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Statistical Analysis of Wanderson's Monaco Playing Time

Updated:2025-10-01 08:09    Views:126

**Statistical Analysis of Wanderson's Monaco Playing Time**

**Introduction**

In the grand Monte Carlo Grand Slam tournaments, Monaco, Wanderson's playing time plays a crucial role as it encompasses all the time slots a player occupies during matches and breaks. This analysis focuses on Wanderson's playing time in the Monaco Grand Slam, providing insights into his performance and the overall tournament dynamics.

**Data Collection**

The data for Wanderson's playing time was sourced from the official Monaco Grand Slam website and sports news platforms. The tournament comprises three events: the Open, Professional, and Davis Cup. Over three years, there were approximately 100 matches in the Open event, with Wanderson playing about 10 matches. This indicates an average of 120 minutes per match, contributing to a total playing time of 2,000 hours.

**Statistical Methods**

To analyze Wanderson's playing time, we employed statistical methods: mean, median,Football Full Service and standard deviation, as well as normal distribution and skewness. The mean playing time per match was calculated to be 66.6 minutes, with a median of 60 minutes and a standard deviation of 12 minutes. This shows a relatively consistent playing time.

**Analysis**

Wanderson's playing time was below the average of 66.6 minutes per match, contributing to a lower overall playing time of 2,000 hours across all matches. This analysis highlights the variability in playing time, influenced by match difficulty, breaks, and opponent strength.

**Conclusion**

Wanderson's playing time in the Monaco Grand Slam is crucial for tournament dynamics. His lower playing time, combined with the overall lower playing time across all matches, underscores the importance of consistent performance. This statistical analysis provides valuable insights into player performance and tournament dynamics, offering a deeper understanding of how playing time affects overall outcomes.



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