Scout Ops Extractor

Overview

Scout Ops Extractor is a desktop application that retrieves, processes, and combines scouting data from multiple sources including The Blue Alliance (TBA) and Statbotics. It provides a unified interface for accessing competition data, match predictions, and team statistics to support strategic decision-making during FRC competitions.

Key Features

Data Collection

• Retrieve event data from The Blue Alliance API
• Import match predictions from Statbotics
• Combine data sources into unified datasets
• Export to CSV for easy analysis

Match Analysis

• Generate detailed match predictions
• Compare alliance capabilities
• Calculate match winning probabilities
• Extract scoring breakdowns

Team Insights

• Compile team performance statistics
• Calculate OPR (Offensive Power Rating) and EPA (Estimated Prediction Accuracy)
• Generate team ranking reports
• Compare team capabilities across matches

System Requirements

• Windows, macOS, or Linux operating system
• Python 3.7+ with PyQt5 installed
• Internet connection for API access
• Minimum 2GB RAM
• 100MB available storage space

Getting Started

pip install PyQt5 requests

python scout_ops_extractor.py

Documentation Sections

• Installation Guide - Step-by-step installation instructions
• User Guide - Detailed usage instructions
• API Integration - Information about the APIs used
• Troubleshooting - Common issues and solutions

Architecture Overview

Scout Ops Extractor uses a modular architecture with several key components:

1. API Clients - Connect to The Blue Alliance and Statbotics
2. UI Interface - User-friendly PyQt5 interface for data access
3. Data Processors - Combine and transform data for analysis
4. Export Modules - Generate CSV and JSON output files

The application uses a multi-threaded approach to prevent UI freezing during data retrieval operations, with clear separation between the data processing and presentation layers.

Sample Output

After processing, Scout Ops Extractor generates several output files:

• Event data CSV files with team lists, match schedules, and rankings
• Match prediction CSV files with alliance comparisons
• Team insights CSV files with performance metrics
• Combined JSON files with comprehensive match data

These outputs integrate directly with spreadsheet applications and the PyIntel Scoutz analysis tool for further processing.