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usportsR

usportsR is a package that is designed to provide users with data from all U SPORTS sanctioned sports.

  • The package contains U SPORTS data spanning over a decade of pre-season, regular season, and post-season matches.

  • Sports currently included are Soccer, Basketball, Ice Hockey, Field Hockey, Track and Field Field Hockey, Football, Wrestling, Swimming and Rugby

  • We currently provide access to box score, play-by-play, schedules and rankings data

Installation

You can install the development version of usportsR from GitHub with:

# install.packages("devtools")
devtools::install_github("uwaggs/usportsR")

Example

This is a basic example which shows you how to solve a common problem:

library(usportsR)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
## basic example to find number of 40+ point games in the last decade

mens_player_box_scores <- basketball_player_box_score("m",c(2023,2022,2021,2019,2018,2017,2016,2015,2014))
mens_40_pt_games <- mens_player_box_scores %>% filter(pts >= 40)
head(mens_40_pt_games,10)
#> # A tibble: 10 × 25
#>    player        min   fgm   fga three_pm three_pa   ftm   fta  oreb  dreb   reb
#>    <chr>       <int> <int> <int>    <int>    <int> <int> <int> <int> <int> <int>
#>  1 Brandon Me…    34    13    24       10       17     5     5     0     5     5
#>  2 Evan Shadk…    49    14    27        7       16     5     6     1     2     3
#>  3 Malcolm Ch…    39    14    26        8       17    15    15     1     1     2
#>  4 Keivonte W…    34    16    22        5        6     3     3     0     3     3
#>  5 Glen Cox       35    16    29        3        5    10    11     4     7    11
#>  6 Osman Omar     33    14    30        3        8    11    11     1     1     2
#>  7 Inaki Alva…    33    14    22        6        8     6     8     1     2     3
#>  8 Diego Maff…    40    13    26        5       13    11    11     0     7     7
#>  9 Mason Bour…    40    14    19        7       10     6     6     0    12    12
#> 10 Osman Omar     43    15    28        2       10     9    11     4     5     9
#> # ℹ 14 more variables: ast <int>, stl <int>, blk <int>, to <int>, pf <int>,
#> #   pts <int>, starter <int>, player_number <int>, player_links <chr>,
#> #   date <chr>, game_id <chr>, team_name <chr>, season <chr>, season_type <chr>
library(ggplot2)
## simple plot to illustrate points vs assists in 40+ point games in U SPORTS basketball games

ggplot(mens_40_pt_games,aes(x = pts,y = ast)) + geom_point() +
  labs(title = "Points Vs Assists in 40 point games", x = "Points",y = "Assists")