Type: | Package |
Title: | Introduction to Sports Analytics using R (ISAR) Data |
Version: | 1.0.0 |
Maintainer: | Ryan Elmore <Ryan.Elmore@du.edu> |
Description: | We provide data sets used in the textbook "Introduction to Sports Analytics using R" by Elmore and Urbaczweski (2025). |
License: | MIT + file LICENSE |
Encoding: | UTF-8 |
LazyData: | true |
Depends: | R (≥ 3.5) |
RoxygenNote: | 7.3.2 |
URL: | https://github.com/rtelmore/ISAR |
BugReports: | https://github.com/rtelmore/ISAR/issues |
NeedsCompilation: | no |
Packaged: | 2025-07-21 17:27:52 UTC; ryanelmore |
Author: | Ryan Elmore [cre, aut] |
Repository: | CRAN |
Date/Publication: | 2025-07-21 17:50:02 UTC |
2021 NHL Colorado Avalanche Roster (from NHL's API)
Description
A dataset containing the NHL's Avalanche Roster
Usage
avs_roster_2021
Format
A data frame with 28 rows and 8 variables:
- jersey_number
player jersey number
- person_id
player ID
- person_full_name
player full name
- person_link
API link to player data
- position_code
position abbreviation
- position_name
position name
- position_type
position type
- position_abbreviation
another position abbreviation
Source
2022-23 NHL Colorado Avalanche Roster (from NHL's API)
Description
A dataset containing the NHL's Avalanche Roster
Usage
avs_roster_2022
Format
A data frame with 24 rows and 8 variables:
- jersey_number
player jersey number
- person_id
player ID
- person_full_name
player full name
- person_link
API link to player data
- position_code
position abbreviation
- position_name
position name
- position_type
position type
- position_abbreviation
another position abbreviation
Source
NHL's Colorado Avalanche Player Statistics
Description
A dataset containing the statistics for all Colorado Avalanche players on the 2021-2 roster
Usage
avs_stats_2021
Format
A data frame with 196 rows and 50 variables:
- person_id
NHL API Player ID
- person_full_name
Player full name
- season
Season
- season_start
Season start
- stat_assists
Assists
- stat_goals
Goals
- stat_pim
Penalty minutes
- stat_games
Games played
- stat_penalty_minutes
Penalty minutes
- stat_plus_minus
Plus-minus value
- stat_points
Points
- stat_power_play_goals
Power play goals
- stat_game_winning_goals
Game winning goals
- stat_short_handed_goals
Short handed goals
- stat_shots
Shots
- stat_shot_pct
Shot percentage
- stat_time_on_ice
Time on ice
- stat_hits
Hits
- stat_power_play_points
Power play points
- stat_power_play_time_on_ice
Power play time on ice
- stat_even_time_on_ice
Even play time on ice
- stat_face_off_pct
Face off percentage
- stat_over_time_goals
Overtime goals
- stat_short_handed_points
Short handed points
- stat_short_handed_time_on_ice
Short handed time on ice
- stat_blocked
Blocks
- stat_shifts
Shifts
- stat_save_percentage
Save percentage
- stat_goal_against_average
Goals against average
- stat_ot
OT
- stat_shutouts
Shutouts
- stat_ties
Ties
- stat_wins
Wins
- stat_losses
Losses
- stat_saves
Saves
- stat_power_play_saves
Power play saves
- stat_short_handed_saves
Short handed saves
- stat_even_saves
Even play saves
- stat_short_handed_shots
Short handed shots
- stat_even_shots
Even play shots
- stat_power_play_shots
Power play shots
- stat_games_started
Games started
- stat_shots_against
Shots against
- stat_goals_against
Goals against
- stat_power_play_save_percentage
Power play save percentage
- stat_short_handed_save_percentage
Short handed save percentage
- stat_even_strength_save_percentage
Even strength save percentage
- team_name
Team name
- team_link
Team link
- team_id
Team ID
Source
NHL's Colorado Avalanche Player Statistics
Description
A dataset containing the statistics for all Colorado Avalanche players on the 2022-23 roster
Usage
avs_stats_2022
Format
A data frame with 162 rows and 50 variables:
- person_id
NHL API Player ID
- person_full_name
Player full name
- season
Season
- season_start
Season start
- stat_assists
Assists
- stat_goals
Goals
- stat_pim
Penalty minutes
- stat_games
Games played
- stat_penalty_minutes
Penalty minutes
- stat_plus_minus
Plus-minus value
- stat_points
Points
- stat_power_play_goals
Power play goals
- stat_game_winning_goals
Game winning goals
- stat_short_handed_goals
Short handed goals
- stat_shots
Shots
- stat_shot_pct
Shot percentage
- stat_time_on_ice
Time on ice
- stat_hits
Hits
- stat_power_play_points
Power play points
- stat_power_play_time_on_ice
Power play time on ice
- stat_even_time_on_ice
Even play time on ice
- stat_face_off_pct
Face off percentage
- stat_over_time_goals
Overtime goals
- stat_short_handed_points
Short handed points
- stat_short_handed_time_on_ice
Short handed time on ice
- stat_blocked
Blocks
- stat_shifts
Shifts
- stat_save_percentage
Save percentage
- stat_goal_against_average
Goals against average
- stat_ot
OT
- stat_shutouts
Shutouts
- stat_ties
Ties
- stat_wins
Wins
- stat_losses
Losses
- stat_saves
Saves
- stat_power_play_saves
Power play saves
- stat_short_handed_saves
Short handed saves
- stat_even_saves
Even play saves
- stat_short_handed_shots
Short handed shots
- stat_even_shots
Even play shots
- stat_power_play_shots
Power play shots
- stat_games_started
Games started
- stat_shots_against
Shots against
- stat_goals_against
Goals against
- stat_power_play_save_percentage
Power play save percentage
- stat_short_handed_save_percentage
Short handed save percentage
- stat_even_strength_save_percentage
Even strength save percentage
- team_name
Team name
- team_link
Team link
- team_id
Team ID
Source
Draftkings Showdown Game in NHL (Edmonton Oilers versus Colorado Avalanche)
Description
A dataset containing the Draftkings salary information for Game 1 of the 2022 NHL Playoffs between the Edmonton Oilers versus Colorado Avalanche.
