Performance Indicators in Football: Examining the impact of Passing and Crossing Efficiency on Team Rankings
DOI:
https://doi.org/10.58524/jcss.v4i2.889Keywords:
Passing efficiency, Crossing accuracy, Tactical performance, Football, Statistical analysis.Abstract
Background: Passing and crossing efficiency are recognized as key factors in football performance, yet their contextual influence in Southeast Asian competitions has been underexplored. The 2024 Mitsubishi Electric Cup offers a vital setting to examine how these technical indicators affect team tactics and rankings within the region's evolving football landscape.
Aims: This study aims to analyze team distribution performance through accurate passes, pass success rates, and crossing accuracy, and to determine how these variables relate to team rankings and tactical strategies in both offensive and defensive phases.
Methods: A quantitative approach was employed using descriptive statistics, Pearson correlation, and regression analysis. Data were collected from official tournament databases. The independent variables were accurate passes, pass success rate, and crossing accuracy, while team ranking served as the dependent variable.
Results: Data from ten teams were analyzed. Thailand recorded the highest pass success rate (85%) and passing volume (3,373 passes), showing strong possession control. Vietnam achieved the highest crossing accuracy (60%), indicating effective wide-play. Correlation analysis revealed a moderate relationship between pass success rate and crossing accuracy (r = 0.65, p < 0.05). Regression results confirmed that pass success rate significantly predicted passing volume (R² = 0.45, p < 0.05).
Conclusion: Teams with higher pass accuracy demonstrated superior control and competitive performance, while crossing efficiency was more context-dependent. Coaches and federations should emphasize structured passing drills and possession-based play, integrating crossing strategies selectively. Future studies should apply AI-assisted tactical modeling to enhance distribution and performance analysis in regional and global footballReferences
Anzer, G., & Bauer, P. (2022). Expected passes: Determining the difficulty of a pass in football (soccer) using spatio-temporal data. Data Mining and Knowledge Discovery, 36(1), 295–317. https://doi.org/10.1007/s10618-021-00810-3
Ball, J., Huynh, M., & Varley, M. C. (2025). Comparing player rating systems as a metric for assessing individual performance in soccer. Journal of Sports Sciences, 43(2), 215–224. https://doi.org/10.1080/02640414.2025.2471208
Caicedo-Parada, S. A., Ortega, E., & Palao, J. M. (2025). Evolution of match technical-tactical performance indicators according to age category in men's national football teams (World Cups 2003–2019). International Journal of Exercise Science, 18(3), 575–590. https://doi.org/10.70252/KNPB8178
Coppola, R., Pignato, S., D’Ambrosio, G., & Lipoma, M. (2019). Analysis of discriminant performance indicators of the FIFA Ranking in the 2018 World Cup. Journal of Physical Education and Sport, 19(Supplement 5), 1820–1824. https://doi.org/10.7752/jpes.2019.s5267
Forcher, L., Kempe, M., Altmann, S., & Woll, A. (2021). The “hockey” assist makes the difference—Validation of a defensive disruptiveness model to evaluate passing sequences in elite soccer. Entropy, 23(2), 180. https://doi.org/10.3390/e23121607
González-Rodenas, J., Ferrandis, J., Moreno-Pérez, V., & Coso, J. D. (2023). Differences in playing style and technical performance according to the team ranking in the Spanish football LaLiga: A thirteen seasons study. PLoS ONE, 18(1), e0280101. https://doi.org/10.1371/journal.pone.0293095
Håland, E. M., Wiig, A. S., Stålhane, M., & Hvattum, L. M. (2020). Evaluating passing ability in association football. IMA Journal of Management Mathematics, 31(1), 91–116. https://doi.org/10.1093/Imaman/dpz004
Jacinto, A. L. B., Praça, G. M., Pinheiro, G. D. S., & da Costa, V. T. (2024). Identification of indicators that predict victory in the five main CONMEBOL and UEFA leagues. International Journal of Sports Science & Coaching, 19(4), 812–823. https://doi.org/10.1177/17479541241249475
Junior, N. K. M., & Pinillo, I. R.(2025). Plyometric training: ASystematicreviewonvolumeandintensityinhigh-levelvolleyball.Journalof Sports and Physical Activity, 1(1), 12-25. https://doi.org/10.64268/jospa.v1i1.4
