The {ffsimulator} package uses bootstrap resampling to run fantasy football season simulations supported by historical rankings and nflfastR data, calculating optimal lineups, and returning aggregated results. This can quickly run your league through hundreds of seasons and builds out the data to help you study:

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

This package is part of the ffverse family of R packages for fantasy football analysis.

Install the stable version of this package from CRAN:

install.packages("ffsimulator") # CRAN

Install the development version from either r-universe or GitHub:

install.packages("ffsimulator", repos = "https://ffverse.r-universe.dev")
# pak is recommended, see https://github.com/r-lib/pak
pak::pak("ffverse/ffsimulator")
# can also use remotes
remotes::install_github("ffverse/ffsimulator")

The development version has a separate documentation site here.

A season simulation can be run as follows:

library(ffsimulator)
library(ggplot2)
library(ggridges)

mfl_conn <- mfl_connect(season = 2021, league_id = 22627)

## OTHER PLATFORM CONNECTIONS MAY BE USED, FOR EXAMPLE:
# sleeper_conn <- sleeper_connect(season = 2021,  league_id = "652582284720971776") 
# flea_conn <- fleaflicker_connect(season = 2021, league_id = 312861) 
# espn_conn <- espn_connect(season = 2021, league_id = 899513)

mfl_sim <- ff_simulate(conn = mfl_conn, n_seasons = 100)

plot(mfl_sim)

Please also see the

• basic usage and
• custom simulations

vignettes for more detailed introductions.

The best places to get help on this package are:

• the nflverse discord (for both this package as well as anything R/NFL related)
• opening an issue

Many hands make light work! Here are some ways you can contribute to this project:

• You can open an issue if you’d like to request specific data or report a bug/error.
• You can sponsor this project with donations!
• If you’d like to contribute code, please check out the contribution guidelines.

The R code for this package is released as open source under the MIT License. Fantasy football and NFL data accessed by this package belong to their respective owners, and are governed by their terms of use.