nwslR is an R package that contains datasets and analysis
functionality for the National Women’s Soccer League (NWSL). Founded in
2013, the NWSL is the United States’ top professional women’s soccer
league, featuring players from all over the world. Previously, data
regarding the league has been disparate and often difficult to find. The
goal of this package is to make it easier for fans and analysts to
access and engage with all these data in one place. We’re just getting
started here; we still have a few
issues open where we could use
some help! Additionally, if you see anything you’d like added, changed,
or updated, please open up a new issue of your own.
You can install the current version of nwslR from GitHub using:
devtools::install_github("adror1/nwslR")library(nwslR)award: dataset of player awards received each seasonfieldplayer_overall_season_stats: season-by-season data for each NWSL field playerfranchise: team names, ids, and locations throughout their history in the leaguegame: dataset ofgame_ids and game results that each correspond to an individual gamegoalkeeper_season_stats: season-by-season data for each NWSL goalkeeperstadium: historical and current stadium information and statisticsteam_stats_season: season level statistics for each team from the league’s inception through present-day
head(nwslR::fieldplayer_overall_season_stats)
#> # A tibble: 6 x 14
#> person_id season nation pos team_id mp starts min gls ast pk
#> <int> <dbl> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 342 2013 " USA" DF WAS 5 4 NA 0 0 0
#> 2 117 2013 " USA" FW,MF NJ 20 20 NA 3 3 1
#> 3 6 2013 " ESP" FW WNY 15 14 3 1 NA 0
#> 4 300 2013 " USA" DF,MF KC 22 22 1900 0 5 0
#> 5 202 2013 " USA" DF POR 4 2 212 0 0 0
#> 6 202 2013 " USA" DF BOS 11 11 990 0 1 0
#> # … with 3 more variables: p_katt <dbl>, crd_y <dbl>, crd_r <dbl>head(nwslR::franchise, 15)
#> # A tibble: 15 x 5
#> team_id team_name city state season
#> <chr> <chr> <chr> <chr> <dbl>
#> 1 BOS Boston Breakers Boston MA 2013
#> 2 BOS Boston Breakers Boston MA 2014
#> 3 BOS Boston Breakers Boston MA 2015
#> 4 BOS Boston Breakers Boston MA 2016
#> 5 BOS Boston Breakers Boston MA 2017
#> 6 KC FC Kansas City Kansas City MO 2013
#> 7 KC FC Kansas City Kansas City MO 2014
#> 8 KC FC Kansas City Kansas City MO 2015
#> 9 KC FC Kansas City Kansas City MO 2016
#> 10 KC FC Kansas City Kansas City MO 2017
#> 11 WNY Western New York Flash Buffalo NY 2013
#> 12 WNY Western New York Flash Buffalo NY 2014
#> 13 WNY Western New York Flash Buffalo NY 2015
#> 14 WNY Western New York Flash Buffalo NY 2016
#> 15 CHI Chicago Red Stars Chicago IL 2013nwslR::get_adv_team_stats(2016) #scrapes and formats hundreds of advanced team statistics from the NWSL websiteharris <- nwslR::player_search("Harris", goalkeeper = TRUE)
#> Joining, by = c("person_id", "nation", "pos")
head(harris)
#> # A tibble: 6 x 21
#> person_id season nation pos team_id mp starts min ga ga_90 so_ta
#> <dbl> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 10007 2013 " USA" GK WAS 18 18 1620 33 1.83 118
#> 2 10007 2014 " USA" GK WAS 19 19 1710 31 1.63 97
#> 3 10007 2015 " USA" GK WAS 9 9 810 12 1.33 60
#> 4 10007 2016 " USA" GK ORL 15 15 1350 20 1.33 74
#> 5 10007 2017 " USA" GK ORL 13 13 1106 7 0.570 NA
#> 6 10007 2018 " USA" GK ORL 21 21 1890 31 1.48 NA
#> # … with 10 more variables: saves <dbl>, save_pct <dbl>, w <dbl>, d <dbl>,
#> # l <dbl>, cs <dbl>, cs_pct <dbl>, crd_y <dbl>, crd_r <dbl>, player <chr>For further examples and capabilities, please see the vignette