Kahlouche, I. Z. (2023). Match-related technical performance of qualified and eliminated teams in the group stage of Qatar 2022 World Cup. Turkish Sports Science, 30(3), 119–125. https://www.wbc.poznan.pl/Content/538225/Kahlouche_TSS_2023_303_119-125.pdf
Kempe, M., Goes, F. R., & Lemmink, K. A. P. M. (2018). Smart data scouting in professional soccer: Evaluating passing performance based on position tracking data. IEEE eScience, 8588745, 409–410. https://doi.org/10.1109/eScience.2018.00126
Klemp, M., Wunderlich, F., & Memmert, D. (2021). In-play forecasting in football using event and positional data. Scientific Reports, 11, 24139. https://doi.org/10.1038/s41598-021-03157-3
Kubayi, A. (2023). Position-specific physical and technical demands during the 2019 Copa América football tournament. South African Journal of Sports Medicine, 33(1). https://www.ajol.info/index.php/sasma/article/view/241578
Martín-Castellanos, A., Pereira-Monteiro, M. R., Hermosilla-Perona, F., Barba-Ruíz, M., Solana, D. M., & Alonso-Pérez-Chao, E. (2025, August 7). The numbers behind success: Key metrics for advancing in male EURO 2024. Frontiers in Sports and Active Living, 7, 1622887. https://doi.org/10.3389/fspor.2025.1622887
Martínez-Mejorado, D., & Ramirez-Marquez, J. E. (2023). A multidimensional framework to uncover insights of group performance and outcomes in competitive environments with a case study of FIFA World Cups. IEEE Access, 11, 32776–32791. https://doi.org/10.1109/ACCESS.2023.3263043
Merlin, M., Pinto, A., de Almeida, A. G., Moura, F. A., Da Silva Torres, R., & Cunha, S. A. (2022). Classification and determinants of passing difficulty in soccer: A multivariate approach. Journal of Sports Sciences, 6(4), 483–493. https://doi.org/10.1080/24733938.2021.1986227
Modric, T., Versic, S., Sekulic, D., & Liposek, S. (2019). Analysis of the Association between Running Performance and Game Performance Indicators in Professional Soccer Players. International Journal of Environmental Research and Public Health, 16(20), 4032. https://doi.org/10.3390/ijerph16204032
Moreira Praça, G., Braga Jacinto, A. L., de Sousa Pinheiro, G., & Teoldo da Costa, V. (2023). What are the key performance indicators related to winning matches in the German Bundesliga? International Journal of Performance Analysis in Sport, 23(5), 678–693. https://doi.org/10.1080/24748668.2023.2227923
Motshware, P., Francke, E., & Makwambeni, B. (2025). The Price of Fame on X: A Systematic Review of Social and Cultural Consequences of Cyberbullying of Celebrities on X. Language, Technology, and Social Media, 3(2), 266–287. https://doi.org/10.70211/ltsm.v3i2.226
Moustakidis, S., Plakias, S., Kokkotis, C., Tsatalas, T., & Tsaopoulos, D. (2023). Predicting football team performance with explainable AI: Leveraging SHAP to identify key team-level performance metrics. Future Internet, 15(5), 174. https://doi.org/10.3390/fi15050174
Muñoz, O., Monroy, R., Cañete-Sifuentes, L., & Ramirez-Marquez, J. E. (2024a). Automated Discovery of Successful Strategies in Association Football. Applied Sciences, 14(4), 1403. https://doi.org/10.3390/app14041403
Muñoz-Macho, A. A., Dominguez-Morales, M. J., & Sevillano-Ramos, J. L. (2024b). Analyzing ECG signals in professional football players using machine learning techniques. Heliyon, 10(5), e26789. https://doi.org/10.1016/j.heliyon.2024.e26789
Myftiu, A., & Thaqi, A. (2023). The relationship between game success indicators in the FIFA World Cup – Qatar 2022: An elastic-net regularization approach. Pedagogy of Physical Culture and Sports, 27(6), 474–480. https://doi.org/10.15561/26649837.2023.0605
Nazarudin, M. N., Okilanda, A., Ockta, Y., Nugraha, R., & Septian, R. D. (2025). Evaluating defensive strategies in football: Analysing the impact of defensive metrics on match outcomes. Journal
of Physical Education and Sport, 25(5), 1051-1059. https://doi.org/10.7752/jpes.2025.05116
Otero-Saborido, F. M., Aguado-Méndez, R. D., Torreblanca-Martínez, V. M., & González-Jurado, J. A. (2021). Technical-tactical performance from data providers: A systematic review in regular football leagues. Sustainability, 13(18), 10167. https://doi.org/10.3390/su131810167
Otero-Saborido, F. M., Torreblanca-Martínez, S., & González-Jurado, J. A. (2024). Crosses into the box: Comparison of the top five European football leagues. Physical Activity Review, 12(2), Article 18. https://doi.org/10.16926/par.2024.12.18
Perrotta, R., Ungureanu, A. N., Cherubini, D., & Lupo, C. (2025). Technical, tactical, and time–motion match profiles of the forwards, midfielders, and defenders of a men’s football Serie A team. Sports, 13(1), 25. https://doi.org/10.3390/sports13020028
