🏌️ The Masters Scorecard
A Data-Driven Analysis of The 2025 Masters Tournament
This project combines real-time data integration, statistical modeling, and interactive dashboards to analyze and predict player performance at The Masters 2025.
🔍 Project Overview
I developed a custom scoring model—the Masters Scorecard—that ranks players using key metrics like:
- Strokes Gained (Total & by Category)
- Driving Distance & Accuracy
- Birdies per Round
- Field Strength & Composition
These metrics were weighted and combined to create a predictive performance tier system.
🧠 Tools & Technologies
- Python
For data cleaning, model training, and round score predictions using pandas, scikit-learn, and SQLAlchemy. - SQL
Built queries to calculate individual score components and join live + historical data in a MySQL database. - Power BI
Designed interactive dashboards to visualize player profiles, scorecard rankings, and the live leaderboard.
📊 Featured Visuals
- Masters Scorecard Dashboard
Player rankings based on custom weighted scoring. - Player Profile Viewer
Performance archetypes based on skill set and stats. - Final Leaderboard Tracker
Live updates with projected and actual scoring.
📝 Sample Code & Data
You’ll find snippets below highlighting key parts of the backend:
- Python code for round score prediction
SQL snippets for metric calculation & data joins
📊 Featured Visuals
- Masters Scorecard Dashboard
Player rankings based on custom weighted scoring. - Player Profile Viewer
Performance archetypes based on skill set and stats. - Final Leaderboard Tracker
Live updates with projected and actual scoring. - Read the Full Story on My Blog →
A breakdown of my process, predictions, and the biggest surprises from Masters Week—told through data, visuals, and insights.
