An Analytical Study Using the Player-Maker Device of Some Physical Variables of Midfielders and Attackers of Al-Karkh Football Club Under (19) Years Old
DOI:
https://doi.org/10.37359/JOPE.V38(SpecialIssue)2026.2283الكلمات المفتاحية:
Work rate، distance covered، back turnsالملخص
The research aims to identify the values of physical variables and their differences according to the Player-Maker device for the performance of midfielders and attackers in matches of the Iraqi Youth League Under (19) years old. The main experiment was conducted in the Iraqi League on a sample of Al-Karkh Sports Club youth players, including the midfield and attack positions. The researcher used a descriptive approach with a comparative approach. The statistical package (SPSS) was used to extract the results (Mean), (Std-Deviation), and (One-Way ANOVA). The researchers concluded that there were no significant differences in the playing levels of Al-Karkh Club in terms of the value of the physical variables studied. This indicates that playing levels and performance did not improve during matches against Al-Ittihad, Al-Kahraba, Al-Zawraa, Al-Talaba, and Amanat Baghdad clubs. The researchers recommend using the Player-Maker device in futsal to extract other physical variables, and to use the device in many other games, such as basketball, handball, and others, to extract many physical variables.
المراجع
Amani, A. R. (2018). Distance covered and activity analysis of football players during World Cup 2014. Archivos de Medicina del Deporte, 35(188), 376–379.
Bangsbo, J., Mohr, M., & Krustrup, P. (2006). Physical and metabolic demands of training and match-play in the elite football player. Journal of Sports Sciences, 24(7), 665–674. https://doi.org/10.1080/02640410500482529
Bradley, P. S., Carling, C., Archer, D., Roberts, J., Dodds, A., Di Mascio, M., ... & Krustrup, P. (2013). The effect of playing formation on high-intensity running and technical profiles in English FA Premier League soccer matches. Journal of Sports Sciences, 29(8), 821–830. https://doi.org/10.1080/02640414.2011.561868
Buchheit, M., Mendez-Villanueva, A., Simpson, B. M., & Bourdon, P. C. (2010). Repeated-sprint sequences during youth soccer matches. International Journal of Sports Medicine, 31(10), 709–716. https://doi.org/10.1055/s-0030-1261897
Carling, C., Bloomfield, J., Nelsen, L., & Reilly, T. (2008). The role of motion analysis in elite soccer: Contemporary performance measurement techniques and work rate data. Sports Medicine, 38(10), 839–862. https://doi.org/10.2165/00007256-200838100-00004
Castellano, J., Errekagorri, I., Los Arcos, A., Casamichana, D., Martín‑García, A., Clemente, F., López‑Del Campo, R., Resta, R., & Echeazarra, I. (2022). Tell me how and where you play football and I’ll tell you how much you have to run. Biology of Sport, 39(3), 607–614. https://doi.org/10.5114/biolsport.2022.106155
Dellal, A., Chamari, K., Wong, D. P., Ahmaidi, S., Keller, D., Barros, R., & Carling, C. (2010). Comparison of physical and technical performance in European soccer match-play: FA Premier League and La Liga. European Journal of Sport Science, 11(1), 51–59. https://doi.org/10.1080/17461391.2010.481334
Eccles, D. W., Ward, P., & Woodman, T. (2009). Competition-specific preparation and expert performance. Psychology of Sport and Exercise, 10(1), 96–107. https://doi.org/10.1016/j.psychsport.2008.06.001
Linke, D., Link, D., Weber, H., & Lames, M. (2018). Decline in match running performance in football is affected by an increase in game interruptions. Journal of Sports Science & Medicine, 17(4), 662–667.
Lovell, R., Barrett, S., Portas, M., & Weston, M. (2013). Re‑examination of the post half‑time reduction in soccer work‑rate. Journal of Science and Medicine in Sport, 16(3), 250–254. https://doi.org/10.1016/j.jsams.2012.06.004
Mernagh, D., Weldon, A., Wass, J., Phillips, J., Parmar, N., Waldron, M., & Turner, A. (2021). A comparison of match demands using ball‑in‑play versus whole match data in professional soccer players of the English Championship. Sports, 9(6), 76. https://doi.org/10.3390/sports9060076
Mohammed, H. M., Majed, O. M., Abdulkareem, O. W., Abdulhussein, A. A., Shehab, G. M., & Kadhim, M. J. (2026, August). Effects of an augmented motor reality–based training program on spatial awareness and skill-based decision making in youth basketball players. In AIP Conference Proceedings (Vol. 3513, No. 1, p. 020019). AIP Publishing LLC.
Padrón‑Cabo, A., Rey, E., Vidal, B., & García‑Nuñez, J. (2018). Work‑rate analysis of substitute players in professional soccer: Analysis of seasonal variations. Journal of Human Kinetics, 65, 165–174. https://doi.org/10.2478/hukin-2018-0025
Rahnama, N., Reilly, T., Lees, A., & Graham‑Smith, P. (2003). Muscle fatigue induced by exercise simulating the work rate of competitive soccer. Journal of Sports Sciences, 21(11), 933–942. https://doi.org/10.1080/0264041031000140428
Rein, R., & Memmert, D. (2016). Big data and tactical analysis in elite soccer: Future challenges and opportunities for sports science. SpringerPlus, 5, 1410. https://doi.org/10.1186/s40064-016-3108-2
Sheppard, J. M., & Young, W. B. (2006). Agility literature review: Classifications, training and testing. Journal of Sports Sciences, 24(9), 919–932. https://doi.org/10.1080/02640410500457109
Vilar, L., Araújo, D., Davids, K., & Button, C. (2012). The role of ecological dynamics in analysing performance in team sports. Sports Medicine, 42(1), 1–10. https://doi.org/10.2165/11596520-000000000-00000
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