Sažetak
Ovaj rad istražuje transformativnu ulogu video-analitike u savremenoj košarci kroz sveobuhvatnu kvalitativnu analizu dva vodeća softverska rešenja – Synergy Sports i Hudl. Primenom kvalitativno-deskriptivne metodologije, istraživanje procenjuje tehničke i metodološke dimenzije oba sistema, uključujući dizajn interfejsa i korisničko iskustvo, dostupnost i korisničku podršku, kao i mogućnosti primene u obuci i takmičarskom okruženju. Posebna pažnja posvećena je pedagoškim i taktičkim implikacijama, odnosno analizi u kojoj meri ovakvi alati redefinišu pripremu, donošenje odluka i evaluaciju sportskih performansi. Analiza pokazuje da Synergy Sports nudi visokosofisticirane funkcionalnosti prilagođene profesionalnim ligama i vrhunskom nivou takmičenja, dok Hudl, zahvaljujući svojoj fleksibilnosti i dostupnosti, zauzima centralnu ulogu u obrazovnim i amaterskim kontekstima. SWOT analiza dodatno ističe njihove prednosti i nedostatke, ukazujući na različite strateške oblasti u kojima svaki sistem ostvaruje maksimalan uticaj. Zaključci ukazuju da video-analitika, iako posredovana savremenim tehnologijama, ne zamenjuje trenersku intuiciju; naprotiv, ona proširuje granice taktičkog promišljanja i uvodi novu epistemologiju sportskog znanja.
Reference
- Booroff, M., Nelson, L., & Potrac, P. (2016). A coach’s political use of video-based feedback: a case study in elite-level academy soccer. Journal of Sports Sciences, 34(2), 116–124. https://doi.org/10.1080/02640414.2015.1039464
- Carling, C., Reilly, T., & Williams, A. M. (2008). Performance assessment for field sports: Physiological, psychological and match notational assessment in practice. Routledge. https://doi.org/10.4324/9780203890691
- Groom, R., Nelson, L., & Potrac, P. (2022). Learning through the lens: The pedagogical value of video analysis in coach education. Sport, Education and Society, 27(4), 497–512. https://doi.org/10.1080/13573322.2021.1939974
- Huang, Z., Wang, W., Jia, Z., & Wang, Z. (2024). Exploring the integration of artificial intelligence in sports coaching: Enhancing training efficiency, injury prevention, and overcoming implementation barriers. Journal of Computer and Communications, 12(12), 201–217. https://doi.org/10.4236/jcc.2024.1212012
- (2022). Video performance analysis for teams at every level. Retrieved June 23, 2025, from https://www.hudl.com
- Hughes, M., & Franks, I. M. (2004). Notational analysis of sport: Systems for better coaching and performance in sport (2nd ed.). Routledge. https://doi.org/10.4324/9780203641958
- Jarraya, M., Rekik, G., Belkhir, Y., Chtourou, H., Nikolaidis, P. T., Rosemann, T., & Knechtle, B. (2019). Which presentation speed is better for learning basketball tactical actions through video modeling examples? The influence of content complexity. Frontiers in Psychology, 10, Article 2356. https://doi.org/10.3389/fpsyg.2019.02356
- Kassens-Noor, E., & Lauermann, J. (2022). Algorithmic bias and technological inequality in sports performance analysis. International Journal of Sport Policy and Politics, 14(3), 295–310. https://doi.org/10.1080/19406940.2022.2049524
- Moreno, R., Garcia, I., & Chacon, J. (2023). Standardization gaps in sports video analytics: A comparative study of systems. International Journal of Performance Analysis in Sport, 23(2), 134–150. https://doi.org/10.1080/24748668.2023.2175489
- Nelson, L. J., Potrac, P., & Groom, R. (2014). Receiving video-based feedback in elite ice-hockey: a player’s perspective. Sport, Education and Society, 19(1), 19–40. https://doi.org/10.1080/13573322.2011.613925
- Othman, S., Delgado, R., Liu, Y., & Rezaei, M. (2024). Multimodal AI systems in sports analytics: Integrating visual, auditory and biomechanical data for performance interpretation. Journal of Sports Science & Technology, 39(1), 52–71. https://doi.org/10.1016/j.jsst.2023.11.005
- Partington, M., Cushion, C., & Harvey, S. (2020). Video-based feedback in coach development: An analysis of its pedagogical value and limitations. Physical Education and Sport Pedagogy, 25(6), 567–582. https://doi.org/10.1080/17408989.2020.1789575
- Rangasamy, K., As’ari, M. A., Rahmad, N. A., Ghazali, N. F., & Ismail, S. (2020). Deep learning in sport video analysis: A review. TELKOMNIKA (Telecommunication Computing Electronics and Control), 18(4), 1926–1933. https://doi.org/10.12928/TELKOMNIKA.v18i4.14730
- Synergy Sports. (2010). Phase 2 logging tutorial. Retrieved June 27, 2025, from https://www.synergysports.com/tutorials/logging-phase2
- Synergy Sports. (2023). Basketball tools for advanced performance analysis. Retrieved June 27, 2025, from https://www.synergysports.com
- Synergy Sports. (n.d.). Getting started. Retrieved June 23, 2025, from https://support.synergysports.com/support/solutions/articles/77000565433-getting-started
- Tang, K., Makransky, G., & Kee, Y. H. (2020). Immersive analytics in sports: Using virtual reality for interactive game analysis and decision training. Computers & Education, 149, 103814. https://doi.org/10.1016/j.compedu.2020.103814
- Taylor, W. G., Potrac, P., Nelson, L. J., Jones, L., & Groom, R. (2017).
An elite hockey player’s experiences of video-based coaching: A poststructuralist reading. International Review for the Sociology of Sport, 52(1), 112–125. https://doi.org/10.1177/1012690215576102 - Vec, V., Tomažić, S., Kos, A., & Umek, A. (2024). Trends in real-time artificial intelligence methods in sports: A systematic review. Journal of Big Data, 11, 148. https://doi.org/10.1186/s40537-024-00956-5
- Wright, C., Atkins, S., & Jones, B. (2013). The role of performance analysts within the coaching process: Performance analysts survey “The coaches’ perspective.” International Journal of Performance Analysis in Sport, 13(1), 240–261. https://doi.org/10.1080/24748668.2013.11868645
- Yin, H., Sinnott, R. O., & Jayaputera, G. T. (2024). A survey of video-based human action recognition in team sports: Datasets, methods, and applications. Artificial Intelligence Review. https://doi.org/10.1007/s10462-024-10934-9
- Pu, Y. Pan, S. Wang, B. Liu, M. Chen, H. Ma, & Y. Cui. (2024). Orientation and decision-making for soccer based on sports analytics and AI: A systematic review. IEEE/CAA Journal of Automatica Sinica, 11 (1), 37–57, https://doi.org/10.1109/JAS.2023.123807
