How to use rvolleydata

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How to use rvolleydata

Matthew Chow

2026-01-07

Overview

This vignette will outline how to use the functions in the rvolleydata package to access data from League One Volleyball Pro (LOVB), Athletes Unlimited Pro Volleyball (AU), and Major League Volleyball (MLV) leagues.

library(rvolleydata)
library(dplyr)

Installation

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

# install.packages("devtools")
devtools::install_github("awosoga/rvolleydata")

Usage

The following code snippets will provide information on how to access different volleyball league statistics. Each function has an identical signature where the user specifies their league of interest and the season(s).

Schedules

Use load_schedule to access league schedules.

schedule <- load_schedule("au", 2025)
glimpse(schedule)
#> Rows: 31
#> Columns: 10
#> $ season             <dbl> 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 202…
#> $ date               <date> 2025-09-29, 2025-09-29, 2025-09-29, 2025-09-29, 20…
#> $ home_team          <chr> "Team Bergmark", "Team Bergmark", "Team Bell", "Tea…
#> $ away_team          <chr> "Team Zilio Pereira", "Team Zilio Pereira", "Team H…
#> $ home_team_set_wins <dbl> 2, 0, 1, 0, 2, 1, 2, 0, 3, 1, 2, 2, 2, 1, 2, 3, 1, …
#> $ away_team_set_wins <dbl> 1, 0, 2, 0, 1, 2, 1, 3, 0, 2, 1, 1, 1, 2, 1, 0, 2, …
#> $ result             <chr> "2:1", "0:0", "1:2", "0:0", "2:1", "1:2", "2:1", "0…
#> $ match_id           <dbl> 2249762, 2249974, 2249761, 2249973, 2249760, 224975…
#> $ phase              <chr> "AU Test 2025", "AU Test 2025", "AU Test 2025", "AU…
#> $ league             <chr> "au", "au", "au", "au", "au", "au", "au", "au", "au…

Play-by-Play

Use load_pbp to access play-by-play data.

pbp <- load_pbp("lovb", 2025)
glimpse(pbp)
#> Rows: 73,416
#> Columns: 15
#> $ match_id       <dbl> 2161068, 2161068, 2161068, 2161068, 2161068, 2161068, 2…
#> $ season         <dbl> 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2…
#> $ match_datetime <dttm> 2025-01-09 00:30:00, 2025-01-09 00:30:00, 2025-01-09 0…
#> $ home_team_name <chr> "LOVB Atlanta", "LOVB Atlanta", "LOVB Atlanta", "LOVB A…
#> $ away_team_name <chr> "LOVB Salt Lake", "LOVB Salt Lake", "LOVB Salt Lake", "…
#> $ team_involved  <chr> "home", "away", "away", "away", "home", "home", "away",…
#> $ jersey_number  <dbl> 10, 17, 1, 11, 23, 77, 12, 10, 12, 1, 12, 1, 16, 10, 15…
#> $ action         <chr> "S", "R", "E", "A", "D", "E", "A", "S", "R", "E", "A", …
#> $ outcome        <chr> "-", "#", "+", "-", "#", "/", "=", "-", "+", "#", "#", …
#> $ set            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
#> $ point_number   <dbl> 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4…
#> $ point_winner   <chr> "home", "home", "home", "home", "home", "home", "home",…
#> $ home_score     <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2…
#> $ away_score     <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2…
#> $ league         <chr> "lovb", "lovb", "lovb", "lovb", "lovb", "lovb", "lovb",…

Officials

Use load_officials to access officials data.

