F1-Race-Performance-Strategy-Analyst-using-Python

This project analyzes real Formula 1 race telemetry and timing data using FastF1, Pandas, Matplotlib, and Seaborn. The project performs: - Driver performance analysis - Tyre strategy analysis - Stint analysis - Lap consistency analysis - Tyre degradation tracking - Weather analysis - Race pace visualization

Technologies Used

• Python
• FastF1
• Pandas
• Matplotlib
• Seaborn

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Features

Driver Performance Analysis

• Average lap times
• Fastest laps
• Slowest laps
• Total laps completed

Tyre Strategy Analysis

• Tyre compound usage
• Stint duration
• Pit-stop estimation

Consistency Analysis

• Standard deviation
• Coefficient of variation
• Pace stability

Tyre Degradation Analysis

• Lap-time increase within stints
• Tyre wear tracking

Weather Analysis

• Air temperature
• Track temperature

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Sample Visualizations

• Lap time evolution graph
• Tyre compound comparison
• Consistency error bars
• Tyre degradation plots

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Installation

pip install -r requirements.txt

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Run Project

python F1.py

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Project Structure

F1-Race-Performance-Analyzer/
│
├── F1.py
├── README.md
├── requirements.txt
├── images/
└── outputs/

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Future Improvements

• Machine learning race prediction
• Live telemetry dashboard
• Power BI integration
• Driver clustering analysis
• Pit-stop optimization models

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Author

Pranav More