Author(s)

Daniel Memmert¹, Jonas Imkamp¹, Jürgen Perl²

¹German University of Sport Science, Cologne, Germany.
²University of Mainz, Mainz, Germany.

Introduction: The key to success is finding the perfect mixture of tactical patterns and sudden breaks of them, which depends on the behavior of the opponent team and is not easy to estimate by just watching matches. According to the specific tactical team behavior of “attack vs. defense” professional football matches are investigated based on a simulation approach, professional football matches are investigated according to the specific tactical team behavior of “attack vs. defense.” Methods: The formation patterns of all the sample games are categorized by SOCCER© for defense and attack. Monte Carlo-Simulation can evaluate the mathematical, optimal strategy. The interaction simulation between attack and defense shows optimal flexibility rates for both tactical groups. Approach: A simulation approach based on 40 position data sets of the 2014/15 German Bundesliga has been conducted to analyze and optimize such strategic team behavior in professional soccer. Results: The results revealed that both attack and defense have optimal planning rates to be more successful. The more complex the success indicator, the more successful attacking player groups get. The results also show that defensive player groups always succeed in attacking groups below a specific planning rate value. Conclusion: Groups are always succeeding. The simulation-based position data analysis shows successful strategic behavior patterns for attack and defense. Attacking player groups need very high flexibility to be successful (stay in ball possession). In contrast, defensive player groups only need to be below a defined flexibility rate to be guaranteed more success.

Strategy, KPI, Offensive and Defensive Dynamics, Ball Contact, Ball Possession, Passes

Memmert, D. , Imkamp, J. and Perl, J. (2021) Flexible Defense Succeeds Creative Attacks!—A Simulation Approach Based on Position Data in Professional Football. Journal of Software Engineering and Applications, 14, 493-504. doi: 10.4236/jsea.2021.149029.