Usage
dk_edm_col
Format
A data frame with 68 rows and 9 variables:
- position
real-life roster position of the player
- name_id
player name and Draftkings ID
- name
player name
- id
Draftkings player ID
- roster_position
Draftkings roster position
- salary
player salary
- game_info
game information for the players
- team_abbrev
player team as an abbreviation
- avg_points_per_game
player average Draftkings points per game
Source
Draftkings Contest Page
Draftkings Showdown Game (Clippers vs. Mavericks)
Description
A dataset containing the Draftkings salary information for Game 3 of the 2021 NBA Playoffs between the Los Angeles Clippers and the Dallas Mavericks.
Usage
dk_lac_dal
Format
A data frame with 68 rows and 9 variables:
- position
real-life roster position of the player
- name_id
player name and Draftkings ID
- name
player name
- id
Draftkings player ID
- roster_position
Draftkings roster position
- salary
player salary
- game_info
game information for the players
- team_abbrev
player team as an abbreviation
- avg_points_per_game
player average Draftkings points per game
Source
Draftkings Contest Page
Draftkings Showdown Game (Grizzlies vs. Jazz)
Description
A dataset containing the Draftkings salary information for Game 4 of the 2021 NBA Playoffs between the Memphis Grizzlies and Utah Jazz.
Usage
dk_mem_utah
Format
A data frame with 68 rows and 9 variables:
- position
real-life roster position of the player
- name_id
player name and Draftkings ID
- name
player name
- id
Draftkings player ID
- roster_position
Draftkings roster position
- salary
player salary
- game_info
game information for the players
- team_abbrev
player team as an abbreviation
- avg_points_per_game
player average Draftkings points per game
Source
Draftkings Contest Page
Draftkings Showdown Game in NHL (New York Rangers versus Carolina Hurricanes)
Description
A dataset containing the Draftkings salary information for Game 7 of the 2022 NHL Playoffs between the New York Rangers and Carolina Hurricanes.
Usage
dk_nyr_car
Format
A data frame with 68 rows and 9 variables:
- position
real-life roster position of the player
- name_id
player name and Draftkings ID
- name
player name
- id
Draftkings player ID
- roster_position
Draftkings roster position
- salary
player salary
- game_info
game information for the players
- team_abbrev
player team as an abbreviation
- avg_points_per_game
player average Draftkings points per game
Source
Draftkings Contest Page
2021-2022 English Premier League Goalkeeper Statistics
Description
A dataset containing individual goalkeeper statistics for the English Premier League's 2021 - 2022 season
Usage
epl_gk_stats_2022
Format
A data frame with 314 rows and 13 variables:
- player
Player name
- nation
Player home country
- pos
Player position
- squad
Player team
- age
Age of player
- born
Birth year of player
- min_p90
Total minutes played in the season per ninety minutes
- goals
Goals scored against player
- pk_allowed
Penalty kick goals scored against player
- free_kick_goals
Free kick goals scored against player
- corner_kick_goals
Corner kick goals scored against player
- own_goals_against
Own goals scored against player
- post_shot_xG
Post-shot expected goals
- post_shot_xG_per_shot_on_target
Post-shot expected goals per shot on target
- post_shot_xG_minus_goals
Post-shot expected goals minus goals per shot on target
- post_shot_xG_minus_goals_p90
Post-shot expected goals minus goals per shot on target per ninety minutes
- launch_completed
Passes longer than 40 yards (launch) completed
- launch_attempt
Passes longer than 40 yards attempted
- launch_completion_percent
Passes longer than 40 yards (launch) completion percentage
- pass_attempt
Passes attempted
- throw_attempt
Throws attempted
- pass_launch_percent
Percentage of passes launched
- avg_pass_len
Average pass length
- goal_kick_attempt
Goal kick attempts
- gk_launch_percent
Percentage of goals kicks launched
- avg_gk_len
Average goal kick length
- crosses_faced
Number of crosses faced
- crosses_stopped
Number of crosses stopped
- stop_percent
Cross stop percentage
- def_actions_out_pen_area
Defensive actions outside the penalty area
- def_actions_out_pen_area_p90
Defensive actions outside the penalty area per ninety minutes
- avg_dist_def_actions
Average distance from goal of defensive actions
Source
https://fbref.com/en/comps/9/2021-2022/keepersadv/2021-2022-Premier-League-Stats
2022-2023 English Premier League Goalkeeper Statistics
Description
A dataset containing individual goalkeeper statistics for the English Premier League's 2022 - 2023 season
Usage
epl_gk_stats_2023
Format
A data frame with 39 rows and 35 variables:
- season_end_year
Calendar year when season ended
- squad
Player team
- comp
League (Premier League)
- player
Player name
- nation
Player home country
- pos
Player position
- age
Age of player
- born
Birth year of player
- min_p90
Total minutes played in the season per ninety minutes
- goals
Goals scored against player
- pk_allowed
Penalty kick goals scored against player
- free_kick_goals
Free kick goals scored against player
- corner_kick_goals
Corner kick goals scored against player
- own_goals_against
Own goals scored against player
- post_shot_xG
Post-shot expected goals
- post_shot_xG_per_shot_on_target
Post-shot expected goals per shot on target
- post_shot_xG_minus_goals
Post-shot expected goals minus goals per shot on target
- post_shot_xG_minus_goals_p90
Post-shot expected goals minus goals per shot on target per ninety minutes
- launch_completed
Passes longer than 40 yards (launch) completed
- launch_attempt
Passes longer than 40 yards attempted
- launch_completion_percent
Passes longer than 40 yards (launch) completion percentage
- pass_attempt
Passes attempted
- throw_attempt
Throws attempted
- pass_launch_percent
Percentage of passes launched
- avg_pass_len
Average pass length
- goal_kick_attempt
Goal kick attempts
- gk_launch_percent
Percentage of goals kicks launched
- avg_gk_len
Average goal kick length
- crosses_faced
Number of crosses faced
- crosses_stopped
Number of crosses stopped
- stop_percent
Cross stop percentage
- def_actions_out_pen_area
Defensive actions outside the penalty area
- def_actions_out_pen_area_p90
Defensive actions outside the penalty area per ninety minutes
- avg_dist_def_actions
Average distance from goal of defensive actions
- url
URL of player stats on fbref.com
