Name: MLB Ballparks
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

MLB Ballparks

A dataset detailing the physical and environmental dimensions of Major League Baseball (MLB) ballparks (for the 2022 season). These ballpark dimensions are relevant when analysing or predicting outcomes, particularly hitting.

This dataset was put together as supplementary data for the Expected Home Runs Kaggle competition.

Content

team_name
ball_park
left_field - Distance from the home plate to 'the nearest fence or obstruction' in left field, measured in yards.
center_field - Distance from the home plate to 'the nearest fence or obstruction' in center field, measured in yards.
right_field - Distance from the home plate to 'the nearest fence or obstruction' in right field, measured in yards.
min_wall_height - Minimum wall height, measured in yards.
max_wall_height - Maximum wall height, measured in yards.
hr_park_effects - Total "park effects" on home run rate, with 100 being a baseline average.
extra_distance - Total extra distance that a particular ballpark adds to hits.
avg_temp - Average temperature at each ballpark, measured in Fahrenheit.
elevation - Elevation height above sea level, measured in feet.
roof - Percentage of all games that are played with roof cover on.
daytime - Percentage of all games that are played during the day.

Acknowledgements

Data sourced from the Baseball Savant Park Factors page.

Tables

Ballparks

@kaggle.paulrjohnson_mlb_ballparks.ballparks

11.42 kB
30 rows
13 columns

CREATE TABLE ballparks (
  "team_name" VARCHAR,
  "ballpark" VARCHAR,
  "left_field" BIGINT,
  "center_field" BIGINT,
  "right_field" BIGINT,
  "min_wall_height" DOUBLE,
  "max_wall_height" BIGINT,
  "hr_park_effects" BIGINT,
  "extra_distance" DOUBLE,
  "avg_temp" DOUBLE,
  "elevation" BIGINT,
  "roof" DOUBLE,
  "daytime" DOUBLE
);