Long Passing Accuracy Level of IPPKM Football School Players in Kerinci Regency
DOI:
https://doi.org/10.26858/cjpko.v17i3.346Keywords:
long passing, Accuracy, Football, Youth development, Technical skillsAbstract
Purpose: This study aims to determine the long passing accuracy level of IPPKM Football School players in Kerinci Regency. Methods: This descriptive research employed a survey method with test and measurement instruments. The population consisted of 65 IPPKM Football School players in Kerinci Regency, with a purposive sampling technique selecting 20 players aged 17 years. The Bobby Charlton long passing test was used as the research instrument. Data analysis utilized descriptive statistics to categorize performance levels. Results: The findings revealed that the long passing accuracy of IPPKM Football School players in Kerinci Regency showed 8 players (40%) in the good category and 12 players (60%) in the moderate category. No players achieved excellent, poor, or very poor categories. Implications: These results indicate that the long passing accuracy level of IPPKM Football School players demonstrates adequate performance that requires further improvement through systematic training programs.
References
Abdika, A., Munar, H., & Daya, W. J. (2025). Long passing accuracy level of IPPKM football school players in Kerinci regency. Competitor: Jurnal Pendidikan Kepelatihan Olahraga, 1(1), 1–10.
Badawi, A., & Nasrulloh, A. (2021). Survei Analisis Biomekanik Passing Pada Pemain Sepakbola Private Training Pati. Jurnal Literasi Olahraga, 2(4), 273–278. https://doi.org/10.35706/jlo.v2i4.6628
Buldú, J. M., Busquets, J., Martínez, J. H., Herrera-Diestra, J. L., Echegoyen, I., Galeano, J., & Luque, J. (2018). Using network science to analyse football passing networks: Dynamics, space, time, and the multilayer nature of the game. Frontiers in Psychology, 9, 1900. https://doi.org/10.3389/fpsyg.2018.01900
Chacoma, A., & Billoni, O. V. (2025). Identification and optimization of high-performance passing networks in football. In arXiv preprint. https://arxiv.org/html/2502.01444v1
Clemente, F. M., Sarmento, H., & Aquino, R. (2020). Player position relationships with centrality in the passing network of world cup soccer teams: Win/loss match comparisons. Chaos, Solitons & Fractals, 133, 109625. https://doi.org/10.1016/j.chaos.2020.109625
Daryono, D. (2019). Survei Tingkat Kesegaran Jasmani Pada Peserta Ekstrakulikuler Sepakbola Di Sma Negeri 2 OKU. Halaman Olahraga Nusantara (Jurnal Ilmu Keolahragaan), 2(1), 21–28. https://doi.org/10.31851/hon.v2i1.2402
Fernández-Valdés, B., Husted, H. M., & Moras, G. (2023). Decision making influences movement variability and performance of high-level female football players in an elastic resistance task. Frontiers in Psychology, 14, 1175248. https://doi.org/10.3389/fpsyg.2023.1175248
Gaviria Alzate, S. J. O., Higuita, D. A., Jaramillo, A. F., & Machado, J. A. (2025). Impact of a tactical critical thinking program (TPCT) on ball control and passing accuracy in U-8 football players: A quasi-experimental study. International Journal of Sports Science & Coaching. https://doi.org/10.1177/17479541251335229
Gazali, N., Hasrion, & Sari, M. (2020). Meningkatkan Kemampuan Teknik Dasar Shooting Sepakbola Melalui Metode Bagian. Edu Sportivo: Indonesian Journal of Physical Education, 1(1), 16–24. https://doi.org/10.25299/es:ijope.2020.vol1(1).5119
Hardani, Andriani, H., Ustiawaty, J., Utami, E., Istiqomah, R., & Fardani, R. (2020). Metode Penelitian Kualitatif & Kuantitatif (1 (ed.)). Pustaka Ilmu. https://www.pustakailmu.co.id
Li, X., Wang, Y., & Zhang, M. (2025). The optimization of youth football training using deep learning and artificial intelligence. Scientific Reports, 15, 8190. https://doi.org/10.1038/s41598-025-93159-2
Memmert, D., Lemmink, K. A. P. M., & Sampaio, J. (2017). Current approaches to tactical performance analyses in soccer using position data. Sports Medicine, 47, 1–10. https://doi.org/10.1007/s40279-016-0562-5
Merlin, M., Pinto, A., Moura, F. A., & Torres, R. da S. (2024). Who are the best passing players in professional soccer? A machine learning approach for classifying passes with different levels of difficulty and discriminating the best passing players. PLoS ONE, 19(5), e0304139. https://doi.org/10.1371/journal.pone.0304139
Otte, F. W. (2021). Contemporary Skill (Acquisition) Training Methods in Specialist Football Goalkeeper Coaching. Deutsche Sporthochschule Köln.
Steiner, S. (2018). Passing decisions in football: Introducing an empirical approach to estimating the effects of perceptual information and associative knowledge. Frontiers in Psychology, 9, 361. https://doi.org/10.3389/fpsyg.2018.00361
Vanrenterghem, J., Deschamps, K., & Palmans, T. (2024). Behavioral and cortical dynamics underlying superior accuracy in short-distance passes. Behavioural Brain Research, 471, 114766. https://doi.org/10.1016/j.bbr.2024.114766
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