metrics: *Metrics Functions Overview*

In baseballr: Acquiring and Analyzing Baseball Data

Metrics Functions Overview

Description

• fip_plus(): Calculate FIP and related metrics for any set of data.

• woba_plus(): Calculate wOBA and related metrics for any set of data.

• team_consistency(): Calculate Team-level Consistency.

• label_statcast_imputed_data(): Label Statcast data as imputed.

• run_expectancy_code(): Generate run expectancy and related measures from Baseball Savant data.

• linear_weights_savant(): Generate linear weight values for events using Baseball Savant data.

Details

Calculate Team-level Consistency

  team_consistency(year=2015)

Calculate FIP and related metrics for any set of data

  fips_plus(df)

Calculate wOBA and related metrics for any set of data

  woba_plus(df)

Label Statcast data as imputed

  statcast_df <- scrape_statcast_savant("2017-05-01", "2017-05-02")
  sc_df <- label_statcast_imputed_data(statcast_df)
  mean(sc_df$imputed)

Generate run expectancy and related measures from Baseball Savant data

  df <- statcast_search(start_date = "2016-04-06", end_date = "2016-04-15", 
                        playerid = 621043, player_type = 'batter') 
  run_expectancy_code(df, level = "plate appearances")

Generate linear weight values for events using Baseball Savant data

  df <- statcast_search(start_date = "2016-04-06", end_date = "2016-04-15", 
                        playerid = 621043, player_type = 'batter') 
  df <- run_expectancy_code(df, level = "plate appearances")
  linear_weights_savant(df, level = "plate appearance")

baseballr documentation built on Aug. 27, 2026, 1:07 a.m.