Efecto de la distancia y posición angular de lanzamiento en jugadores u’14 de baloncesto. Análisis de la Minicopa Endesa
DOI:
https://doi.org/10.17398/1885-7019.22.209Palabras clave:
Análisis notacional, eficacia, baloncesto formativo, análisis espacial, modelos estadísticosResumen
En el baloncesto formativo, comprender los factores que influyen en la eficacia del lanzamiento es clave para optimizar el desarrollo técnico-táctico de los jóvenes jugadores. El presente estudio tuvo como objetivo analizar la influencia de la distancia y la posición angular de lanzamiento en el éxito de los lanzamientos en jugadores U’14 participantes en la Minicopa Endesa. Se registraron y analizaron 19.420 lanzamientos mediante técnicas de análisis descriptivo, modelización estadística (regresión logística, chi-cuadrado) y aprendizaje automático (Random Forest). Los resultados mostraron que la distancia al aro es el principal predictor de la eficacia del tiro, con una disminución significativa del porcentaje de acierto a medida que aumenta la distancia, especialmente a partir de los 6,75 metros. Por el contrario, la posición angular de lanzamiento presentó una influencia moderada y secundaria. Además, se detectaron patrones espaciales en la selección de zonas de lanzamiento, con preferencia por áreas cercanas al aro y desde la línea de tres puntos, y una clara evitación de las zonas intermedias. Estos hallazgos sugieren una interiorización temprana de modelos espaciales propios del baloncesto profesional y refuerzan la necesidad de diseñar tareas de entrenamiento que fomenten la eficacia desde múltiples distancias y posiciones, promoviendo así la versatilidad y la toma de decisiones contextualizada en etapas formativas.
Descargas
Referencias
Anguera, M. T., Blanco, A., Hernández, A., & Losada, J. L. (2011). Diseños observacionales: ajuste y aplicación en psicología del deporte. Cuadernos de Psicología del Deporte, 11,(2).
Anguera, M. T., & Hernández-Mendo, A. (2013). La metodología observacional en el ámbito del deporte. E-Balonmano Com, 9(3), 135-160.
Arias, J. L., Argudo, F. M., & Alonso, J. I. (2012). Distances and shooting zones as a function of mass of basketball among 9-to 11-year-old male players. South African Journal for Research in Sport, Physical Education and Recreation, 34(1), 1-11.
Asadi, A., Daneshfar, A., Maleki, B., & Aiken, C. A. (2023). Effects of attentional focus and gaze instruction during observational learning of a basketball free-throw. Hum Mov Sci, 87, 103038. https://doi.org/10.1016/j.humov.2022.103038
Bustamante-Sánchez, Á., & Jiménez-Saiz, S. L. (2024). Game location effect in game-related statistics and pre-shot combination differences between winners and losers during the basketball ACB COVID-19 season. PLOS ONE, 19(7), e0303908. https://doi.org/10.1371/journal.pone.0303908
Cabarkapa, D., Cabarkapa, D. V., Philipp, N. M., Eserhaut, D. A., Downey, G. G., & Fry, A. C. (2022). Impact of Distance and Proficiency on Shooting Kinematics in Professional Male Basketball Players. J Funct Morphol Kinesiol, 7(4). https://doi.org/10.3390/jfmk7040078
Cleveland, W. S., & Devlin, S. J. (1988). Locally weighted regression: an approach to regression analysis by local fitting. Journal of the American statistical association, 83(403), 596-610.
Contreras-Garcia, J. M., Courel-Ibanez, J., Pinar-Lopez, M. I., & Ibanez, S. J. (2024). Early specialization in formative basketball: A machine learning analysis of shooting patterns in U14 and professional players. J Sports Sci, 42(24), 2443-2450. https://doi.org/10.1080/02640414.2024.2436809
Cotta-Ortega, A., Contreras-García, J. M., López-Sierra, P., Gutiérrez-Capote, A., & Piñar-López, M. I. (2025a). Analysis of game situations in the 3-point shot in women’s basketball: A case study. E-balonmano com, Journal of Sports Science, 21(3, special issue), 347–362. https://doi.org/10.17398/1885-7019.21.347
Cotta-Ortega, A., Gutiérrez-Capote, A., Contreras-García, J. M., & Piñar, M. I. (2025b). Ball reversal as performance indicator in female basketball. E-balonmano com, Journal of Sports Science, 21(1), 49–64. https://doi.org/10.17398/1885-7019.21.49
Daly-Grafstein, D., & Bornn, L. (2020). Using in-game shot trajectories to better understand defensive impact in the NBA. Journal of Sports Analytics, 6, 235–242. https://doi.org/10.3233/JSA-200400
Escudero-Tena, A., Rodríguez-Galan, V., García-Rubio, J., & Ibáñez, S. J. (2021). Influence of the Specific Position on The Final Result of The Match in Professional Basketball. Revista de Psicología del deporte, 30(3), 19-24.
