تدوین الگوی مدیریت استعدادیابی ورزش فوتبال مبتنی بر فناوری های نوین

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Cao, S. (2024). Passing path predicts shooting outcome in football. Scientific Reports, 14(1), 9572. https://doi.org/10.1038/s41598-024-60183-7.

Cardoso, F.D.S.L., Afonso, J., Roca, A. & Teoldo, I. (2021). The association between perceptual-cognitive processes and response time in decision making in young soccer players. Journal of Sports Sciences, 39(8), 926–935. https://doi.org/10.1080/02640414.2020.1851901

Coutinho, D., Kelly, A.L., Santos, S., Figueiredo, P., Pizarro, D. & Travassos, B. (2023). Exploring the effects of tasks with different decision-making levels on ball control, passing performance, and external load in youth football. Children (Basel, Switzerland), 10(2), 220. https://doi.org/10.3390/children10020220

Criollo-C, S., González-Rodríguez, M., Guerrero-Arias, A., Urquiza-Aguiar, L.F. & Luján-Mora, S. (2024). A review of emerging technologies and their acceptance in higher education. Education Sciences, 14(1), 10. https://doi.org/10.3390/educsci14010010

de Haan, M., van der Zwaard, S., Sanders, J., Beek, P.J. & Jaspers, R.T. (2025). Classifying soccer players based on physical capacities and match-specific running performance using machine learning. Journal of Sports Science & Medicine, 24(4), 764–778. https://doi.org/10.52082/jssm.2025.764

Dolson, C.M., Harlow, E.R., Phelan, D.M., Gabbett, T.J., Gaal, B., McMellen, C., Geletka, B.J., Calcei, J.G., Voos, J.E. & Seshadri, D.R. (2022). Wearable sensor technology to predict core body temperature: a systematic review. Sensors (Basel, Switzerland), 22(19), 7639.https://doi.org/10.3390/s22197639

Dudley, C., Johnston, R., Jones, B., Till, K., Westbrook, H. & Weakley, J. (2023). Methods of monitoring internal and external loads and their relationships with physical qualities, injury, or illness in adolescent athletes: a systematic review and best-evidence synthesis. Sports Medicine (Auckland, N.Z.), 53(8), 1559–1593. https://doi.org/10.1007/s40279-023-01844-x

Fortin-Guichard, D., Huberts, I., Sanders, J., van Elk, R., Mann, D.L. & Savelsbergh, G.J.P. (2022). Predictors of selection into an elite level youth football academy: A longitudinal study. Journal of Sports Sciences, 40(9), 984–999. https://doi.org/10.1080/02640414.2022.2044128

Foster, G., O'Reilly, N. & Naidu, Z. (2021). Playing-side analytics in team sports: multiple directions, opportunities, and challenges. Frontiers in Sports and Active Living, 3, 671601. https://doi.org/10.3389/fspor.2021.671601.

Garrido, D., Antequera, D.R., Campo, R.L.D., Resta, R. & Buldú, J.M. (2021). Distance between players during a soccer match: the influence of player position. Frontiers in Psychology, 12, 723414. https://doi.org/10.3389/fpsyg.2021.723414

Giblin, G., Tor, E. & Parrington, L. (2016). The impact of technology on elite sports performance. Sensoria: A Journal of Mind, Brain & Culture, 12(2). https://doi.org/10.7790/SA.V12I2.436

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Hill, M., Scott, S., Malina, R.M., McGee, D. & Cumming, S.P. (2020). Relative age and maturation selection biases in academy football. Journal of Sports Sciences, 38(11-12), 1359–1367. https://doi.org/10.1080/02640414.2019.1649524

Holienka, M., Mikulič, M., Kováč, K., Schlossár, M., Mokrý, P. & Babic, M. (2025). Speed ability of youth soccer players in the match. Journal of Physical Education & Sport, 25(3). https://doi.org/10.7752/jpes.2025.03069

Jeras, N.M.J., Bovend'Eerdt, T.J.H. & McCrum, C. (2020). Biomechanical mechanisms of jumping performance in youth elite female soccer players. Journal of Sports Sciences, 38(11-12), 1335–1341. https://doi.org/10.1080/02640414.2019.1674526

