Courtside Catalyst
Built advanced analytics database to improve UMD basketball strategies supporting NCAA tournament success
Role
Database Developer
Timeframe
March 2024
Team Size
4 developers and analysts
Tools & Technologies
Key Impact
Identified top-performing players and optimized game strategies for NCAA tournament success
Context
UMD Men's Basketball needed deeper insights for performance and recruitment, with data being fragmented and underutilized.
Problem
Data was fragmented and underutilized, limiting strategic decisions for game planning and player recruitment.
Approach
Designed comprehensive ER Diagrams for basketball data modeling
Built relational schemas optimized for performance analytics
Executed advanced SQL queries to analyze player and team performance
Created reporting system for coaching staff and recruitment team
Implemented data validation and quality assurance processes
Outcome
Identified top-performing players through statistical analysis
Optimized game strategies based on data-driven insights
Supported NCAA tournament success with actionable analytics
Improved recruitment targeting through performance metrics
Next Steps
Extend system for real-time analytics during games
Integration with wearable IoT player tracking devices
Expand analytics to include opponent scouting and strategy