Source
From fbref.com via the worldfootballR package
2023-2024 English Premier League Goalkeeper Statistics
Description
A dataset containing individual goalkeeper statistics for the English Premier League's 2023 - 2024 season
Usage
epl_gk_stats_2024
Format
A data frame with 39 rows and 35 variables:
- season_end_year
Calendar year when season ended
- squad
Player team
- comp
League (Premier League)
- player
Player name
- nation
Player home country
- pos
Player position
- age
Age of player
- born
Birth year of player
- min_p90
Total minutes played in the season per ninety minutes
- goals
Goals scored against player
- pk_allowed
Penalty kick goals scored against player
- free_kick_goals
Free kick goals scored against player
- corner_kick_goals
Corner kick goals scored against player
- own_goals_against
Own goals scored against player
- post_shot_xG
Post-shot expected goals
- post_shot_xG_per_shot_on_target
Post-shot expected goals per shot on target
- post_shot_xG_minus_goals
Post-shot expected goals minus goals per shot on target
- post_shot_xG_minus_goals_p90
Post-shot expected goals minus goals per shot on target per ninety minutes
- launch_completed
Passes longer than 40 yards (launch) completed
- launch_attempt
Passes longer than 40 yards attempted
- launch_completion_percent
Passes longer than 40 yards (launch) completion percentage
- pass_attempt
Passes attempted
- throw_attempt
Throws attempted
- pass_launch_percent
Percentage of passes launched
- avg_pass_len
Average pass length
- goal_kick_attempt
Goal kick attempts
- gk_launch_percent
Percentage of goals kicks launched
- avg_gk_len
Average goal kick length
- crosses_faced
Number of crosses faced
- crosses_stopped
Number of crosses stopped
- stop_percent
Cross stop percentage
- def_actions_out_pen_area
Defensive actions outside the penalty area
- def_actions_out_pen_area_p90
Defensive actions outside the penalty area per ninety minutes
- avg_dist_def_actions
Average distance from goal of defensive actions
- url
URL of player stats on fbref.com
Source
From fbref.com via the worldfootballR package
2021-2022 English Premier League Player Statistics
Description
A dataset containing individual player statistics for the English Premier League's 2021 - 2022 season
Usage
epl_player_stats_2022
Format
A data frame with 545 rows and 35 variables:
- player
Player name
- nation
Player home country
- pos
Player position
- squad
Player team
- age
Age of player
- born
Birth year of player
- mp
Matches played
- starts
Number of matches in which player started the game
- min
Total minutes played in the season
- min_p90
Total minutes played in the season per ninety minutes
- goals
Goals scored by player
- assists
Assists by player
- goals_assists
Goals scored plus assists by player
- non_pen_goals
Non-penalty goals scored by player
- pen_goals
Penalty kick goals scored by player
- pen_att
Penalty kick attempts by player
- yellow_cards
Yellow cards earned by player
- red_cards
Red cards earned by player
- xG
Expected goals
- non_pen_xG
Non-penalty kick expected goals
- xA
Expected assists
- non_pen_xGxA
Non-penalty kick expected goals and assists
- prg_carry
Progressive carries
- prg_pass
Progressive passes
- prg_reception
Progressive passes received
- goals_p90
Goals per ninety minutes
- assists_p90
Assists per ninety minutes
- goals_assists_p90
Goals and assists per ninety minutes
- non_pen_goals_p90
Non-penalty kick goals per ninety minutes
- non_pen_goals_assists_p90
Non-penalty kick goals and assists per ninety minutes
- xG_p90
Expected goals per ninety minutes
- xA_p90
Expected assists per ninety minutes
- xG_xA_p90
Expected goals plus assists per ninety minutes
- non_pen_xG_p90
Expected goals minus penalty goals per ninety minutes
- non_pen_xG_xA_p90
Expected goals plus assists minus penalty goals per ninety minutes
Source
https://fbref.com/en/comps/9/2021-2022/stats/2021-2022-Premier-League-Stats
2022-2023 English Premier League Player Statistics
Description
A dataset containing individual player statistics for the English Premier League's 2022 - 2023 season
Usage
epl_player_stats_2023
Format
A data frame with 569 rows and 38 variables:
- season_end_year
Calendar year when season ended
- squad
Player team
- comp
League (Premier League)
- player
Player name
- nation
Player home country
- pos
Player position
- age
Age of player
- born
Birth year of player
- mp
Matches played
- starts
Number of matches in which player started the game
- min
Total minutes played in the season
- min_p90
Total minutes played in the season per ninety minutes
- goals
Goals scored by player
- assists
Assists by player
- goals_assists
Goals scored plus assists by player
- non_pen_goals
Non-penalty goals scored by player
- pen_goals
Penalty kick goals scored by player
- pen_att
Penalty kick attempts by player
- yellow_cards
Yellow cards earned by player
- red_cards
Red cards earned by player
- xG
Expected goals
- non_pen_xG
Non-penalty kick expected goals
- xA
Expected assists
- non_pen_xGxA
Non-penalty kick expected goals and assists
- prg_carry
Progressive carries
- prg_pass
Progressive passes
- prg_reception
Progressive passes received
- goals_p90
Goals per ninety minutes
- assists_p90
Assists per ninety minutes
- goals_assists_p90
Goals and assists per ninety minutes
- non_pen_goals_p90
Non-penalty kick goals per ninety minutes
- non_pen_goals_assists_p90
Non-penalty kick goals and assists per ninety minutes
- xG_p90
Expected goals per ninety minutes
- xA_p90
Expected assists per ninety minutes
- xG_xA_p90
Expected goals plus assists per ninety minutes
- non_pen_xG_p90
Expected goals minus penalty goals per ninety minutes
- non_pen_xG_xA_p90
Expected goals plus assists minus penalty goals per ninety minutes
- url
URL of player stats on fbref.com
Source
From fbref.com via the worldfootballR package
2023-2024 English Premier League Player Statistics
Description
A dataset containing individual player statistics for the English Premier League's 2023 - 2024 season
Usage
epl_player_stats_2024
Format
A data frame with 569 rows and 38 variables:
- season_end_year
Calendar year when season ended
- squad
Player team
- comp
League (Premier League)
- player
Player name
- nation
Player home country
- pos
Player position
- age
Age of player
- born
Birth year of player
- mp
Matches played
- starts
Number of matches in which player started the game
- min
Total minutes played in the season
