This returns game/schedule information as maintained by Lee Sharpe.
Arguments
- ...
Arguments passed on to
nflreadr::load_schedulesseasonsa numeric vector of seasons to return, default
TRUEreturns all available data.
Details
See nflreadr::load_schedules for details.
See also
For information on parallel processing and progress updates please see nflfastR.
Examples
# \donttest{
# Get schedules for the whole 2015 - 2018 seasons
fast_scraper_schedules(2015:2018)
#> ── nflverse games and schedules ────────────────────────────────────────────────
#> ℹ Data updated: 2022-11-05 12:45:09 UTC
#> # A tibble: 1,068 × 45
#> game_id season game_…¹ week gameday weekday gamet…² away_…³ away_…⁴ home_…⁵
#> <chr> <int> <chr> <int> <chr> <chr> <chr> <chr> <int> <chr>
#> 1 2015_01… 2015 REG 1 2015-0… Thursd… 20:30 PIT 21 NE
#> 2 2015_01… 2015 REG 1 2015-0… Sunday 13:00 IND 14 BUF
#> 3 2015_01… 2015 REG 1 2015-0… Sunday 13:00 GB 31 CHI
#> 4 2015_01… 2015 REG 1 2015-0… Sunday 13:00 KC 27 HOU
#> 5 2015_01… 2015 REG 1 2015-0… Sunday 13:00 CAR 20 JAX
#> 6 2015_01… 2015 REG 1 2015-0… Sunday 13:00 CLE 10 NYJ
#> 7 2015_01… 2015 REG 1 2015-0… Sunday 13:00 SEA 31 STL
#> 8 2015_01… 2015 REG 1 2015-0… Sunday 13:00 MIA 17 WAS
#> 9 2015_01… 2015 REG 1 2015-0… Sunday 16:05 NO 19 ARI
#> 10 2015_01… 2015 REG 1 2015-0… Sunday 16:05 DET 28 SD
#> # … with 1,058 more rows, 35 more variables: 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>, surface <chr>, temp <int>, wind <int>, away_qb_id <chr>, …
# }