Analysis of Team Effieciency in the 2026 Indonesian Basketball League Finals
Ball Control, Shooting Efficiency, and Offensive Rebounds
DOI:
https://doi.org/10.31004/anthor.v5i5.1510Keywords:
Basketball, Game Efficiency, Turnovers, Offensive Rebounds, Three-Point ShootingAbstract
Basketball game efficiency is a multidimensional factor that determines match outcomes. This study aims to analyze team efficiency in the 2026 Indonesian Basketball League (IBL) Finals between Pelita Jaya Basketball (PJB) and Bogor Hornbills Basketball (BHB), focusing on ball control, shooting efficiency, and offensive rebounds. This comparative quantitative study uses secondary data from official box-score statistics across five final games (N = 5). The variables analyzed include the assist-to-turnover ratio (AST_TO), turnover differential (TO_Diff), offensive rebounds (OREB), free-throw percentage (FT%), two-point field-goal percentage (2PT%), and three-point field-goal percentage (3PT%). Inferential analysis revealed statistically significant differences in ball-control efficiency (AST_TO: PJB 1.62 ± 0.78 vs. BHB 1.80 ± 0.61, p-value = 0.042) and offensive rebounding dominance (OREB: PJB 10.0 ± 2.7 vs. BHB 12.8 ± 2.1, p-value = 0.015). In contrast, overall three-point shooting efficiency showed no significant difference (3PT%: PJB 28.6 ± 8.1% vs. BHB 28.6 ± 6.2%, p-value = 0.981). These findings confirm that victory is not determined by a single indicator but rather by the integration of turnover management, offensive rebounding, and shooting consistency. The practical implications suggest that coaches should prioritize strategies to control turnovers and improve offensive rebounding while maintaining shooting accuracy in crucial games.
References
Ángel Gómez, M., Lorenzo, A., Sampaio, J., Ibáñez, S. J., & Ortega, E. (2008). Game-related statistics that discriminated winning and losing teams from the Spanish men’s professional basketball teams. Collegium Antropologicum, 32.
Borrega-Solano, A., Lopez-Sierra, P., Campos-Redondo, A., & Garcia-Rubio, J. (2026). How teams score may matter more than how often: Play-type efficiency, usage, and success in the NBA. Applied Sciences, 16(11), Article 5342. https://doi.org/10.3390/app16115342
Braznikovas, A. (2023). The importance of basketball performance indicators in determining winning and losing teams in U16 MKL championship. Lithuanian Sports University.
Cabarkapa, D., Cabarkapa, D. V., & Fry, A. C. (2024). Game-related statistics that discriminate winning from losing in NCAA Division-I men’s basketball. Frontiers in Sports and Active Living, 6, Article 1387918. https://doi.org/10.3389/fspor.2024.1387918
Cheng, S., & Zhang, M. (2025). Analysis of influencing factors of basketball match based on multiple regression model. In Proceedings of the 2024 International Conference on Sports Technology and Performance Analysis (ICSTPA 2024) (pp. 264–270). https://doi.org/10.1145/3723936.3723976
Foteinakis, P. F., & Pavlidou, S. P. (2025a). A decade of evolution: Comparative analysis of shooting trends and offensive efficiency in the NBA and EuroLeague. Montenegrin Journal of Sports Science and Medicine, 14(2), 13–19. https://doi.org/10.26773/mjssm.250902
Foteinakis, P. F., & Pavlidou, S. P. (2025b). Game-related performance metrics differentiating winning and losing teams in the Basketball Champions League. Journal of Physical Education, 36(1). https://doi.org/10.4025/jphyseduc.v36i1.3647
Nagy, B. Á., Nagy, B. Á., Nagy, Á., Gáll, J., & Sterbenz, T. (2025). Rethinking the strongest link: VAL, ratings, and team success in Hungarian basketball. Frontiers in Sports and Active Living, 7, Article 1658676. https://doi.org/10.3389/fspor.2025.1658676
Nowak, M., Skalik, M., Wawrzyńczak, M., Ciejpa, R., Fujii, K., & Więckowski, J. (2026). Match outcome prediction in 3x3 basketball: Validating team performance index and benchmarking against shooting efficiency and shooting value (Paris 2024 Olympics). Physical Activity Review, 14(1), 121–140. https://doi.org/10.16926/par.2026.14.11
Pantazis, D., Kokkotis, C., Avloniti, A., Stamboulis, T., Foteinakis, P., Aggelakis, P., Balampanos, D., Protopapa, M., Dendrinos, A., Margonis, K., Zaras, N., Pafis, G., Malliou, P., Michalopoulou, M., & Chatzinikolaou, A. (2026). Performance profiles in youth basketball across different score contexts: An unsupervised machine learning analysis. Preprints. https://doi.org/10.20944/preprints202606.0882.v1
Uysal, A. A., Carroll, K., Huebner, A., Krush, A., & Stone, M. H. (2026). Quantifying the impact of basketball performance metrics on winning in professional and collegiate basketball. Scientific Journal of Sport and Performance, 5(2), 298. https://doi.org/10.55860/DHNF1439
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ria Apriliani, Dinda Khoerunnisa, Ahmad Rizal
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