- min_p90
Total minutes played in the season per ninety minutes
- goals
Goals scored by player
- assists
Assists by player
- goals_assists
Goals scored plus assists by player
- non_pen_goals
Non-penalty goals scored by player
- pen_goals
Penalty kick goals scored by player
- pen_att
Penalty kick attempts by player
- yellow_cards
Yellow cards earned by player
- red_cards
Red cards earned by player
- xG
Expected goals
- non_pen_xG
Non-penalty kick expected goals
- xA
Expected assists
- non_pen_xGxA
Non-penalty kick expected goals and assists
- prg_carry
Progressive carries
- prg_pass
Progressive passes
- prg_reception
Progressive passes received
- goals_p90
Goals per ninety minutes
- assists_p90
Assists per ninety minutes
- goals_assists_p90
Goals and assists per ninety minutes
- non_pen_goals_p90
Non-penalty kick goals per ninety minutes
- non_pen_goals_assists_p90
Non-penalty kick goals and assists per ninety minutes
- xG_p90
Expected goals per ninety minutes
- xA_p90
Expected assists per ninety minutes
- xG_xA_p90
Expected goals plus assists per ninety minutes
- non_pen_xG_p90
Expected goals minus penalty goals per ninety minutes
- non_pen_xG_xA_p90
Expected goals plus assists minus penalty goals per ninety minutes
- url
URL of player stats on fbref.com
Source
From fbref.com via the worldfootballR package
2017-18 through 2021-22 English Premier League Tea, Statistics
Description
A dataset containing team statistics for the English Premier League
Usage
epl_team_stats
Format
A data frame with 100 rows and 29 variables:
- squad
Team or club name
- season
Season
- num_players
Number of players used in the season
- age
Age of players weighted by minutes played
- poss
Possession as a percentage of passes attempted
- goals
Goals scored by team
- assists
Assists by team
- goals_assists
Goals scored plus assists by team
- non_pen_goals
Non-penalty goals scored by team
- pen_goals
Penalty kick goals scored by team
- pen_att
Penalty kick attempts by team
- yellow_cards
Yellow cards earned by team
- red_cards
Red cards earned by team
- xG
Expected goals
- non_pen_xG
Non-penalty kick expected goals
- xA
Expected assists
- non_pen_xGxA
Non-penalty kick expected goals and assists
- prg_carry
Progressive carries
- prg_pass
Progressive passes
- goals_p90
Goals per ninety minutes
- assists_p90
Assists per ninety minutes
- goals_assists_p90
Goals and assists per ninety minutes
- non_pen_goals_p90
Non-penalty kick goals per ninety minutes
- non_pen_goals_assists_p90
Non-penalty kick goals and assists per ninety minutes
- xG_p90
Expected goals per ninety minutes
- xA_p90
Expected assists per ninety minutes
- xG_xA_p90
Expected goals plus assists per ninety minutes
- non_pen_xG_p90
Expected goals minus penalty goals per ninety minutes
- non_pen_xG_xA_p90
Expected goals plus assists minus penalty goals per ninety minutes
Source
https://fbref.com/en/comps/9/2021-2022/stats/2021-2022-Premier-League-Stats
2022-23 English Premier League Team Statistics
Description
A dataset containing team statistics for the English Premier League 2022-23
Usage
epl_team_stats_2023
Format
A data frame with 20 rows and 31 variables:
- season_end_year
Calendar year when season ended
- squad
Player team
- comp
League (Premier League)
- num_players
Number of players used in the season
- age
Age of players weighted by minutes played
- poss
Possession as a percentage of passes attempted
- goals
Goals scored by team
- assists
Assists by team
- goals_assists
Goals scored plus assists by team
- non_pen_goals
Non-penalty goals scored by team
- pen_goals
Penalty kick goals scored by team
- pen_att
Penalty kick attempts by team
- yellow_cards
Yellow cards earned by team
- red_cards
Red cards earned by team
- xG
Expected goals
- non_pen_xG
Non-penalty kick expected goals
- xA
Expected assists
- non_pen_xGxA
Non-penalty kick expected goals and assists
- prg_carry
Progressive carries
- prg_pass
Progressive passes
- goals_p90
Goals per ninety minutes
- assists_p90
Assists per ninety minutes
- goals_assists_p90
Goals and assists per ninety minutes
- non_pen_goals_p90
Non-penalty kick goals per ninety minutes
- non_pen_goals_assists_p90
Non-penalty kick goals and assists per ninety minutes
- xG_p90
Expected goals per ninety minutes
- xA_p90
Expected assists per ninety minutes
- xG_xA_p90
Expected goals plus assists per ninety minutes
- non_pen_xG_p90
Expected goals minus penalty goals per ninety minutes
- non_pen_xG_xA_p90
Expected goals plus assists minus penalty goals per ninety minutes
- url
URL of player stats on fbref.com
Source
From fbref.com via the worldfootballR package
2023-24 English Premier League Team Statistics
Description
A dataset containing team statistics for the English Premier League 2023-24
Usage
epl_team_stats_2024
Format
A data frame with 20 rows and 31 variables:
- season_end_year
Calendar year when season ended
- squad
Player team
- comp
League (Premier League)
- num_players
Number of players used in the season
- age
Age of players weighted by minutes played
- poss
Possession as a percentage of passes attempted
- goals
Goals scored by team
- assists
Assists by team
- goals_assists
Goals scored plus assists by team
- non_pen_goals
Non-penalty goals scored by team
- pen_goals
Penalty kick goals scored by team
- pen_att
Penalty kick attempts by team
- yellow_cards
Yellow cards earned by team
- red_cards
Red cards earned by team
- xG
Expected goals
- non_pen_xG
Non-penalty kick expected goals
- xA
Expected assists
- non_pen_xGxA
Non-penalty kick expected goals and assists
- prg_carry
Progressive carries
- prg_pass
Progressive passes
- goals_p90
Goals per ninety minutes
- assists_p90
Assists per ninety minutes
- goals_assists_p90
Goals and assists per ninety minutes
- non_pen_goals_p90
Non-penalty kick goals per ninety minutes
- non_pen_goals_assists_p90
Non-penalty kick goals and assists per ninety minutes
- xG_p90
Expected goals per ninety minutes
- xA_p90
Expected assists per ninety minutes
- xG_xA_p90
Expected goals plus assists per ninety minutes
- non_pen_xG_p90
Expected goals minus penalty goals per ninety minutes
- non_pen_xG_xA_p90
Expected goals plus assists minus penalty goals per ninety minutes
- url
URL of player stats on fbref.com
Source
From fbref.com via the worldfootballR package
2019 Masters Tournament Scores
Description
A dataset containing the scores from the 2019 Masters Golf Tournament.