officials <- load_officials("mlv", 2025)
glimpse(officials)
#> Rows: 368
#> Columns: 9
#> $ match_id       <dbl> 2160917, 2160917, 2160917, 2160917, 2160918, 2160918, 2…
#> $ season         <dbl> 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2…
#> $ match_datetime <dttm> 2025-01-11 01:00:00, 2025-01-11 01:00:00, 2025-01-11 0…
#> $ officials_type <chr> "referee1", "referee2", "scorer1", "scorer2", "referee1…
#> $ full_name      <chr> "Bill Stanley", "Suzanne Lowry", "Nicole Conway", "Kaci…
#> $ first_name     <chr> "Bill", "Suzanne", "Nicole", "Kacie", "LANDRY", "DEVONI…
#> $ last_name      <chr> "Stanley", "Lowry", "Conway", "Hoppe", "HOMSHER", "MCLA…
#> $ level          <chr> "AAA", "AAA", "A", "A", "USA", "USA", "USA", "USA", "PV…
#> $ league         <chr> "mlv", "mlv", "mlv", "mlv", "mlv", "mlv", "mlv", "mlv",…

Player Information

Use load_player_info to access player information.

player_info <- load_player_info("au", 2025)
glimpse(player_info)
#> Rows: 682
#> Columns: 29
#> $ match_id                <dbl> 2249759, 2249759, 2249759, 2249759, 2249759, 2…
#> $ season                  <dbl> 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025…
#> $ match_datetime          <dttm> 2025-09-28 21:00:00, 2025-09-28 21:00:00, 202…
#> $ player_id               <dbl> 1127, 997, 1117, 993, 1124, 986, 996, 1196, 76…
#> $ player_name             <chr> "Guedpard Pornpun", "Emily Thater", "Serena Gr…
#> $ first_name              <chr> "Guedpard", "Emily", "Serena", "Manami", "Tess…
#> $ last_name               <chr> "Pornpun", "Thater", "Gray", "Kojima", "Grubbs…
#> $ jersey_number           <dbl> 3, 14, 15, 16, 17, 18, 19, 30, 31, 42, 81, 2, …
#> $ primary_position        <dbl> 5, 4, 4, 1, 3, 3, 2, 2, 5, 4, 2, 5, 4, 2, 5, 2…
#> $ roster_status           <chr> "active", "active", "active", "active", "activ…
#> $ is_foreign              <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALS…
#> $ is_confederation        <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALS…
#> $ is_captain              <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE…
#> $ is_libero               <lgl> FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE…
#> $ set_1_is_starter        <lgl> TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, TRUE, FA…
#> $ set_1_starting_position <dbl> 1, 6, 3, NA, NA, 4, 5, NA, NA, NA, 2, 1, 6, NA…
#> $ set_2_is_starter        <lgl> TRUE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, …
#> $ set_2_starting_position <dbl> 1, 6, NA, NA, NA, 4, NA, 5, NA, 3, 2, NA, 4, 6…
#> $ set_3_is_starter        <lgl> FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, …
#> $ set_3_starting_position <dbl> NA, NA, 6, NA, 4, NA, 5, 2, 1, 3, NA, NA, NA, …
#> $ set_4_is_starter        <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ set_4_starting_position <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ set_5_is_starter        <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ set_5_starting_position <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ team_name               <chr> "Team Bell", "Team Bell", "Team Bell", "Team B…
#> $ team_short_name         <chr> "ORA", "ORA", "ORA", "ORA", "ORA", "ORA", "ORA…
#> $ team_code               <chr> "602", "602", "602", "602", "602", "602", "602…
#> $ team_color              <chr> "cadmiumOrange", "cadmiumOrange", "cadmiumOran…
#> $ league                  <chr> "au", "au", "au", "au", "au", "au", "au", "au"…

Team Staff

Use load_team_staff to access team staff data.

team_staff <- load_team_staff("lovb", 2025)
glimpse(team_staff)
#> Rows: 242
#> Columns: 9
#> $ match_id       <dbl> 2161068, 2161068, 2161068, 2161068, 2161068, 2161068, 2…
#> $ season         <dbl> 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2…
#> $ match_datetime <dttm> 2025-01-09 00:30:00, 2025-01-09 00:30:00, 2025-01-09 0…
#> $ team_name      <chr> "LOVB Atlanta", "LOVB Atlanta", "LOVB Atlanta", "LOVB S…
#> $ staff_type     <chr> "coach", "assistant", "assistant", "coach", "assistant"…
#> $ full_name      <chr> "Paulo Coco", "Yoko Zetterlund", "Angela Gonzalez", "Ta…
#> $ first_name     <chr> "Paulo", "Yoko", "Angela", "Tama", "Bruno", "Kolin", "M…
#> $ last_name      <chr> "Coco", "Zetterlund", "Gonzalez", "Miyashiro", "Chateau…
#> $ league         <chr> "lovb", "lovb", "lovb", "lovb", "lovb", "lovb", "lovb",…

