This repository contains R scripts and data files used for advanced fantasy football analysis. It's part of the Fantasy Football Analytics platform, which focuses on applying statistical modeling and data-driven insights to enhance decision-making in fantasy football.
- Player Projections: Forecasts for player performance using historical data.
- Lineup Optimization: Optimize lineups based on projected points and constraints like salary caps or league rules.
- Draft Tools: Tools for making informed draft picks based on statistical analysis.
To get started, you need to install the required R packages.
You can do this by running the following command in R:
install.packages(c("reshape", "MASS", "psych", "Rglpk", "XML", "data.table"), dependencies=TRUE)Additionally, make sure you have R installed on your machine for running and editing the scripts.
The repository uses various data sources such as historical player stats, team performance, and projections to build models and tools that help fantasy football managers make informed decisions.
To use the scripts: Clone the repository:
git clone https://github.com/FantasyFootballAnalytics/FantasyFootballAnalyticsR.gitFantasy Football Analytics is a platform that leverages statistics, data analysis, and R programming to enhance fantasy football strategies and performance.
The GitHub repository hosts R scripts and data sets used to conduct these analyses, aligning with the methodologies outlined on the website.
You can learn more by visiting http://fantasyfootballanalytics.net.
- Provides tools and resources for data-driven decision-making in fantasy football.
- Utilizes the powerful R language, ideal for statistical analysis.
- Open access to the code allows for customization and deeper learning.
The ffanalytics package—which facilitates scraping fantasy football projections and customizing them to your league settings—is hosted in the following repo: https://github.com/FantasyFootballAnalytics/ffanalytics