R/scrape_nfl_weekly_standings.R
scrape_nfl_weekly_standings.RdScrape NFL weekly outcomes by week
scrape_nfl_weekly_standings(season = 2020, tidy = FALSE)character or numeric - greater than 1990
logical - either TRUE to stack data by game/week or FALSE to return table as is
tibble
# Here we run w/ tidy = FALSE to get the exact table from PFR
scrape_nfl_weekly_standings(season = 2020, tidy = FALSE)
#> Scraping standings from 2020!
#> # A tibble: 269 × 16
#> game_num season week day date time winne…¹ home_…² loser…³ pts_w…⁴
#> <int> <int> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 1 2020 1 Thu 2020-09-10 8:20PM Kansas… "" Housto… 34
#> 2 2 2020 1 Sun 2020-09-13 1:00PM Seattl… "@" Atlant… 38
#> 3 3 2020 1 Sun 2020-09-13 1:00PM Buffal… "" New Yo… 27
#> 4 4 2020 1 Sun 2020-09-13 1:00PM Las Ve… "@" Caroli… 34
#> 5 5 2020 1 Sun 2020-09-13 1:00PM Chicag… "@" Detroi… 27
#> 6 6 2020 1 Sun 2020-09-13 1:00PM Baltim… "" Clevel… 38
#> 7 7 2020 1 Sun 2020-09-13 1:00PM Jackso… "" Indian… 27
#> 8 8 2020 1 Sun 2020-09-13 1:00PM Green … "@" Minnes… 43
#> 9 9 2020 1 Sun 2020-09-13 1:00PM New En… "" Miami … 21
#> 10 10 2020 1 Sun 2020-09-13 1:00PM Washin… "" Philad… 27
#> # … with 259 more rows, 6 more variables: pts_loser <dbl>, yds_winner <dbl>,
#> # turnovers_winner <dbl>, yds_loser <dbl>, turnovers_loser <dbl>,
#> # winner <dbl>, and abbreviated variable names ¹winner_tie, ²home_team,
#> # ³loser_tie, ⁴pts_winner
# Here we scrape the outcome and stack the games on top of eachother
scrape_nfl_weekly_standings(season = 2020, tidy = TRUE)
#> Scraping standings from 2020!
#> # A tibble: 538 × 13
#> game_num season week day date time team home_…¹ points yards turno…²
#> <int> <int> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 1 2020 1 Thu 2020-09… 8:20… Kans… 1 34 369 0
#> 2 2 2020 1 Sun 2020-09… 1:00… Seat… 0 38 383 0
#> 3 3 2020 1 Sun 2020-09… 1:00… Buff… 1 27 404 2
#> 4 4 2020 1 Sun 2020-09… 1:00… Las … 0 34 372 0
#> 5 5 2020 1 Sun 2020-09… 1:00… Chic… 0 27 363 0
#> 6 6 2020 1 Sun 2020-09… 1:00… Balt… 1 38 381 1
#> 7 7 2020 1 Sun 2020-09… 1:00… Jack… 1 27 241 0
#> 8 8 2020 1 Sun 2020-09… 1:00… Gree… 0 43 522 0
#> 9 9 2020 1 Sun 2020-09… 1:00… New … 1 21 357 1
#> 10 10 2020 1 Sun 2020-09… 1:00… Wash… 1 27 239 0
#> # … with 528 more rows, 2 more variables: winner <dbl>, playoffs <dbl>, and
#> # abbreviated variable names ¹home_team, ²turnovers