Point for Analyzing Basketball Statistics. Journal of Quantitative Analysis in Sports, 3(3), 1–22.
https://doi.org/10.2202/1559-0....
22.
Marszałek, J., Gryko, K., Kosmol, A., Morgulec-Adamowicz, N., Mróz, A., & Molik, B. (2019). Wheelchair Basketball Competition Heart Rate Profile According to Players’ Functional Classification, Tournament Level, Game Type, Game Quarter and Playing Time. Frontiers in Psychology, 10, 773.
https://doi.org/10.3389/fpsyg.....
23.
Martinho, D. V., Clemente, F. M., Gomez, M., Rebelo, A., Field, A., Santos, C. C. ... & Sarmento, H. (2025). Physical, Physiological, Technical and Tactical Responses According to Playing Position in Male Basketball: A Systematic Scoping Review. Journal of Human Kinetics, 96, 5–35.
https://doi.org/10.5114/jhk/20....
24.
McLaren, S. J., Macpherson, T. W., Coutts, A. J., Hurst, C., Spears, I. R., & Weston, M. (2018). The Relationships Between Internal and External Measures of Training Load and Intensity in Team Sports: A Meta-Analysis. Sports Medicine, 48(3), 641–658.
https://doi.org/10.1007/s40279....
25.
Molik, B., Kosmol, A., Morgulec-Adamowicz, N., Laskin, J. J., Jezior, T., & Patrzalek, M. (2009). Game Efficiency of Elite Female Wheelchair Basketball Players During World Championships (Gold Cup) 2006. European Journal of Adapted Physical Activity, 2(2), 26–38.
https://doi.org/10.5507/euj.20....
27.
Oliver, D. (2004). Basketball on paper: rules and tools for performance analysis (1st Ed.). Potomac Books, Inc.
28.
Pérez-Chao, E. A., Portes, R., Gómez, M. Á., Parmar, N., Lorenzo, A., & Jiménez Sáiz, S. L. (2023). A Narrative Review of the Most Demanding Scenarios in Basketball: Current Trends and Future Directions. Journal of Human Kinetics, 89, 231–245.
https://doi.org/10.5114/jhk/17....
29.
Pérez-Tejero, J., & Pinilla-Arbex, J. (2015). Wheelchair basketball player performance by game statistics. Cuadernos de Psicología del Deporte, 15(3), 231–236.
30.
Pérez-Tejero, J., Pinilla-Arbex, J., Aceituno-Duque, J., & Sampedro-Molinevo, J. (2020). Time and reglementary analysis during high level wheelchair basketball competition: training conclusions. SPORT TK-EuroAmerican Journal of Sport Sciences, 9(1), 7–14.
https://doi.org/10.6018/sportk....
31.
Pol, R., Balagué, N., Ric, A., Torrents, C., Kiely, J., & Hristovski, R. (2020). Training or Synergizing? Complex Systems Principles Change the Understanding of Sport Processes. Sports Medicine - Open, 6(1), 28.
https://doi.org/10.1186/s40798....
32.
Richardson, P., & Machan, L. (2021). Jamovi for Psychologists (1st Ed.). Bloomsbury Publishing.
33.
Sun, W. P., Chee, C., Kok, L., Lim, F., & Samsudin, S. (2023). Differentiating attack-defense performance for starting and bench players during the Tokyo Olympics men's basketball competition. Plos one, 18(12), e0296012.
https://doi.org/10.1371/journa....
35.
Vanlandewijck, Y. C., Evaggelinou, C., Daly, D. D., Van Houtte, S., Verellen, J., Aspeslagh, V., Hendrickx, R., Piessens, T., & Zwakhoven, B. (2003). Proportionality in Wheelchair Basketball Classification. Adapted Physical Activity Quarterly, 20(4), 369–380.
https://doi.org/10.1123/apaq.2....
36.
Vanlandewijck, Y. C., Evaggelinou, C., Daly, D. J., Verellen, J., Van Houtte, S., Aspeslagh, V., Hendrickx, R., Piessens, T., & Zwakhoven, B. (2004). The relationship between functional potential and field performance in elite female wheelchair basketball players. Journal of Sports Sciences, 22(7), 668–675.
https://doi.org/10.1080/026404....
37.
Vanlandewijck, Y. C., Verellen, J., & Tweedy, S. (2011). Towards evidence-based classification in wheelchair sports: Impact of seating position on wheelchair acceleration. Journal of Sports Sciences, 29(10), 1089–1096.
https://doi.org/10.1080/026404....
38.
Wang, Y. T., Chen, S., Limroongreungrat, W., & Change, L.-S. (2005). Contributions of Selected Fundamental Factors to Wheelchair Basketball Performance. Medicine & Science in Sports & Exercise, 37(1), 130–137.
https://doi.org/10.1249/01.mss....
39.
Yasuda, T., Tachibana, K., & Mutsuzaki, H. (2024). Relationship between screen-play scenarios' effectiveness and player classification in elite wheelchair basketball based on match results of Tokyo 2020 Paralympic Games. Frontiers in Sports and Active Living, 6, 1418130.
https://doi.org/10.3389/fspor.....
40.
Ziv, G., Lidor, R., & Arnon, M. (2010). Predicting team rankings in basketball: The questionable use of on-court performance statistics. International Journal of Performance Analysis in Sport, 10(2), 103–114.
https://doi.org/10.1080/247486....