Load cleaned events log data from the volleydata repository.

Usage

load_events_log(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 events log data for the specified seasons.

Column Name	Type
match_id	int
season	int
match_datetime	chr
opening_set_coin_toss_winner	chr
opening_set_serving_team	chr
opening_set_left_side_team	chr
deciding_set_coin_toss_winner	chr
deciding_set_serving_team	chr
deciding_set_left_side_team	chr
set	int
set_start_time	chr
set_end_time	chr
set_duration	int
set_final_home_score	int
set_final_away_score	int
home_team_starter_position_1	int
home_team_starter_position_2	int
home_team_starter_position_3	int
home_team_starter_position_4	int
home_team_starter_position_5	int
home_team_starter_position_6	int
away_team_starter_position_1	int
away_team_starter_position_2	int
away_team_starter_position_3	int
away_team_starter_position_4	int
away_team_starter_position_5	int
away_team_starter_position_6	int
event_type	chr
event_time	chr
libero_enters	lgl
team_involved	chr
libero_jersey_number	int
libero_substitute_jersey_number	int
rally_start_time	chr
rally_end_time	chr
rally_point_winner	chr
substitute_in_jersey_number	int
substitute_out_jersey_number	int
challenge_approved	chr
challenge_reason	chr
challenge_method	chr
challenge_response	chr
challenge_at_home_score	dbl
challenge_at_away_score	dbl
challenge_score_change	chr
serving_team	chr
current_home_score	dbl
current_away_score	dbl
home_team_p1	dbl
home_team_p2	dbl
home_team_p3	dbl
home_team_p4	dbl
home_team_p5	dbl
home_team_p6	dbl
away_team_p1	dbl
away_team_p2	dbl
away_team_p3	dbl
away_team_p4	dbl
away_team_p5	dbl
away_team_p6	dbl
verified_time	chr
verified_method	chr
sanction_type	chr
sanction_remark	dbl
sanction_staff_role	chr
staff_first_name	chr
staff_last_name	chr
staff_type	chr
is_exceptional	chr
league	chr

Examples

try({load_events_log("mlv", 2024)})
#> # A tibble: 25,558 × 70
#>    match_id season match_datetime      opening_set_coin_toss_winner
#>       <dbl>  <dbl> <dttm>              <chr>                       
#>  1  2125309   2024 2024-03-24 23:00:00 away                        
#>  2  2125309   2024 2024-03-24 23:00:00 away                        
#>  3  2125309   2024 2024-03-24 23:00:00 away                        
#>  4  2125309   2024 2024-03-24 23:00:00 away                        
#>  5  2125309   2024 2024-03-24 23:00:00 away                        
#>  6  2125309   2024 2024-03-24 23:00:00 away                        
#>  7  2125309   2024 2024-03-24 23:00:00 away                        
#>  8  2125309   2024 2024-03-24 23:00:00 away                        
#>  9  2125309   2024 2024-03-24 23:00:00 away                        
#> 10  2125309   2024 2024-03-24 23:00:00 away                        
#> # ℹ 25,548 more rows
#> # ℹ 66 more variables: opening_set_serving_team <chr>,
#> #   opening_set_left_side_team <chr>, set <dbl>, set_start_time <dttm>,
#> #   set_end_time <dttm>, set_duration <dbl>, set_final_home_score <dbl>,
#> #   set_final_away_score <dbl>, home_team_starter_position_1 <dbl>,
#> #   home_team_starter_position_2 <dbl>, home_team_starter_position_3 <dbl>,
#> #   home_team_starter_position_4 <dbl>, home_team_starter_position_5 <dbl>, …