Lee Sharpe maintains an important data set that contains broadly used information on games in the National Football League. This function is a convenient helper to download the file into memory without having to remember the correct url.

load_sharpe_games()

Value

A data frame containing the following variables for all NFL games since 1999:

game_id

The ID of the game as assigned by the NFL. Note that this value matches the game_id field in nflscrapR if you wish to join the data.

season

The year of the NFL season. This represents the whole season, so regular season games that happen in January as well as playoff games will occur in the year after this number.

game_type

What type of game? One of the following values:

  • REG: a regular season game

  • WC: a wildcard playoff game

  • DIV: a divisional round playoff game

  • CON: a conference championship

  • SB: a Super Bowl

week

The week of the NFL season the game occurs in. This will be 1-17 for the regular season, 18 for wildcard playoff games, 19 for divisional playoff games, 20 for conference championships and 21 for Super Bowls.

gameday

The date on which the game occurred.

weekday

The day of the week on which the game occurred.

gametime

The kickoff time of the game. This is represented in 24-hour time and the Eastern time zone, regardless of what time zone the game was being played in.

away_team

The away team.

away_score

The number of points the away team scored. Is NA for games which haven't yet been played.

home_team

The home team. Note that this contains the designated home team for games which no team is playing at home such as Super Bowls or NFL International games.

home_score

The number of points the home team scored. Is NA for games which haven't yet been played.

location

Either Home if the home team is playing in their home stadium, or Neutral if the game is being played at a neutral location. This still shows as Home for games between the Giants and Jets even though they share the same home stadium.

result

Equals home_score - away_score. The number of points the home team scored minus the number of points the away team scored. Is NA for games which haven't yet been played. Convenient for evaluating against the spread bets.

total

The sum of each team's score in the game. Equals home_score + away_score. Is NA for games which haven't yet been played. Convenient for evaluating over/under total bets.

overtime

Whether the game went into overtime (= 1) or not (= 0).

old_game_id

The id of the game issued by the NFL Game Statistics & Information System.

away_rest

The number of days since that away team's previous game (7 is used for the team's first game of the season).

home_rest

The number of days since that home team's previous game (7 is used for the team's first game of the season).

away_moneyline

Odd of the away_team winning the game.

home_moneyline

Odd of the home_team winning the game.

spread_line

The spread line for the game. A positive number means the home team was favored by that many points, a negative number means the away team was favored by that many points. This lines up with the result column.

away_spread_odds

Odd of the away_team covering the spread_line.

home_spread_odds

Odd of the home_team covering the spread_line.

total_line

The total line for the game.

under_odds

Odd of the total being under the total_line.

over_odds

Odd of the total being over the total_line.

div_game

Whether the game was a divisional game (= 1) or not (= 0).

roof

What was the status of the stadium's roof? Will be one of the following values:

  • closed: Stadium has a retractable roof which was closed

  • dome: An indoor stadium

  • open: Stadium has a retractable roof which was open

  • outdoors: An outdoor stadium

surface

What type of ground the game was played on.

temp

The temperature at the stadium (for roof types outdoors and open only).

wind

The speed of the wind in miles/hour (for roof types outdoors and open only).

away_qb_id

GSIS ID of the "starting quarterback" of the away team identified as the first quarterback (per roster data) listed as passer (in nflfastR play by play data) in 2+ plays that game. In the final regular season game it is the QB with the most plays as the passer.

home_qb_id

GSIS ID of the "starting quarterback" of the home team identified as the first quarterback (per roster data) listed as passer (in nflfastR play by play data) in 2+ plays that game. In the final regular season game it is the QB with the most plays as the passer.

away_qb_name

Full name of the "starting quarterback" of the away team identified as the first quarterback (per roster data) listed as passer (in nflfastR play by play data) in 2+ plays that game. In the final regular season game it is the QB with the most plays as the passer.

home_qb_name

Full name of the "starting quarterback" of the home team identified as the first quarterback (per roster data) listed as passer (in nflfastR play by play data) in 2+ plays that game. In the final regular season game it is the QB with the most plays as the passer.

away_coach

Name of the head coach of the away team.

home_coach

Name of the head coach of the home team.

referee

Name of the game's referee (head official).

stadium_id

Pro Football Reference ID of the stadium.

stadium

Name of the stadium.

