confpickem - Yahoo NFL Confidence Pick'em Analyzer

A Python package for analyzing and optimizing picks for Yahoo NFL Confidence Pick'em pools. This package provides tools for:

• Scraping Yahoo Pick'em league data
• Analyzing pick distributions and trends
• Simulating outcomes and optimizing picks
• Evaluating different picking strategies

Installation

You can install the package using pip:

pip install confpickem

Quick Start

from confpickem import YahooPickEm, ConfidencePickEmSimulator, run_simulation

# Initialize scraper with your league info
yahoo = YahooPickEm(
    week=1,
    league_id=YOUR_LEAGUE_ID,
    cookies_file='cookies.txt'
)

# Run simulation with actual picks
simulator, stats = run_simulation(yahoo)

# Print expected points and win percentages
print("\nExpected Points by Player:")
print(stats['expected_points'])
print("\nWin Percentages:")
print(stats['win_pct'])

Features

Yahoo Data Scraping

• Scrape pick distributions and crowd confidence levels
• Track actual picks and results from your league
• Cache responses to avoid excessive requests

Simulation and Analysis

• Monte Carlo simulation of game outcomes
• Player skill modeling and analysis
• Pick optimization algorithms
• Risk/reward analysis

Strategy Optimization

• Evaluate different picking strategies
• Optimize confidence point assignments
• Analyze pick correlations and game importance

Dependencies

• Python ≥ 3.8
• requests
• pandas
• numpy
• beautifulsoup4
• scipy

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.