Help for package ISAR

Type:

Package

Title:

Introduction to Sports Analytics using R (ISAR) Data

Version:

1.0.1

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:

Packaged:

2025-08-15 19:39:48 UTC; ryanelmore

Author:

Ryan Elmore [cre, aut]

Repository:

CRAN

Date/Publication:

2025-08-18 17:50:14 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

https://www.nhl.com/stats/

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

https://www.nhl.com/stats/

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

https://www.nhl.com/stats/

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

https://www.nhl.com/stats/

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

2024-2025 English Premier League Goalkeeper Statistics

Description

A dataset containing individual goalkeeper statistics for the English Premier League's 2024 - 2025 season

Usage

epl_gk_stats_2025

Format

A data frame with 44 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 580 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

2024-2025 English Premier League Player Statistics

Description

A dataset containing individual player statistics for the English Premier League's 2024 - 2025 season

Usage

epl_player_stats_2025

Format

A data frame with 574 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

2024-25 English Premier League Team Statistics

Description

A dataset containing team statistics for the English Premier League 2024-25

Usage

epl_team_stats_2025

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

https://www.sportingnews.com/us/golf/news/masters-leaderboard-2019-live-scores-results-sunday/n1j77sci339r1f60hm3e1ei17

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

https://www.nhl.com/stats/

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

https://www.nhl.com/stats/

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

https://www.nhl.com/stats/

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

2023 NWSL Player Statistics

Description

A dataset containing individual player statistics for the National Women's Soccer League

Usage

nwsl_player_stats_2023

Format

A data frame with 307 rows and 18 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
Gp90: Goals per ninety minutes
Ap90: Assists per ninety minutes
GAp90: Goals plus assists per ninety minutes
npGp90: Goals minus penalty goals per ninety minutes
npGAp90: Goals plus assists minus penalty goals per ninety minutes
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

2024 NWSL Player Statistics

Description

A dataset containing individual player statistics for the National Women's Soccer League

Usage

nwsl_player_stats_2024

Format

A data frame with 376 rows and 18 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
Gp90: Goals per ninety minutes
Ap90: Assists per ninety minutes
GAp90: Goals plus assists per ninety minutes
npGp90: Goals minus penalty goals per ninety minutes
npGAp90: Goals plus assists minus penalty goals per ninety minutes
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