Usage
masters
Format
A data frame with 87 rows and 9 variables:
- pos
finishing position for a player
- player_name
name of the golfer
- nationality
nationality of the golfer
- score
final score relative to par
- round_1
number of strokes from the first round
- round_2
number of strokes from the second round
- round_3
number of strokes from the third round
- round_4
number of strokes from the fourth round
- total
total strokes from all rounds
Source
2021 NBA Advanced Statistics (Team) for the 2020-21 Season
Description
A dataset containing the NBA Four Factor table on nba.com
Usage
nba_adv_team_2021
Format
A data frame with 2160 rows and 29 variables:
- idGame
Game ID on nba.com
- slugTeam
Team abbreviation
- idTeam
Team ID on nba.com
- pctAST
Assist percentage
- pctOREB
Offensive rebound percentage
- pctDREB
Defensive rebound percentage
- pctTREB
Total rebound percentage
- pctTOVE
Turnover percentage (one)
- pctTOVTeam
Turnover percentage (two)
- pctEFG
Effective field goal percentage
- pctTS
True Shooting percentage
- pctUSG
Usage metric
- pctUSGE
Usage percentage
- teamName
Team Mascot
- cityTeam
City of slugTeam
- minExact
Total minutes played
- ortgE
offensive rating (effective ?)
- ortg
offensive rating
- drtgE
defensive rating (effective ?)
- drtg
defensive rating
- netrtgE
net rating (effective ?)
- netrtg
net rating
- ratioASTtoTOV
Assists to turnover ratio
- ratioAST
Assist ratio
- paceE
pace (effective ?)
- pace
pace
- pacePer40PACE_PER40
pace per forty minutes
- possessions
team possessions in game
- ratioPIE
Player impact estimate
Source
http://asbcllc.com/nbastatR/reference/box_scores.html
NBA Advanced Statistics (Team) for the 2022-23 Season
Description
A dataset containing the NBA Four Factor table on nba.com
Usage
nba_adv_team_2023
Format
A data frame with 2460 rows and 29 variables:
- game_id
Game ID on nba.com
- team_id
Team ID on nba.com
- team_name
Team name
- team_abbreviation
Team abbreviation
- team_city
Team city
- min
Total minutes in the game
- e_off_rating
offensive rating (effective ?)
- off_rating
offensive rating
- e_def_rating
defensive rating (effective ?)
- def_rating
defensive rating
- e_net_rating
net rating (effective ?)
- net_rating
net rating
- ast_pct
Assist percentage
- ast_tov
Assists to turnover ratio
- ast_ratio
Assist ratio
- oreb_pct
Offensive rebound percentage
- dreb_pct
Defensive rebound percentage
- reb_pct
Total rebound percentage
- e_tm_tov_pct
Turnover percentage (effective?)
- tm_tov_pct
Turnover percentage
- efg_pct
Effective field goal percentage
- ts_pct
True Shooting percentage
- usg_pct
Usage percentage
- e_usg_pct
Usage percentage (effective?)
- e_pace
pace (effective ?)
- pace
pace
- pace_per40
pace per forty minutes
- poss
team possessions in game
- pie
Player impact estimate
Source
http://asbcllc.com/nbastatR/reference/box_scores.html
NBA Advanced Statistics (Team) for the 2023-24 Season
Description
A dataset containing the NBA Four Factor table on nba.com
Usage
nba_adv_team_2024
Format
A data frame with 2460 rows and 29 variables:
- game_id
Game ID on nba.com
- team_id
Team ID on nba.com
- team_name
Team name
- team_abbreviation
Team abbreviation
- team_city
Team city
- min
Total minutes in the game
- e_off_rating
offensive rating (effective ?)
- off_rating
offensive rating
- e_def_rating
defensive rating (effective ?)
- def_rating
defensive rating
- e_net_rating
net rating (effective ?)
- net_rating
net rating
- ast_pct
Assist percentage
- ast_tov
Assists to turnover ratio
- ast_ratio
Assist ratio
- oreb_pct
Offensive rebound percentage
- dreb_pct
Defensive rebound percentage
- reb_pct
Total rebound percentage
- e_tm_tov_pct
Turnover percentage (effective?)
- tm_tov_pct
Turnover percentage
- efg_pct
Effective field goal percentage
- ts_pct
True Shooting percentage
- usg_pct
Usage percentage
- e_usg_pct
Usage percentage (effective?)
- e_pace
pace (effective ?)
- pace
pace
- pace_per40
pace per forty minutes
- poss
team possessions in game
- pie
Player impact estimate
Source
http://asbcllc.com/nbastatR/reference/box_scores.html
NBA Advanced Statistics (Team) for the 2024-25 Season
Description
A dataset containing the NBA Four Factor table on nba.com
Usage
nba_adv_team_2025
Format
A data frame with 2460 rows and 29 variables:
- game_id
Game ID on nba.com
- team_id
Team ID on nba.com
- team_name
Team name
- team_abbreviation
Team abbreviation
- team_city
Team city
- min
Total minutes in the game
- e_off_rating
offensive rating (effective ?)
- off_rating
offensive rating
- e_def_rating
defensive rating (effective ?)
- def_rating
defensive rating
- e_net_rating
net rating (effective ?)
- net_rating
net rating
- ast_pct
Assist percentage
- ast_tov
Assists to turnover ratio
- ast_ratio
Assist ratio
- oreb_pct
Offensive rebound percentage
- dreb_pct
Defensive rebound percentage
- reb_pct
Total rebound percentage
- e_tm_tov_pct
Turnover percentage (effective?)
- tm_tov_pct
Turnover percentage
- efg_pct
Effective field goal percentage
- ts_pct
True Shooting percentage
- usg_pct
Usage percentage
- e_usg_pct
Usage percentage (effective?)
- e_pace
pace (effective ?)
