This project analyzes tennis match data from the 1990s to 2024 to understand trends in performance metrics and their impact on match outcomes. The analysis focuses on various statistics, including serve efficiency, break points saved, rank influence on match outcomes, and others. The goal is to uncover significant insights into the evolution of tennis over the decades.
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Serve Efficiency Analysis: Examines the number of aces and first serve points won across different decades.
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Break Points and Mental Toughness: Analyzes the percentage of break points saved by winners and losers across decades.
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Rank Influence on Match Outcome: Investigates the rank disparity between winners and losers and the frequency of upsets.
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Statistical Tests: Utilizes ANOVA and Kruskal-Wallis H test to determine significant differences across decades.
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Data Preparation: The cleaned dataset is available in CSV, or Pickle format.
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Analysis: Modify the notebooks or scripts to customize the analysis according to your data and research questions.
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Visualization: Generate visualizations to support your findings and insights. Power BI report is available in the files of the repository.
Key findings include:
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Improvements in serve efficiency over the decades.
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Increased mental toughness as evidenced by better break point saving percentages.
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Trends in rank influence on match outcomes, indicating a more competitive field.
- Available as a file in the repository. Download the Power BI Desktop software and open it there.
- Google Slides Presentation: View Presentation
For any questions or inquiries, please contact Alejandro Figueroa.
Feel free to customize this template further to fit your project's specifics and add any additional information as needed.