This returns game/schedule information as maintained by Lee Sharpe.
See also
https://nflreadr.nflverse.com/articles/dictionary_schedules.html for a web version of the data dictionary
dictionary_schedules
for the data dictionary as a dataframe
Issues with this data should be filed here: https://github.com/nflverse/nfldata
Examples
# \donttest{
try({ # prevents cran errors
load_schedules(2020)
})
#> ── nflverse games and schedules ────────────────────────────────────────────────
#> # 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>, …
# }