Events Log

Use load_events_log to access events log data.

events_log <- load_events_log("mlv", 2025)
glimpse(events_log)
#> Rows: 36,784
#> Columns: 52
#> $ match_id                        <dbl> 2160916, 2160916, 2160916, 2160916, 21…
#> $ season                          <dbl> 2025, 2025, 2025, 2025, 2025, 2025, 20…
#> $ match_datetime                  <dttm> 2025-01-10, 2025-01-10, 2025-01-10, 2…
#> $ set                             <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
#> $ set_start_time                  <dttm> 2025-01-09 23:49:00, 2025-01-09 23:49…
#> $ set_end_time                    <dttm> 2025-01-10 00:29:00, 2025-01-10 00:29…
#> $ set_duration                    <dbl> 39, 39, 39, 39, 39, 39, 39, 39, 39, 39…
#> $ set_final_home_score            <dbl> 25, 25, 25, 25, 25, 25, 25, 25, 25, 25…
#> $ set_final_away_score            <dbl> 18, 18, 18, 18, 18, 18, 18, 18, 18, 18…
#> $ event_type                      <chr> "libero", "libero", "rally", "libero",…
#> $ event_time                      <dttm> 2025-01-10 00:04:42, 2025-01-10 00:04…
#> $ libero_enters                   <lgl> TRUE, TRUE, NA, FALSE, NA, FALSE, TRUE…
#> $ team_involved                   <chr> "home", "away", NA, "away", NA, "home"…
#> $ libero_jersey_number            <dbl> 5, 2, NA, 2, NA, 5, 2, NA, 5, NA, NA, …
#> $ libero_substitute_jersey_number <dbl> 11, 7, NA, 7, NA, 11, 26, NA, 15, NA, …
#> $ rally_start_time                <dttm> NA, NA, 2025-01-10 00:05:12, NA, 2025…
#> $ rally_end_time                  <dttm> NA, NA, 2025-01-10 00:05:26, NA, 2025…
#> $ rally_point_winner              <chr> NA, NA, "away", NA, "home", NA, NA, "a…
#> $ substitute_in_jersey_number     <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ substitute_out_jersey_number    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ challenge_approved              <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ challenge_reason                <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ challenge_method                <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ challenge_response              <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ challenge_at_home_score         <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ challenge_at_away_score         <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ challenge_score_change          <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ serving_team                    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ current_home_score              <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ current_away_score              <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ home_team_p1                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ home_team_p2                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ home_team_p3                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ home_team_p4                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ home_team_p5                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ home_team_p6                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ away_team_p1                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ away_team_p2                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ away_team_p3                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ away_team_p4                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ away_team_p5                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ away_team_p6                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ verified_time                   <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ verified_method                 <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ sanction_type                   <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ sanction_remark                 <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ sanction_staff_role             <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ staff_first_name                <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ staff_last_name                 <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ staff_type                      <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ is_exceptional                  <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ league                          <chr> "mlv", "mlv", "mlv", "mlv", "mlv", "ml…

Player Boxscores

Use load_player_boxscore to access player boxscore data.