Johnston, K., Wattie, N., Schorer, J. & Baker, J. (2018). Talent identification in sport: a systematic review. Sports medicine (Auckland, N.Z.), 48(1), 97–109. https://doi.org/10.1007/s40279-017-0803-2

King, M., Brown, M., Cox, J., McLellan, R., Towlson, C. & Barrett, S. (2024). Talent identification in soccer: The influence of technical, physical and maturity-related characteristics on a national selection process. PloS One, 19(3), e0298359. https://doi.org/10.1371/journal.pone.0298359

Lames, M., Hermann, S., Prüßner, R. & Meth, H. (2021). Football match dynamics explored by recurrence analysis. Frontiers in Psychology, 12, 747058. https://doi.org/10.3389/fpsyg.2021.747058

Liu, Z. (2024). Construction and optimization of sports athlete selection and talent cultivation system based on data analysis. Journal of Electrical Systems, 20(6s), 2070-2081. https://doi.org/10.52783/jes.3122

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Mead, J., O’Hare, A. & McMenemy, P. (2023). Expected goals in football: Improving model performance and demonstrating value. PloS One, 18(4), e0282295.

Milosavljević, V., Kitanović, V., Milošević, M. & Rajković, Ž. (2025). Predictive model of career success of young elite football players. Journal of Applied Sports Sciences, 9, 115-136.

Munoz-Macho, A.A., Domínguez-Morales, M.J. & Sevillano-Ramos, J.L. (2024). Performance and healthcare analysis in elite sports teams using artificial intelligence: a scoping review. Frontiers in Sports and Active Living, 6, 1383723. https://doi.org/10.3389/fspor.2024.1383723

Nosek, P., Brownlee, T.E., Drust, B. & Andrew, M. (2021). Feedback of GPS training data within professional English soccer: a comparison of decision making and perceptions between coaches, players and performance staff. Science & Medicine in Football, 5(1), 35–47. https://doi.org/10.1080/24733938.2020.1770320

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Sánchez-Sánchez, J., Botella, J., Felipe Hernández, J.L., León, M., Paredes-Hernández, V., Colino, E., Gallardo, L. & García-Unanue, J. (2021). Heart rate variability and physical demands of in-season youth elite soccer players. International Journal of Environmental Research and Public Health, 18(4), 1391. https://doi.org/10.3390/ijerph18041391

Schulze, E., Julian, R. & Skorski, S. (2021). The accuracy of a low-cost GPS system during football-specific movements. Journal of Sports Science & Medicine, 20(1), 126–132. https://doi.org/10.52082/jssm.2021.126

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Tahmasbpourshafiei, M., Razavi, S.M.H., Amirnejad, S., Dousti, M. & Hosseini, S.E. (2025). Developing a comprehensive management model to identify iranian football talent. Sport Management Journal, 17(1), 44-19. https://doi.org/10.22059/jsm.2021.311639.2595. [In Persian]

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Wang, B., Wan, B., Chen, S., Zhang, Y., Bai, X., Xiao, W., Tang, C. & Long, B. (2024). A systematic review of the factors that affect soccer players' short-passing ability-based on the loughborough soccer passing test. BMC Sports Science, Medicine & Rehabilitation, 16(1), 96. https://doi.org/10.1186/s13102-024-00880-y.

Welch, M., Schaerf, T.M. & Murphy, A. (2021). Collective states and their transitions in football. PloS One, 16(5), e0251970. https://doi.org/10.1371/journal.pone.0251970

Wrona, H.L., Zerega, R., King, V.G., Reiter, C.R., Odum, S., Manifold, D., Latorre, K. & Sell, T.C. (2023). Ability of countermovement jumps to detect bilateral asymmetry in hip and knee strength in elite youth soccer players. Sports (Basel, Switzerland), 11(4), 77. https://doi.org/10.3390/sports11040077

Zou, Y., Kuek, F., Feng, W. & Cheng, X. (2025). Digital learning in the 21st century: trends, challenges, and innovations in technology integration [Review]. Frontiers in Education, 10- 2025. https://doi.org/10.3389/feduc.2025.1562391