- pace
pace
- pace_per40
pace per forty minutes
- poss
team possessions in game
- pie
Player impact estimate
Source
http://asbcllc.com/nbastatR/reference/box_scores.html
2021 NBA Four Factors (Team) for the 2020-21 Season
Description
A dataset containing the NBA Four Factor table on nba.com
Usage
nba_ff_team_2021
Format
A data frame with 2160 rows and 11 variables:
- idGame
Game ID on nba.com
- slugTeam
Team abbreviation
- idTeam
Team ID on nba.com
- pctEFGOpponent
Effective field goal percentage of opponent
- pctTOVOpponent
Turnover percentage of opponent
- pctOREBOpponent
Offensive rebound percentage of opponent
- teamName
Team Mascot
- cityTeam
City of slugTeam
- minExact
Total minutes played
- rateFTA
Free throw rate of slugTeam
- rateFTAOpponent
Free throw rate of opponent
Source
http://asbcllc.com/nbastatR/reference/box_scores.html
NBA Four Factors (Team) for the 2022-23 Season
Description
A dataset containing the NBA Four Factor table on nba.com
Usage
nba_ff_team_2023
Format
A data frame with 2460 rows and 14 variables:
- game_id
Game ID on nba.com
- team_id
Team ID on nba.com
- team_name
Team name on nba.com
- team_abbreviation
Team abbreviation on nba.com
- team_city
Team city
- min
Minutes in the game
- efg_pct
Effective field goal percentage
- fta_rate
Free throw rate of team
- tm_tov_pct
Turnover percentage of opponent
- oreb_pct
Offensive rebound percentage of opponent
- opp_efg_pct
Effective field goal percentage of opponent
- opp_fta_rate
Free throw rate of opponent
- opp_tov_pct
Turnover percentage of opponent
- opp_oreb_pct
Offensive rebound percentage of opponent
Source
http://asbcllc.com/nbastatR/reference/box_scores.html
NBA Four Factors (Team) for the 2023-24 Season
Description
A dataset containing the NBA Four Factor table on nba.com
Usage
nba_ff_team_2024
Format
A data frame with 2460 rows and 14 variables:
- game_id
Game ID on nba.com
- team_id
Team ID on nba.com
- team_name
Team name on nba.com
- team_abbreviation
Team abbreviation on nba.com
- team_city
Team city
- min
Minutes in the game
- efg_pct
Effective field goal percentage
- fta_rate
Free throw rate of team
- tm_tov_pct
Turnover percentage of opponent
- oreb_pct
Offensive rebound percentage of opponent
- opp_efg_pct
Effective field goal percentage of opponent
- opp_fta_rate
Free throw rate of opponent
- opp_tov_pct
Turnover percentage of opponent
- opp_oreb_pct
Offensive rebound percentage of opponent
Source
http://asbcllc.com/nbastatR/reference/box_scores.html
NBA Four Factors (Team) for the 2024-25 Season
Description
A dataset containing the NBA Four Factor table on nba.com
Usage
nba_ff_team_2025
Format
A data frame with 2460 rows and 14 variables:
- game_id
Game ID on nba.com
- team_id
Team ID on nba.com
- team_name
Team name on nba.com
- team_abbreviation
Team abbreviation on nba.com
- team_city
Team city
- min
Minutes in the game
- efg_pct
Effective field goal percentage
- fta_rate
Free throw rate of team
- tm_tov_pct
Turnover percentage of opponent
- oreb_pct
Offensive rebound percentage of opponent
- opp_efg_pct
Effective field goal percentage of opponent
- opp_fta_rate
Free throw rate of opponent
- opp_tov_pct
Turnover percentage of opponent
- opp_oreb_pct
Offensive rebound percentage of opponent
Source
http://asbcllc.com/nbastatR/reference/box_scores.html
2021 NBA Game Logs for the 2020-21 Season
Description
A dataset containing the NBA Games table on nba.com
Usage
nba_games_2021
Format
A data frame with 1832 rows and 47 variables:
- yearSeason
Season in which the game was played (YYYY)
- slugSeason
Season in which the game was played (YYYY-YY)
- slugLeague
Always given as NBA
- typeSeason
Regular season data
- dateGame
Date in YYYY-MM-DD
- idGame
Game ID on nba.com
- numberGameTeamSeason
slugTeam game number in the season
- nameTeam
Full team name
- idTeam
Team ID on nba.com
- isB2B
Logical for back-to-back game
- isB2BFirst
Logical for first game of back-to-back game
- isB2BSecond
Logical for second game of back-to-back game
- locationGame
Home (H) or Away (A)
- slugMatchup
Team One vs. Team Two
- slugTeam
Team abbreviation
- countDaysRestTeam
Days between previous game and this game
- countDaysNextGameTeam
Days until next game
- slugOpponent
Opponent abbreviation
- slugTeamWinner
Team that won (abbreviation)
- slugTeamLoser
Team that lost (abbreviation)
- outcomeGame
Result for slugTeam (W or L)
- isWin
Logical for slugTeam winning
- fgmTeam
slugTeam field goals made
- fgaTeam
slugTeam field goal attempts
- pctFGTeam
slugTeam field goal percentage
- fg3mTeam
slugTeam three point field goals made
- fg3aTeam
slugTeam three point field goal attempts
- pctFG3Team
slugTeam three point field goal percentage
- pctFTTeam
slugTeam free throw percentage
- hasVideo
Logical if game video exists
- fg2mTeam
slugTeam two point field goals made
- fg2aTeam
slugTeam two point field goal attempts
- pctFG2Team
slugTeam two point field goal percentage
- minutesTeam
Total minutes played
- ftmTeam
slugTeam free throws made
- ftaTeam
slugTeam free throw attempts
- orebTeam
slugTeam offensive rebounds
- drebTeam
slugTeam defensive rebounds
- trebTeam
slugTeam total rebounds
- astTeam
slugTeam total assists
- stlTeam
slugTeam total steals
- blkTeam
slugTeam total blocks
- tovTeam
slugTeam total turnovers
- pfTeam
slugTeam total personal fouls
- ptsTeam
slugTeam total points scored
- plusminusTeam
Margin of game as slugTeam score minus slugOpponent score
- urlTeamSeasonLogo
url of slugTeam logo
Source
http://asbcllc.com/nbastatR/reference/game_logs.html
NBA Game Logs for the 2022-23 Season
Description
A dataset containing the NBA Games table on nba.com
Usage
nba_games_2023
Format
A data frame with 2460 rows and 29 variables:
- season_id
Season in which the game was played (YYYY)
- team_id
Team ID on nba.com
- team_abbreviation
Team abbreviation on nba.com
- team_name
Team name on nba.com
- game_id
Game ID on nba.com
- game_date
Date in YYYY-MM-DD
- matchup
Team One vs. Team Two
- wl
Win or Loss
- min
Minutes in the game
