Get ESPN's WR metrics from FiveThirtyEight
get_espn_wr_metrics()tibble
raw_metrics <- espnscrapeR::get_espn_wr_metrics()
dplyr::glimpse(raw_metrics)
#> Rows: 1,657
#> Columns: 20
#> $ gsis_id <chr> "00-0035676", "00-0030506", "00-0033040", "00-003158…
#> $ position <chr> "WR", "TE", "WR", "WR", "WR", "WR", "WR", "TE", "WR"…
#> $ tm <chr> "PHI", "KC", "MIA", "BUF", "SEA", "CIN", "NO", "CLE"…
#> $ overall <int> 86, 81, 80, 79, 78, 75, 75, 74, 74, 73, 73, 71, 70, …
#> $ open_score <int> 88, 80, 86, 73, 90, 73, 83, 64, 78, 73, 77, 68, 68, …
#> $ catch_score <int> 56, 76, 69, 78, 81, 53, 67, 65, 62, 65, 53, 63, 72, …
#> $ yac_score <int> 72, 47, 45, 50, 22, 70, 41, 68, 51, 54, 60, 56, 46, …
#> $ rtm_routes <int> 198, 216, 244, 236, 241, 286, 219, 179, 253, 289, 22…
#> $ rtm_targets <int> 60, 55, 82, 65, 61, 68, 63, 37, 66, 43, 48, 44, 64, …
#> $ min_season <int> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022…
#> $ max_season <int> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022…
#> $ min_player_season <int> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022…
#> $ max_player_season <int> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022…
#> $ min_rtm_targets <int> 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, …
#> $ dot_com_id <chr> "4047646", "15847", "3116406", "2976212", "2577327",…
#> $ first_nm <chr> "A.J.", "Travis", "Tyreek", "Stefon", "Tyler", "Ja'M…
#> $ last_nm <chr> "Brown", "Kelce", "Hill", "Diggs", "Lockett", "Chase…
#> $ full_nm <chr> "A.J. Brown", "Travis Kelce", "Tyreek Hill", "Stefon…
#> $ team_name <chr> "Philadelphia Eagles", "Kansas City Chiefs", "Miami …
#> $ yds <int> 659, 553, 961, 764, 531, 605, 547, 418, 752, 493, 48…