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Get players with best scoring average.

Usage

scoring_avg_leaders(
  year = NULL,
  min_events = 5,
  top_n = 10,
  file_path = NULL,
  data = NULL
)

Arguments

year

Optional year filter

min_events

Minimum events played

top_n

Number of players to show

file_path

Path to data file (.rds or .parquet)

data

Optional leaderboard data frame. Use this instead of `file_path` when the data is already in memory.

Value

Tibble with scoring average leaders

Examples

if (FALSE) { # \dontrun{
season <- load_leaderboard(2025)
scoring_avg_leaders(data = season)
} # }