Helps access various Fantasy Football APIs (currently MFL, Sleeper, Fleaflicker, and ESPN) by handling authentication/rate-limiting/caching, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.

The ffsimulator package helps simulate fantasy football seasons. By leveraging historical weekly finishes, current expert consensus rankings, and your league’s data, this package can quickly run your league through hundreds of seasons and may help you study:

• expected season finishes and range of outcomes
• player contributions to season wins
• effects of potential trades
• and more!

Helps scrape FantasyPros.com by handling rate-limiting/caching/parsing and returning tidy dataframes which can be easily connected to other data sources.

Expected Fantasy Points are a measure of player opportunities in fantasy football - essentially aiming to quantify how many points the average player would score given a specific situation and passing/rushing/receiving attempt.

ffopportunity builds a dataframe of Expected Fantasy Points by preprocessing and applying an xgboost model to nflverse play-by-play data. It also includes utilities to download precomputed data from automated GitHub releases.