Started: March 10, 2024

Net Metrics

in progress

PythonReactPostgreSQLTensorFlowD3.js

Project Overview

Net Metrics is an innovative analytics platform designed to revolutionize volleyball player development through comprehensive data tracking and analysis. By combining video analysis, statistical modeling, and machine learning, this platform provides coaches and players with actionable insights to improve performance.

Core Features

Performance Tracking

Attack Efficiency: Track hitting percentage, kill rate, and attack angles
Serve Analysis: Monitor serve velocity, placement accuracy, and ace percentage
Defensive Metrics: Measure dig success rate, coverage area, and reaction times
Setting Precision: Analyze set location accuracy and tempo variations

Video Integration

Synchronized video playback with statistical events
Automatic highlight reel generation for key plays
Frame-by-frame biomechanical analysis
Multi-angle camera support for comprehensive coverage

Player Development Tools

Personalized training recommendations based on performance gaps
Skill progression tracking over time
Comparison with position-specific benchmarks
Injury risk assessment through workload monitoring

Technical Architecture

The platform leverages modern technologies to deliver real-time insights:

Data Collection

Custom computer vision algorithms for automatic event detection
Integration with Catapult and VERT wearable sensors
Manual tagging interface for detailed play-by-play analysis

Analytics Engine

PostgreSQL for structured data storage
Python-based statistical analysis pipeline
TensorFlow models for predictive analytics
Real-time data processing for live match insights

User Interface

React-based responsive web application
D3.js for interactive data visualizations
Mobile app for on-court data entry
Coach dashboard with team-wide analytics

Implementation Challenges

Challenge 1: Real-time Video Processing

Processing multiple camera feeds in real-time while maintaining accuracy required optimizing our computer vision algorithms and implementing edge computing solutions.

Challenge 2: Data Standardization

Creating a unified data model that accommodates various volleyball levels (youth, high school, college, professional) and different scoring systems.

Challenge 3: User Experience

Designing an interface that presents complex analytics in an intuitive way for coaches who may not have extensive technical backgrounds.

Current Progress

✅ Core database schema and API development complete
✅ Basic video analysis features implemented
✅ Initial machine learning models trained
🔄 Working on real-time match analysis features
📋 Planning mobile app development phase