ffs_adp_outcomes | R Documentation |
The backbone of the ffsimulator resampling process is coming up with a population of weekly outcomes for every preseason positional rank. This function creates that dataframe by connecting historical FantasyPros.com rankings to nflfastR-based scoring data, as created by ffscrapr::ff_scoringhistory()
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ffs_adp_outcomes( scoring_history, gp_model = "simple", pos_filter = c("QB", "RB", "WR", "TE") )
scoring_history |
a scoring history table as created by |
gp_model |
either "simple" or "none" - simple uses the average games played per season for each position/adp combination, none assumes every game is played. |
pos_filter |
a character vector: filter the positions returned to these specific positions, default: c("QB","RB","WR","TE) |
a dataframe with position, rank, probability of games played, and a corresponding nested list per row of all week score outcomes.
fp_rankings_history
for the included historical rankings
fp_injury_table
for the historical injury table
vignette("custom")
for usage details.
# cached data scoring_history <- .ffs_cache("mfl_scoring_history.rds") ffs_adp_outcomes(scoring_history, gp_model = "simple") ffs_adp_outcomes(scoring_history, gp_model = "none")
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