Fernández-Cortés, J. A., Mandly, M. G., García-Rubio, J., & Ibáñez, S. J. (2021). Contribution of professional basketball players according to the specific position and the competition phase. E-Balonmano Com, 17(3), 223-232.
Fu, Y., & Stasko, J. (2024). HoopInSight: Analyzing and Comparing Basketball Shooting Performance Through Visualization. IEEE Trans Vis Comput Graph, 30(1), 858-868. https://doi.org/10.1109/TVCG.2023.3326910
García, J., Ibáñez, S. J., Feu, S., Cañadas, M., & Parejo, I. (2008). Estudio de la gestoforma del lanzamiento a canasta en la liga E.B.A. Retos, 14, 17-21.
Goldsberry, K. (2012). Courtvision: New visual and spatial analytics for the nba. 2012 MIT Sloan sports analytics conference,
Gómez-Ruano, M. Á., Alarcón, F., & Ortega, E. (2015). Analysis of shooting effectiveness in elite basketball according to match status. Revista de Psicología del deporte, 24(3), 0037-0041.
Hamilton, G. R., & Reinschmidt, C. (1997). Optimal trajectory for the basketball free throw. Journal of sports sciences, 15(5), 491-504.
Ibáñez, S. J., Feu, S., García, J., Parejo, I., & Cañadas, M. (2009). Shot differences between professional (ACB) and amateur (EBA) basketball teams. Multifactorial study. Revista de Psicología del deporte(Supl. 18), 313-317.
Ibañez, S. J., García-Rubio, J., Gómez, M.-Á., & Gonzalez-Espinosa, S. (2018). The impact of rule modifications on elite basketball teams’ performance. Journal of human kinetics, 18(2), 318. https://doi.org/10.1080/24748668.2018.1475197
Ibáñez, S. J., García, J., Feu, S., Parejo, I., & Cañadas, M. (2009). Shot efficacy in the NBA: A multifactorial analysis. Cultura, Ciencia y Deporte, 10, 39-47.
Ibáñez, S. J., Mazo, A., Nascimento, J., & García-Rubio, J. (2018). The Relative Age Effect in under-18 basketball: Effects on performance according to playing position. Plos One, 13(7), Article e0200408. https://doi.org/10.1371/journal.pone.0200408
Ibáñez, S. J., Santos, J. A., & García, J. (2015). Multifactorial analysis of free throw shooting in eliminatory basketball games. International Journal of Performance Analysis in Sport, 15(3), 897-912. ://WOS:000370807100012
Kilcoyne, S. (2020). The decline of the mid-range jump shot in basketball: A study of the impact of data analytics on shooting habits in the NBA [Graduation Thesis, Bryant University].
Louppe, G. (2014). Understanding random forests: From theory to practice [Doctoral Thesis, Universite de Liege (Belgium)].
Miller, S., & Bartlett, R. (1996). The relationship between basketball shooting kinematics, distance and playing position [Article]. Journal of sports sciences, 14(3), 243-253. https://doi.org/10.1080/02640419608727708
Lucey, P., Bialkowski, A., Carr, P., Yue, Y., & Matthews, I. (2014, February). How to get an open shot: Analyzing team movement in basketball using tracking data. In Proceedings of the 8th annual MIT SLOAN sports analytics conference.
Min, B. J. (2016). Application of Monte Carlo simulations to improve basketball shooting strategy. Journal of the Korean Physical Society, 69(7), 1139-1143.
Morillo, J. P., Rivera-Gálvez, A., Quiñones-Rodríguez, Y., Caballero-Cerbán, M., Hernández-Mendo, A., & Reigal, R. E. (2025). Análisis de las conductas de los lanzamientos triples en Baloncesto 3x3. E-Balonmano Com, 21(3), 471-484. https://doi.org/10.17398/1885-7019.21.471
Okazaki, V. H. A., Okazaki, F. H. A., Sasaki, J. E., & Keller, B. (2007). Speed-accuracy relationship in basketball shoot. The Fiep Bulletin, 77, 745-747.
Okazaki, V. H. A., & Rodacki, A. L. F. (2012). Increased distance of shooting on basketball jump shot. Journal of sports science & medicine, 11(2), 231.