player_boxscores <- load_player_boxscore("au", 2025)
glimpse(player_boxscores)
#> Rows: 1,563
#> Columns: 37
#> $ match_id                 <dbl> 2249759, 2249759, 2249759, 2249759, 2249759, …
#> $ season                   <dbl> 2025, 2025, 2025, 2025, 2025, 2025, 2025, 202…
#> $ match_datetime           <dttm> 2025-09-28 21:00:00, 2025-09-28 21:00:00, 20…
#> $ team_involved            <chr> "home", "home", "home", "home", "home", "home…
#> $ team_name                <chr> "Team Bell", "Team Bell", "Team Bell", "Team …
#> $ player_name              <chr> "Serena Gray", "Serena Gray", "Serena Gray", …
#> $ first_name               <chr> "Serena", "Serena", "Serena", "Manami", "Mana…
#> $ last_name                <chr> "Gray", "Gray", "Gray", "Kojima", "Kojima", "…
#> $ sets_played              <dbl> 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 2, 2, 3, 3, …
#> $ player_number            <dbl> 15, 15, 15, 16, 16, 16, 19, 19, 19, 3, 3, 81,…
#> $ is_captain               <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FAL…
#> $ is_libero                <lgl> FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE,…
#> $ set_number               <dbl> 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 1, 2, 1, 2, …
#> $ set_starting_position    <chr> "3", NA, "6", "*", "*", "*", "5", NA, "5", "1…
#> $ serves                   <dbl> 6, NA, 3, 0, 0, 0, 2, NA, 2, 5, 5, 7, 3, NA, …
#> $ serve_errors             <dbl> 2, NA, 0, 0, 0, 0, 0, NA, 0, 0, 0, 1, 2, NA, …
#> $ serve_aces               <dbl> 1, NA, 1, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, NA, …
#> $ serve_efficiency         <dbl> -0.167, NA, 0.667, NA, NA, NA, 0.000, NA, 0.5…
#> $ attack_attempts          <dbl> 2, NA, 3, 0, 0, 0, 6, NA, 13, 0, 0, 7, 8, NA,…
#> $ attack_errors            <dbl> 0, NA, 0, 0, 0, 0, 0, NA, 3, 0, 0, 0, 0, NA, …
#> $ attack_kills             <dbl> 2, NA, 1, 0, 0, 0, 3, NA, 1, 0, 0, 3, 1, NA, …
#> $ attack_success_ratio     <dbl> 1.00, NA, 0.33, NA, NA, NA, 0.50, NA, 0.08, N…
#> $ attack_efficiency        <dbl> 1.000, NA, 0.333, NA, NA, NA, 0.500, NA, -0.2…
#> $ receptions               <dbl> 0, NA, 2, 0, 2, 1, 5, NA, 7, 0, 0, 7, 12, NA,…
#> $ reception_errors         <dbl> 0, NA, 1, 0, 0, 1, 0, NA, 2, 0, 0, 0, 1, NA, …
#> $ positive_reception_ratio <dbl> NA, NA, 0.50, NA, 0.50, 0.00, 0.80, NA, 0.14,…
#> $ perfect_reception_ratio  <dbl> NA, NA, 0.00, NA, 0.50, 0.00, 0.20, NA, 0.14,…
#> $ block_points             <dbl> 2, NA, 1, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, NA, …
#> $ block_touches            <dbl> 0, NA, 3, 0, 0, 0, 0, NA, 0, 0, 0, 0, 1, NA, …
#> $ earned_points            <dbl> 5, NA, 3, 0, 0, 0, 3, NA, 1, 0, 0, 3, 1, NA, …
#> $ net_points               <dbl> 3, NA, 2, 0, 0, -1, 3, NA, -4, 0, 0, 2, -2, N…
#> $ assists                  <dbl> 0, NA, 0, 1, 0, 0, 0, NA, 0, 12, 8, 0, 0, NA,…
#> $ successful_digs          <dbl> 0, NA, 3, 3, 4, 4, 0, NA, 1, 3, 3, 0, 1, NA, …
#> $ id                       <chr> "68d99179b1659f25ae13f696", "68d99179b1659f25…
#> $ spike_hp                 <dbl> 0, NA, 0, 0, 0, 0, 0, NA, 1, 0, 0, 0, 1, NA, …
#> $ points                   <dbl> 3, NA, 1, 0, 0, 0, 0, NA, 1, 0, 0, 1, 0, NA, …
#> $ league                   <chr> "au", "au", "au", "au", "au", "au", "au", "au…

