Load cleaned play-by-play data form the volleydata repository.

Usage

load_pbp(league = NULL, seasons = NULL)

Arguments

league: A string specifying which of "mlv", "lovb", or "au" to load data for.
seasons: An integer or vector of integers of seasons to fetch data for. Defaults to all available seasons.

Value

A data frame containing the play-by-play data for the specified seasons.

Column Name	Type
match_id	int
season	int
match_datetime	chr
home_team_name	chr
away_team_name	chr
team_involved	chr
jersey_number	int
action	chr
outcome	chr
set	int
point_number	int
point_winner	chr
home_score	int
away_score	int
rally_length	int

Examples

try({load_pbp("mlv", 2024)})
#> # A tibble: 107,849 × 15
#>    match_id season match_datetime      home_team_name   away_team_name
#>       <dbl>  <dbl> <dttm>              <chr>            <chr>         
#>  1  2125267   2024 2024-01-25 01:00:00 Omaha Supernovas Atlanta Vibe  
#>  2  2125267   2024 2024-01-25 01:00:00 Omaha Supernovas Atlanta Vibe  
#>  3  2125267   2024 2024-01-25 01:00:00 Omaha Supernovas Atlanta Vibe  
#>  4  2125267   2024 2024-01-25 01:00:00 Omaha Supernovas Atlanta Vibe  
#>  5  2125267   2024 2024-01-25 01:00:00 Omaha Supernovas Atlanta Vibe  
#>  6  2125267   2024 2024-01-25 01:00:00 Omaha Supernovas Atlanta Vibe  
#>  7  2125267   2024 2024-01-25 01:00:00 Omaha Supernovas Atlanta Vibe  
#>  8  2125267   2024 2024-01-25 01:00:00 Omaha Supernovas Atlanta Vibe  
#>  9  2125267   2024 2024-01-25 01:00:00 Omaha Supernovas Atlanta Vibe  
#> 10  2125267   2024 2024-01-25 01:00:00 Omaha Supernovas Atlanta Vibe  
#> # ℹ 107,839 more rows
#> # ℹ 10 more variables: team_involved <chr>, jersey_number <dbl>, action <chr>,
#> #   outcome <chr>, set <dbl>, point_number <dbl>, point_winner <chr>,
#> #   home_score <dbl>, away_score <dbl>, league <chr>