Okubo, H., & Hubbard, M. (2006). Dynamics of the basketball shot with application to the free throw. J Sports Sci, 24(12), 1303-1314. https://doi.org/10.1080/02640410500520401
Olteanu, M., Oancea, B. M., & Badau, D. (2023). Improving Effectiveness of Basketball Free Throws through the Implementation of Technologies in the Technical Training Process. Applied Sciences, 13(4). https://doi.org/10.3390/app13042650
Pereira, M., Graça, A., & Estriga, L. (2025). Estruturas táticas ofensivas (1-2-2 e 2-2-1) no basquetebol feminino Sub-14: estudo exploratório das interações na rede de passes. . E-Balonmano Com, 21(3), 459-470. https://doi.org/10.17398/1885-7019.21.459
Podmenik, N., Supej, M., Čoh, M., & Erčulj, F. (2017). The effect of shooting range on the dynamics of limbs angular velocities of the basketball shot. Kinesiology, 49(1), 92-100.
Plakias, S., Kokkotis, C., Pantazis, D., & Tsatalas, T. (2024). Comparative analysis of key performance indicators in Euroleague and national basketball leagues. Journal of Physical Education and Sport, 24(6), 1360-1372. https://doi.org/10.7752/jpes.2024.06154
Qu, Q., Li, M., Li, K., Zhang, J., & Kim, S. (2024). Effects of Basketball Shooting Distance on Release Angle. International Journal of Innovative Research in Computer Science and Technology, 12(2), 70-71. https://doi.org/10.55524/ijircst.2024.12.2.11
Sampaio, J., Janeira, M., Ibanez, S. J., & 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
Sandri, M. (2020). The R package BasketballAnalyzeR. In Basketball Data Science (pp. 185-196). Chapman and Hall/CRC.
Scott, D. W. (2015). Multivariate density estimation: Theory, practice, and visualization (2nd ed.). John Wiley & Sons. https://doi.org/10.1002/9781118575574
Slawinski, J., Louis, J., Poli, J., Tiollier, E., Khazoom, C., & Dinu, D. (2018). The effects of repeated sprints on the kinematics of 3-point shooting in basketball. Journal of human kinetics, 62, 5-14. https://doi.org/10.1515/hukin-2017-0156
Slegers, N., Lee, D., & Wong, G. (2021). The Relationship of Intra-Individual Release Variability with Distance and Shooting Performance in Basketball. Journal of Sports Science and Medicine, 508-515. https://doi.org/10.52082/jssm.2021.508
Tran, C. M., & Silverberg, L. M. (2008). Optimal release conditions for the free throw in men's basketball. J Sports Sci, 26(11), 1147-1155. https://doi.org/10.1080/02640410802004948
Tuquet, J., Lozano, D., Antunez, A., Larroy, J., & Mainer-Pardos, E. (2021). Determinant Factors for Throwing in Competition in Male Elite Handball. Sustainability, 13(19). https://doi.org/10.3390/su131910913
Vencúrik, T., Milanović, Z., Lazić, A., Li, F., Matulaitis, K., & Rupčić, T. (2022). Performance factors that negatively influence shooting efficiency in women’s basketball. Frontiers in Physiology, 13, 1042718. https://doi.org/10.3389/fphys.2022.1042718
Usabiaga, O., Castellano, J., Blanco-Villaseñor, Á., & Casamichana, D. (2013). La Teoría de la Generalizabilidad en las primeras fases del método observacional aplicado en el ámbito de la iniciación deportiva: calidad del dato y estimación de la muestra. Revista de Psicología del deporte, 22(1), 0103-0109.
Wand, M. P., & Jones, M. C. (1994). Kernel smoothing. CRC press.
Wang, F., & Zheng, G. (2022). What are the changes in basketball shooting pattern and accuracy in National Basketball Association in the past decade? Front Psychol, 13, 917980. https://doi.org/10.3389/fpsyg.2022.917980
Wickham, H. (2016). ggplot2: Elegant graphics for data analysis (2nd ed.). Springer.
Zajac, T., Mikolajec, K., Chmura, P., Konefal, M., Krzysztofik, M., & Makar, P. (2023). Long-Term Trends in Shooting Performance in the NBA: An Analysis of Two- and Three-Point Shooting across 40 Consecutive Seasons. Int J Environ Res Public Health, 20(3). https://doi.org/10.3390/ijerph20031924
Zuccolotto, P., & Manisera, M. (2020). Basketball data science: with applications in R. . CRC Press, Taylor & Francis Group.
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2026 E-balonmano Com, Revista de Ciencias del Deporte

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.