ffs_optimise_lineups: Optimise Lineups

In ffsimulator: Simulate Fantasy Football Seasons

Optimise Lineups

Description

Calculates optimal lineups for all franchises in the dataframe based on a table of lineup constraints.

Usage

ffs_optimise_lineups(
  roster_scores,
  lineup_constraints,
  lineup_efficiency_mean = 0.775,
  lineup_efficiency_sd = 0.05,
  best_ball = FALSE,
  pos_filter = c("QB", "RB", "WR", "TE")
)

ffs_optimize_lineups(
  roster_scores,
  lineup_constraints,
  lineup_efficiency_mean = 0.775,
  lineup_efficiency_sd = 0.05,
  best_ball = FALSE,
  pos_filter = c("QB", "RB", "WR", "TE")
)

Arguments

roster_scores	a dataframe as generated by ffs_score_rosters() - should contain columns like: projected_score, pos, and player_id
lineup_constraints	a dataframe as generated by ffscrapr::ff_starter_positions() - should contain columns pos, min, max, and offense_starters
lineup_efficiency_mean	the average lineup efficiency to use, defaults to 0.775
lineup_efficiency_sd	the standard deviation of lineup efficiency, defaults to 0.05
best_ball	a logical: FALSE will apply a lineup efficiency factor and TRUE uses optimal scores as actual scores, default = FALSE
pos_filter	a character vector specifying which positions are eligible - defaults to c("QB","RB","WR","TE)

Details

Lineup efficiency is the percentage of optimal/best-ball score that is used as the actual score - by default, the lineup efficiency for a team in non-best-ball settings is normally distributed around a mean of 77.5% and a standard deviation of 5%.

Value

a dataframe of what each team scored for each week

See Also

vignette("custom") for example usage

Examples

# cached examples
roster_scores <- .ffs_cache("roster_scores.rds")
lineup_constraints <- .ffs_cache("mfl_lineup_constraints.rds")

ffs_optimise_lineups(roster_scores, lineup_constraints)

ffsimulator documentation built on Feb. 16, 2023, 5:37 p.m.