Abstract
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.
Highlights
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
A reasonable explanation of the sudden success of Union Berlin could be their specific style of playing, where flexible actions of defensive player groups with the ball suddenly break into periods of stereotype defensive action patterns
The threshold evaluation of the simulated interaction between attack and defense for the three performance indicators, ball contact (Figure 2), ball possession (Figure 3), and passes (Figure 4), show a high dispersion demonstrated by the standard deviation
Summary
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. The interaction simulation between attack and defense shows optimal flexibility rates for both tactical groups. The simulation-based position data analysis shows successful strategic behavior patterns for attack and defense. The key to success is to find the perfect mixture of tactical patterns and sudden breaks freedom This balance of strategies, depends on the behavior of the opponent team and is not relatively easy to estimate by just watching games (Memmert & Raabe, 2018 [1]). To shed light on the perfect balance of professional football flexibility, we provide and test a simulation framework based on big data (positional data of the players and the ball)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
