Benchmarking tactical efficiency in international football Identifying gaps and strategic improvements
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Abstract
This study evaluates the tactical efficiency of the South Korean national football team using a modified output-oriented BCC Data Envelopment Analysis (DEA) model, by benchmarking its performance against reference teams grouped by continental classifications. Among the four reference groups, America and Europe group produced feasible solutions. South Korean national football team consistently underperformed in converting tactical inputs into goals. In several cases indicating that the team would need to double its goal output—given its current resource level—to match benchmark efficiency. This research contributes methodologically by reinterpreting ∅ as a goal-scaling factor and slack variables as diagnostics for tactical inefficiencies. As such, DEA proves valuable not only for internal efficiency evaluation but also for strategic benchmarking in high-performance football contexts. This study offers a DEA-based framework to evaluate tactical efficiency by comparing teams’ resource usage and outcomes across formations and tournament stages. It benchmarks the target team against efficient team combinations to identify tactical gaps and input shortfalls. The findings provide strategic guidance by quantifying areas for improvement and suggesting optimal resource.
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Alves, Danilo L., et al. "What variables can differentiate winning and losing teams in the group and final stages of the 2018 FIFA World Cup?." International Journal of Performance Analysis in Sport 19.2 (2019): 248-257. https://doi.org/10.1080/24748668.2019.1593096
Broich, H., Mester, J., Seifriz, F., & Yue, Z. (2014). Statistical analysis for the First Bundesliga in the current soccer season. Prog App Math, 7(2), 1-8.
Collet, C. (2013). The possession game? A comparative analysis of ball retention and team success in European and international football, 2007-2010. J Sports Sci, 31(2), 123-136. https://doi.org/10.1080/02640414.2012.727455
Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software (Vol. 2). Springer. https://doi.org/10.1007/978-0-387-45283-8
Espitia-Escuer, M., & Garcia-CebriÁn, L. I. (2004). Measuring the efficiency of Spanish first-division soccer teams. J Sports Econ, 5(4), 329-346. https://doi.org/10.1177/1527002503258047
Espitia‐Escuer, M., & García‐CebriÁn, L. I. (2010). Measurement of the efficiency of football teams in the Champions League. Manag Decis Econ, 31(6), 373-386. https://doi.org/10.1002/mde.1491
Haas, D. J. (2003). Productive efficiency of English football teams-A data envelopment analysis approach. Manag Decis Econ, 24(5), 403-410. https://doi.org/10.1002/mde.1105
Haas, D., Kocher, M. G., & Sutter, M. (2004). Measuring efficiency of German football teams by data envelopment analysis. Cent Eu J Oper, 12(3), 251-268.
Harrop, K., & Nevill, A. (2014). Performance indicators that predict success in an English professional League One soccer team. Int J Perform Anal Spor, 14(3), 907-920. https://doi.org/10.1080/24748668.2014.11868767
Hwang, H. C. (2022). Analysis of the effect of game efficiency of Korean professional soccer club on season performance. Korean Society for Sport Management, 27(6), 55-67. https://doi.org/10.31308/KSSM.27.6.55
Hwang, H. C. (2024). Effect of pass and shoot efficiency: Analysis of Italian first league ranking. Journal of Human Sport and Exercise 19 (1), 139-147. https://doi.org/10.14198/jhse.2024.191.12
Hwang, H. (2025). A study on the efficiency difference between winning and losing teams in the quarterfinals and semifinals of the EURO 2024. Scientific Journal of Sport and Performance, 4(1), 111-118. https://doi.org/10.55860/XMUY8220
Lago-Ballesteros, J., & Lago-Peñas, C. (2010). Performance in team sports: Identifying the keys to success in soccer. J Hum Kinet, 25(1), 85-91. https://doi.org/10.2478/v10078-010-0035-0
Lago-Peñas, C., Lago-Ballesteros, J., & Rey, E. (2011). Differences in performance indicators between winning and losing teams in the UEFA Champions League. J Hum Kinet, 27(1), 135-146. https://doi.org/10.2478/v10078-011-0011-3
Liu, Hongyou, et al. "Match statistics related to winning in the group stage of 2014 Brazil FIFA World Cup." Journal of sports sciences 33.12 (2015): 1205-1213. https://doi.org/10.1080/02640414.2015.1022578
Oberstone, J. (2009). Differentiating the top English premier league football clubs from the rest of the pack: Identifying the keys to success. J Quant Anal Sports, 5(3), 10. https://doi.org/10.2202/1559-0410.1183
Rossi, G., Goossens, D., Di Tanna, G. L., & Addesa, F. (2019). Football team performance efficiency and effectiveness in a corruptive context: The Calciopoli case. Eur Sport Manag Quart, 19(5), 583-604. https://doi.org/10.1080/16184742.2018.1553056
Tenga, A., Ronglan, L.T., and Bahr, R. (2010). Measuring the effectiveness of offensive match-play in professional soccer. Eur J Sport Sci, 10(4), 269-277. https://doi.org/10.1080/17461390903515170