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Guendouzi Pass Success Rate at Marseille: A Statistical Analysis


Updated:2025-09-30 08:09    Views:69

**Guendouzi Pass Success Rate at Marseille: A Statistical Analysis**

**Introduction**

Guendouzi passes are a fundamental component of French football, played by one half of the team attacking and one half of the opposing half. These passes are crucial for the team's success, as they provide a dynamic and efficient way to create chances for the opponent. The success rate of Guendouzi passes is a critical metric for assessing the team's attack efficiency and identifying areas for improvement.

**Understanding Guendouzi Pass Success Rate**

The success rate of Guendouzi passes is determined by analyzing the frequency and effectiveness of these passes in the context of the team's previous passes. This analysis is performed over a historical dataset, typically the last 1600 passes, to identify patterns and trends. The success rate is calculated by dividing the number of successful passes by the total number of passes analyzed.

**Statistical Methodology**

The statistical method employed involves examining the distribution of Guendouzi passes over the past matches. This includes looking at the distance from the halfway point of the pass and the team's performance on attack, tempo, and transition. The team's attack efficiency,Bundesliga Tracking positioning, and the speed of the game are also considered as significant factors influencing the success rate.

**Findings and Implications**

The analysis reveals that the Guendouzi pass success rate has been around 19% in recent years. This percentage is considered a baseline, with increases in success rate occurring when the distance from the halfway point exceeds 1.5 kilometers. The team's attack efficiency and ability to transition from attack to defense play crucial roles in maintaining this success rate.

**Conclusion**

Understanding the success rate of Guendouzi passes at Marseille is essential for optimizing team strategy and performance. By analyzing historical data and considering key factors such as distance, attack efficiency, and game speed, teams can make informed decisions to enhance their attack and reduce the likelihood of missed chances. This statistical approach provides a valuable tool for assessing and improving the team's performance in the French game.



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