This returns game/schedule information as maintained by Lee Sharpe.
load_schedules(seasons = TRUE)
| seasons | a numeric vector of seasons to return, default |
|---|
A tibble of game information for past and/or future games.
https://github.com/nflverse/nfldata/blob/master/DATASETS.md#games
dictionary_schedules for the data dictionary as a dataframe
vignette("Data Dictionary - Schedules") for the data dictionary as a vignette
# \donttest{ load_schedules(2020)#> # A tibble: 269 × 45 #> game_id season game_type week gameday weekday gametime away_team away_score #> <chr> <int> <chr> <int> <chr> <chr> <chr> <chr> <int> #> 1 2020_01… 2020 REG 1 2020-0… Thursd… 20:20 HOU 20 #> 2 2020_01… 2020 REG 1 2020-0… Sunday 13:00 SEA 38 #> 3 2020_01… 2020 REG 1 2020-0… Sunday 13:00 CLE 6 #> 4 2020_01… 2020 REG 1 2020-0… Sunday 13:00 NYJ 17 #> 5 2020_01… 2020 REG 1 2020-0… Sunday 13:00 LV 34 #> 6 2020_01… 2020 REG 1 2020-0… Sunday 13:00 CHI 27 #> 7 2020_01… 2020 REG 1 2020-0… Sunday 13:00 IND 20 #> 8 2020_01… 2020 REG 1 2020-0… Sunday 13:00 GB 43 #> 9 2020_01… 2020 REG 1 2020-0… Sunday 13:00 MIA 11 #> 10 2020_01… 2020 REG 1 2020-0… Sunday 13:00 PHI 17 #> # … with 259 more rows, and 36 more variables: home_team <chr>, #> # home_score <int>, location <chr>, result <int>, total <int>, #> # overtime <int>, old_game_id <chr>, gsis <int>, nfl_detail_id <chr>, #> # pfr <chr>, pff <int>, espn <chr>, away_rest <int>, home_rest <int>, #> # away_moneyline <int>, home_moneyline <int>, spread_line <dbl>, #> # away_spread_odds <int>, home_spread_odds <int>, total_line <dbl>, #> # under_odds <int>, over_odds <int>, div_game <int>, roof <chr>, …# }