- fgm
Team Field goals made
- fga
Team Field goal attempts
- fg_pct
Team field goal percentage
- fg3m
Team three point field goals made
- fg3a
Team three point field goal attempts
- fg3_pct
Team three point field goal percentage
- ftm
Team free throws made
- fta
Team free throw attempts
- ft_pct
Team free throw percentage
- oreb
Team offensive rebounds
- dreb
Team defensive rebounds
- reb
Team total rebounds
- ast
Team total assists
- stl
Team total steals
- blk
Team total blocks
- tov
Team total turnovers
- pf
Team total personal fouls
- pts
Team total points scored
- plus_minus
Margin of game as Team score minus Opponent score
- video_available
Logical if game video exists
Source
http://asbcllc.com/nbastatR/reference/game_logs.html
NBA Game Logs for the 2023-24 Season
Description
A dataset containing the NBA Games table on nba.com
Usage
nba_games_2024
Format
A data frame with 2460 rows and 29 variables:
- season_id
Season in which the game was played (YYYY)
- team_id
Team ID on nba.com
- team_abbreviation
Team abbreviation on nba.com
- team_name
Team name on nba.com
- game_id
Game ID on nba.com
- game_date
Date in YYYY-MM-DD
- matchup
Team One vs. Team Two
- wl
Win or Loss
- min
Minutes in the game
- fgm
Team Field goals made
- fga
Team Field goal attempts
- fg_pct
Team field goal percentage
- fg3m
Team three point field goals made
- fg3a
Team three point field goal attempts
- fg3_pct
Team three point field goal percentage
- ftm
Team free throws made
- fta
Team free throw attempts
- ft_pct
Team free throw percentage
- oreb
Team offensive rebounds
- dreb
Team defensive rebounds
- reb
Team total rebounds
- ast
Team total assists
- stl
Team total steals
- blk
Team total blocks
- tov
Team total turnovers
- pf
Team total personal fouls
- pts
Team total points scored
- plus_minus
Margin of game as Team score minus Opponent score
- video_available
Logical if game video exists
Source
http://asbcllc.com/nbastatR/reference/game_logs.html
NBA Game Logs for the 2024-25 Season
Description
A dataset containing the NBA Games table on nba.com
Usage
nba_games_2025
Format
A data frame with 2460 rows and 29 variables:
- season_id
Season in which the game was played (YYYY)
- team_id
Team ID on nba.com
- team_abbreviation
Team abbreviation on nba.com
- team_name
Team name on nba.com
- game_id
Game ID on nba.com
- game_date
Date in YYYY-MM-DD
- matchup
Team One vs. Team Two
- wl
Win or Loss
- min
Minutes in the game
- fgm
Team Field goals made
- fga
Team Field goal attempts
- fg_pct
Team field goal percentage
- fg3m
Team three point field goals made
- fg3a
Team three point field goal attempts
- fg3_pct
Team three point field goal percentage
- ftm
Team free throws made
- fta
Team free throw attempts
- ft_pct
Team free throw percentage
- oreb
Team offensive rebounds
- dreb
Team defensive rebounds
- reb
Team total rebounds
- ast
Team total assists
- stl
Team total steals
- blk
Team total blocks
- tov
Team total turnovers
- pf
Team total personal fouls
- pts
Team total points scored
- plus_minus
Margin of game as Team score minus Opponent score
- video_available
Logical if game video exists
Source
http://asbcllc.com/nbastatR/reference/game_logs.html
2014/5 - 2022/23 Shot Data for the NBA's Denver Nuggets
Description
A dataset containing seven seasons of Denver Nuggets shot data from NBA.com
Usage
nba_nuggets_shots
Format
A data frame with 62196 rows and 27 variables:
- yearSeason
Season in which the game was played (YYYY)
- slugSeason
Season in which the game was played (YYYY-YY)
- idTeam
Team ID on nba.com
- idPlayer
Player ID on nba.com
- typeGrid
A string showing grid type
- namePlayer
Player name
- nameTeam
Full team name
- typeEvent
Made or Missed Shot
- typeAction
Type of shot, e.g. Jump Shot
- typeShot
Two or three point shot
- dateGame
Date in YYYY-MM-DD
- slugTeamHome
Home Team abbreviation
- slugTeamAway
Away Team abbreviation
- idGame
Game ID on nba.com
- idEvent
Event ID within the game on nba.com
- numberPeriod
Period in game in which the shot was taken
- minutesRemaining
Minutes remaining in the period in which the shot was taken
- zoneBasic
Description of area on court where shot was taken
- nameZone
Name of the zone
- slugZone
Abbreviation of shot zone
- zoneRange
Distance of shot in categories
- locationX
X cordinate where shot was taken
- locationY
Y cordinate where shot was taken
- secondsRemaining
Seconds remainin when shot was taken
- distanceShot
Distance of the shot in feet
- isShotAttempted
Logical for shot taken
- isShotMade
Logical for make/miss of shot
Source
http://asbcllc.com/nbastatR/reference/teams_shots.html
NHL Skater Statistics from Hockey Reference
Description
A dataset containing NHL Skater Statistics
Usage
nhl_data_hockey_reference
Format
A data frame with 12375 rows and 49 variables:
- player
Name
- age
Age
- tm
Team
- pos
Position
- gp
Games played
- g
Goals
- a
Assists
- pts
Goals plus Assists (Points)
- x
Plus Minus
- pim
Penalties in minutes
- ps
Point shares
- ev
Even strength goals
- pp
Power play goals
- sh
Short handed goals
- gw
Game winning goals
- eva
Even strength assists
- ppa
Power play assists
- sha
Short handed assists
- s
Shots on goal
- s_percent
Shooting percentage
- toi
Time on ice (minutes)
- atoi
Average time on ice
- blk
Blocks
- hit
Hits
- fow
Face offs won
- fol
Face offs lost
- fo_percent
Face off win percentage
- cf
Corsi for
- ca
Corsi against
- cf_percent
Corsi for percent
- cf_percent_rel
On-ice Corsi for percent minus off-ice Corsi for percent
- ff
Fenwick for
- fa
Fenwick against
- ff_percent
Fenwick for percent
- ff_percent_rel
On-ice Fenwick for percent minus off-ice Fenwick for percent
- oi_sh_percent
Team on-ice shooting percentage
- oi_sv_percent
Team on-ice save percentage
- pdo
PDO
- o_zs_percent
Offensive zone start percentage
- d_zs_percent
Defensive zone start percentage
- toi_60
Time on ice per 60 minutes
- toi_ev
Time on ice per 60 minutes at even strength
- tk
Takeaways
- gv
Giveaways
- s_att
Total shot attempts in all situations