Piskin, D., Müller, R., Büchel, D., Lehmann, T., & Baumeister, J. (2024). Behavioral and cortical dynamics underlying superior accuracy in short-distance passes. Behavioural Brain Research, 471, 115120. https://doi.org/10.1016/j.bbr.2024.115120
Plakias, S., Armatas, V., & Mitrotasios, M. (2025). Influence of tactics and situational variables on goal scoring in European football. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 239(2), 128–136. https://doi.org/10.1177/17543371241313252
Prieto-González, P., Martín, V., Pacholek, M., & Marcelino, R. (2024). Impact of offensive team variables on goal scoring in the first division of the Spanish soccer league: A comprehensive 10-year study. Scientific Reports, 14(1), 10234. https://doi.org/10.1038/s41598-024-77199-8
Ramos Pérez, D., Castellano, J., & Hernández-Mendo, A. (2021). Relationship between procedure and result indicators during a football season in the five major European leagues. E-Balonmano.com: Revista de Ciencias del Deporte, 17(1), 59–72. https://doi.org/10.17398/1885-7019.17.59
Redwood-Brown, A. J., O'Donoghue, P. G., Nevill, A. M., Saward, C., & Sunderland, C. (2019). Effects of playing position, pitch location, opposition ability, and team ability on the technical performance of elite soccer players in different scoreline states. PLOS ONE, 14(2), e0211707. https://doi.org/10.1371/journal.pone.0211707
Sarkar, S. (2018). Paradox of crosses in association football (soccer) - A game-theoretic explanation. Journal of Quantitative Analysis in Sports, 14(1), 25–36. https://doi.org/10.1515/jqas-2017-0073
Sharma, K., & Gera, M. (2025). Social Media Addiction and Adolescent Mental Health: The Mediating Role of Cognitive Interference in Digital Communication. Language, Technology, and Social Media, 1–15. https://doi.org/10.70211/ltsm.v3i2.185
Siyahtaş, A., & Ceviz, E. (2025). The Relationship between Career Satisfaction and Life Satisfaction: An Investigation from the Perspective of Efficacy of Football Coaches in Türkiye. Journal of Coaching and Sports Science, 4(2), 1–12. https://doi.org/10.58524/jcss.v4i2.563
Stafylidis, A., Mandroukas, A., Michailidis, Y., & Metaxas, T. I. (2024a). Decoding success: Predictive analysis of UEFA Euro 2024 to uncover key factors influencing soccer match outcomes. Applied Sciences, 14(2), 678. https://doi.org/10.3390/app14177740
Stafylidis, A., Mandroukas, A., Michailidis, Y., & Metaxas, T. I. (2024b). Decoding Success: Predictive Analysis of UEFA Euro 2024 to Uncover Key Factors Influencing Soccer Match Outcomes. Applied Sciences, 14(17), 7740. https://doi.org/10.3390/app14177740
Subak, E. (2022). An eighty percent pass accuracy may be a critical level on soccer team success. SportK, 11. https://doi.org/10.6018/SPORTK.482891
Tienza-Valverde, A., Hernández-Beltrán, V., Espada, M. C., Bravo-Sánchez, A., Santos, F. J., & Gamonales, J. M. (2023). Analysis of individual performance indicators of football goalkeepers. Apunts Sports Medicine, 58(219), 100420. https://doi.org/10.1016/j.apunsm.2023.100420
Vantarakis, A., & Stafylidis, A. (2023). Attributes of crosses and their impact on goal scoring in soccer leagues. Journal of Physical Education and Sport, 23(5), 1203–1211. https://doi.org/10.7752/jpes.2023.11352
Wang, S. H., & Qin, Y. (2020). Differences in the match performance of Asian women’s football teams. Journal of Physical Education and Sport, 20, 2231–2238. https://doi.org/10.7752/jpes.2020.s3299
Wilson, J., Stocks, J., Wood, S., & Clarke, J. (2025). The Evolution of Football Passing in Nineteenth-Century Britain. The International Journal of the History of Sport, 42(3), 264–282. https://doi.org/10.1080/09523367.2025.2495072
Wu, L. Y., Danielson, A. J., Hu, X. J., & Swartz, T. B. (2021). A contextual analysis of crossing the ball in soccer. Journal of Quantitative Analysis in Sports, 17(2), 121–132. https://www.sfu.ca/~tswartz/papers/crossing.pdf
Yu, Q., Gai, Y., Gong, B., & Cui, Y. (2020). Using passing network measures to determine the performance difference between foreign and domestic outfielder players in Chinese Football Super League. International Journal of Sports Science & Coaching, 15(5–6), 708–719. https://doi.org/10.1177/1747954120905726
Zeng, Y., & Zhang, H. (2022). Analysis of influencing factors of passes in the Chinese Super League. BMC Sports Science, Medicine and Rehabilitation, 14(1), 153. https://doi.org/10.1 186/s13102-022-00572-5
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