NFL Fantasy Football

A suite of tools for gathering, processing, and predicting NFL player statistics. The tools are designed to automate the collection of player stats, process and analyze them, and then train an LSTM (Long Short-Term Memory) model for fantasy football projections.

Table of Contents

• NFL Stats Crawler
• NFL Stats Processor
• NFL Stats Projector
• Requirements
• Installation

NFL Stats Crawler

The NFL Stats Crawler is a web scraper built using the Scrapy framework. It is designed to collect advanced statistics for NFL players from the FantasyPros website. This tool automates the process of gathering key offensive statistics for players in the following positions:

• Quarterbacks (QB): Passing yards, touchdowns, interceptions, rushing yards, rushing touchdowns, etc.
• Running Backs (RB): Rushing yards, rushing touchdowns, receiving yards, receiving touchdowns, etc.
• Wide Receivers (WR): Receptions, receiving yards, receiving touchdowns, rushing yards, etc.
• Tight Ends (TE): Receptions, receiving yards, receiving touchdowns, etc.
• Additional Info: Found here.

NFL Stats Processor

The NFL Stats Processor is a Python script designed to load, process, and analyze NFL player statistics over multiple seasons. The tool supports multiple offensive positions—Quarterbacks, Running Backs, Wide Receivers, and Tight Ends—aggregating data from various seasons to help identify trends and evaluate player performance.

• Additional Info: Found here.

NFL Stats Projector

The NFL Stats Projector is a Python script designed to fetch NFL player statistics and train/evaluate an LSTM (Long Short-Term Memory) model for fantasy football projections. The model is trained on historical data and can predict future fantasy points based on a player's previous performances.

• Additional Info: Found here.

Requirements

Ensure the packages and libraries listed in the requirements.txt are installed to run the tools. Several key dependencies include:

• Scrapy: Web scraping framework for collecting player stats from websites like FantasyPros.
• Scikit-learn: Machine learning utilities for model evaluation.
• TensorFlow: For building and training the LSTM model.
• Keras: High-level neural networks API for model construction and training.

Installation

To install the necessary dependencies, follow these steps:

1. Clone the repository:

   git clone https://github.com/your-username/NFL-stat-projections.git

2. Create a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # For Linux/macOS
   venv\Scripts\activate  # For Windows

3. Install the required packages:

   pip install -r requirements.txt

4. Run the tools:

   • For scraping player stats:

     python .\data_ingestion\web_crawler.py

   • For processing player stats:

     python .\data_processing\stat_processor.py

   • For training and projecting fantasy points:

     python .\data_modeling\model_builder.py

Once installed, you can start gathering, processing, and predicting NFL player statistics to optimize your fantasy football strategy.