Examples

# \donttest{ games <- load_sharpe_games() dplyr::glimpse(games)
#> Rows: 5,852 #> Columns: 41 #> $ game_id <chr> "1999_01_MIN_ATL", "1999_01_KC_CHI", "1999_01_PIT_CLE… #> $ season <int> 1999, 1999, 1999, 1999, 1999, 1999, 1999, 1999, 1999,… #> $ game_type <chr> "REG", "REG", "REG", "REG", "REG", "REG", "REG", "REG… #> $ week <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2,… #> $ gameday <chr> "1999-09-12", "1999-09-12", "1999-09-12", "1999-09-12… #> $ weekday <chr> "Sunday", "Sunday", "Sunday", "Sunday", "Sunday", "Su… #> $ gametime <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… #> $ away_team <chr> "MIN", "KC", "PIT", "OAK", "BUF", "SF", "CAR", "NE", … #> $ away_score <int> 17, 17, 43, 24, 14, 3, 10, 30, 25, 28, 10, 17, 35, 41… #> $ home_team <chr> "ATL", "CHI", "CLE", "GB", "IND", "JAX", "NO", "NYJ",… #> $ home_score <int> 14, 20, 0, 28, 31, 41, 19, 28, 24, 20, 27, 13, 36, 35… #> $ location <chr> "Home", "Home", "Home", "Home", "Home", "Home", "Home… #> $ result <int> -3, 3, -43, 4, 17, 38, 9, -2, -1, -8, 17, -4, 1, -6, … #> $ total <int> 31, 37, 43, 52, 45, 44, 29, 58, 49, 48, 37, 30, 71, 7… #> $ overtime <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,… #> $ old_game_id <chr> "1999091210", "1999091206", "1999091213", "1999091208… #> $ espn <chr> "190912001", "190912003", "190912005", "190912009", "… #> $ away_rest <int> 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,… #> $ home_rest <int> 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,… #> $ away_moneyline <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… #> $ home_moneyline <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… #> $ spread_line <dbl> -4.0, -3.0, -6.0, 9.0, -3.0, 5.5, 3.5, 7.0, -3.0, 9.5… #> $ away_spread_odds <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… #> $ home_spread_odds <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… #> $ total_line <dbl> 49.0, 38.0, 37.0, 43.0, 45.5, 49.0, 38.0, 44.5, 37.0,… #> $ under_odds <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… #> $ over_odds <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… #> $ div_game <int> 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0,… #> $ roof <chr> "dome", "outdoors", "outdoors", "outdoors", "dome", "… #> $ surface <chr> "astroturf", "grass", "grass", "grass", "astroturf", … #> $ temp <int> NA, 80, 78, 67, NA, 76, NA, 73, 75, NA, NA, 88, 84, 7… #> $ wind <int> NA, 12, 12, 10, NA, 8, NA, 5, 3, NA, NA, 8, 10, 0, 5,… #> $ away_qb_id <chr> "00-0003761", "00-0006300", "00-0015700", "00-0005741… #> $ home_qb_id <chr> "00-0002876", "00-0010560", "00-0004230", "00-0005106… #> $ away_qb_name <chr> "Randall Cunningham", "Elvis Grbac", "Kordell Stewart… #> $ home_qb_name <chr> "Chris Chandler", "Shane Matthews", "Ty Detmer", "Bre… #> $ away_coach <chr> "Dennis Green", "Gunther Cunningham", "Bill Cowher", … #> $ home_coach <chr> "Dan Reeves", "Dick Jauron", "Chris Palmer", "Ray Rho… #> $ referee <chr> "Gerry Austin", "Phil Luckett", "Bob McElwee", "Tony … #> $ stadium_id <chr> "ATL00", "CHI98", "CLE00", "GNB00", "IND99", "JAX00",… #> $ stadium <chr> "Georgia Dome", "Soldier Field", "Cleveland Browns St…
# \dontshow{ # Close open connections for R CMD Check future::plan("sequential") # } # }