- thru_percent
Percentage of shots taken that go on net
- season
Season
- e
Expected plus minus
Source
2021-2 NHL Team Statistics
Description
A dataset containing the NHL Statistics
Usage
nhl_team_stats_2021
Format
A data frame with 32 rows and 35 variables:
- stat_games_played
Games played
- stat_wins
Wins
- stat_losses
Losses
- stat_ot
Overtimes
- stat_pts
Points
- stat_pt_pctg
Point Percentage
- stat_goals_per_game
Goals per game
- stat_goals_against_per_game
Goals against per game
- stat_ev_gga_ratio
Even strength gga ratio
- stat_power_play_percentage
Power play percentage
- stat_power_play_goals
Power play goals
- stat_power_play_goals_against
Power play goals against
- stat_power_play_opportunities
Power play opportunities
- stat_penalty_kill_percentage
Penalty kill percentage
- stat_shots_per_game
Shots per game
- stat_shots_allowed
Shots allowed
- stat_win_score_first
Wins when scoring first
- stat_win_opp_score_first
Wins when opponent scores first
- stat_win_lead_first_per
Wins when leading after first period
- stat_win_lead_second_per
Wins when leading after second period
- stat_win_outshoot_opp
Wins when outshooting opponent
- stat_win_outshot_by_opp
Wins when outshot by opponent
- stat_face_offs_taken
Face-offs taken
- stat_face_offs_won
Face-offs won
- stat_face_offs_lost
Face-offs lost
- stat_face_off_win_percentage
Face-off win percentage
- stat_shooting_pctg
Shooting percentage
- stat_save_pctg
Save percentage
- stat_penalty_kill_opportunities
Penalty kill opportunities
- stat_save_pct_rank
Save percentage rank
- stat_shooting_pct_rank
Shooting percentage rank
- team_id
Team ID
- team_name
Team name
- team_link
Team link
- season
Season
Source
2022-3 NHL Team Statistics
Description
A dataset containing the NHL Statistics
Usage
nhl_team_stats_2022
Format
A data frame with 32 rows and 35 variables:
- stat_games_played
Games played
- stat_wins
Wins
- stat_losses
Losses
- stat_ot
Overtimes
- stat_pts
Points
- stat_pt_pctg
Point Percentage
- stat_goals_per_game
Goals per game
- stat_goals_against_per_game
Goals against per game
- stat_ev_gga_ratio
Even strength gga ratio
- stat_power_play_percentage
Power play percentage
- stat_power_play_goals
Power play goals
- stat_power_play_goals_against
Power play goals against
- stat_power_play_opportunities
Power play opportunities
- stat_penalty_kill_percentage
Penalty kill percentage
- stat_shots_per_game
Shots per game
- stat_shots_allowed
Shots allowed
- stat_win_score_first
Wins when scoring first
- stat_win_opp_score_first
Wins when opponent scores first
- stat_win_lead_first_per
Wins when leading after first period
- stat_win_lead_second_per
Wins when leading after second period
- stat_win_outshoot_opp
Wins when outshooting opponent
- stat_win_outshot_by_opp
Wins when outshot by opponent
- stat_face_offs_taken
Face-offs taken
- stat_face_offs_won
Face-offs won
- stat_face_offs_lost
Face-offs lost
- stat_face_off_win_percentage
Face-off win percentage
- stat_shooting_pctg
Shooting percentage
- stat_save_pctg
Save percentage
- stat_penalty_kill_opportunities
Penalty kill opportunities
- stat_save_pct_rank
Save percentage rank
- stat_shooting_pct_rank
Shooting percentage rank
- team_id
Team ID
- team_name
Team name
- team_link
Team link
- season
Season
Source
2022 NWSL Player Statistics
Description
A dataset containing individual player statistics for the National Women's Soccer League
Usage
nwsl_player_stats
Format
A data frame with 314 rows and 13 variables:
- player
Player name
- nation
Player home country
- pos
Player position
- squad
Player team
- age
Age of player
- mp
Matches played
- starts
Number of matches in which player started the game
- min
Total minutes played in the season
- xGp90
Expected goals per ninety minutes
- xAp90
Expected assists per ninety minutes
- xGxAp90
Expected goals plus assists per ninety minutes
- npxGp90
Expected goals minus penalty goals per ninety minutes
- npxGxAp90
Expected goals plus assists minus penalty goals per ninety minutes
Source
https://fbref.com/en/comps/182/stats/NWSL-Stats
2022 Official World Golf Rankings
Description
A dataset containing the Official World Golf Rankings in June 2022
Usage
ow_golf_rankings
Format
A data frame with 300 rows and 2 variables:
- WGR_June_2022
official golf world ranking
- Player_initial_last
initial of first name and complete last name of player
Source
https://www.owgr.com/archive/archive.sps?iType=1747
PGA Tournament Data
Description
A dataset containing PGA Tournament Data from 2022 season
Usage
pga_tournaments
Format
A data frame with 3676 rows and 34 variables:
- Player_initial_last
initial of first name and complete last name of player
- tournament.id
tournament ID
- player.id
plyaer ID
- hole_par
par across all holes played by the player
- strokes
strokes taken on all holes played by the player
- hole_DKP
Draftkings points on holes
- hole_FDP
Fanduel points on the holes
- hole_SDP
Showdown points on the holes
- streak_DKP
Draftkings points on streaks
- streak_FDP
Fanduel points on streaks
- streak_SDP
Showdown points on streaks
- n_rounds
number of rounds played
- made_cut
player made the cut or not
- pos
finishing position of player
- finish_DKP
Draftkings points on the finishing position
- finish_FDP
Fanduel points on the finishing position
- finish_SDP
Showdown points on the finishing position
- total_DKP
total Draftkings points for the tournament
- total_FDP
total Fanduel points for the tournament
- total_SDP
total Showdown points for the tournament
- player
player full name
- tournament.name
tournament full name
- course
course name
- date
data of tournament
- purse
total prize money (in millions)
- season
year of season
- no_cut
Not sure
- Finish
finishing position
- sg_putt
strokes gained from putting
- sg_arg
strokes gained around the green
- sg_app
strokes gained on approach shots
- sg_ott
strokes gained off the tee
- sg_t2g
strokes gained tee to green
- sg_total
total strokes gained
Source
Courtesy of Matt Courchene of Datagolf.com