Team Boxscores

Use load_team_boxscore to access team boxscore data.

team_boxscores <- load_team_boxscore("mlv", 2025)
glimpse(team_boxscores)
#> Rows: 918
#> Columns: 29
#> $ match_id                 <dbl> 2160916, 2160916, 2160916, 2160916, 2160916, …
#> $ season                   <dbl> 2025, 2025, 2025, 2025, 2025, 2025, 2025, 202…
#> $ match_datetime           <dttm> 2025-01-10 00:00:00, 2025-01-10 00:00:00, 20…
#> $ team_involved            <chr> "home", "home", "home", "away", "away", "away…
#> $ team_name                <chr> "Orlando Valkyries", "Orlando Valkyries", "Or…
#> $ set_number               <dbl> 1, 2, 3, 1, 2, 3, 1, 2, 3, 4, 5, 1, 2, 3, 4, …
#> $ serves                   <dbl> 25, 24, 26, 18, 19, 22, 22, 25, 22, 25, 15, 2…
#> $ serve_errors             <dbl> 1, 2, 5, 5, 4, 1, 4, 2, 1, 3, 1, 5, 1, 3, 2, …
#> $ serve_aces               <dbl> 1, 2, 1, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, …
#> $ serve_efficiency         <dbl> 0.040, 0.000, -0.154, -0.222, -0.211, 0.136, …
#> $ attack_attempts          <dbl> 27, 37, 52, 38, 38, 50, 46, 37, 40, 41, 23, 4…
#> $ attack_errors            <dbl> 2, 0, 3, 2, 3, 7, 5, 4, 0, 4, 1, 4, 4, 2, 3, …
#> $ attack_kills             <dbl> 14, 15, 15, 14, 15, 10, 13, 12, 9, 15, 11, 13…
#> $ attack_success_ratio     <dbl> 0.52, 0.41, 0.29, 0.37, 0.39, 0.20, 0.28, 0.3…
#> $ attack_efficiency        <dbl> 0.407, 0.378, 0.231, 0.237, 0.289, 0.040, 0.1…
#> $ receptions               <dbl> 13, 15, 21, 24, 22, 21, 20, 18, 22, 20, 12, 1…
#> $ reception_errors         <dbl> 0, 0, 1, 1, 2, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, …
#> $ positive_reception_ratio <dbl> 0.46, 0.47, 0.48, 0.46, 0.55, 0.43, 0.45, 0.2…
#> $ perfect_reception_ratio  <dbl> 0.23, 0.33, 0.29, 0.08, 0.23, 0.33, 0.10, 0.1…
#> $ block_points             <dbl> 3, 1, 1, 1, 1, 0, 0, 6, 4, 3, 0, 1, 2, 7, 1, …
#> $ block_touches            <dbl> 5, 2, 3, 1, 8, 5, 6, 6, 2, 3, 2, 4, 4, 5, 3, …
#> $ earned_points            <dbl> 18, 18, 17, 15, 16, 11, 13, 19, 15, 18, 11, 1…
#> $ net_points               <dbl> 15, 16, 7, 7, 7, 2, 4, 12, 13, 10, 9, 5, 7, 1…
#> $ assists                  <dbl> 12, 14, 14, 14, 14, 10, 12, 10, 9, 14, 11, 13…
#> $ successful_digs          <dbl> 15, 15, 29, 9, 19, 31, 23, 18, 20, 16, 12, 23…
#> $ id                       <chr> "6780447a19c53e576a0e9ec0", "6780447a19c53e57…
#> $ spike_hp                 <dbl> 1, 1, 0, 3, 1, 1, 1, 2, 7, 1, 0, 0, 6, 4, 3, …
#> $ points                   <dbl> 8, 8, 5, 1, 4, 4, 4, 9, 6, 6, 3, 4, 5, 10, 4,…
#> $ league                   <chr> "mlv", "mlv", "mlv", "mlv", "mlv", "mlv", "ml…

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.