The {provolleyballr}
R package provides tools for scraping match statistics and player data
from Athletes
Unlimited, League One Volleyball
(LOVB) and Major League
Volleyball (MLV) (formerly the Pro Volleyball Federation)
websites.
You can install the development version of provolleyballr from GitHub with:
# install.packages("devtools")
devtools::install_github("JeffreyRStevens/provolleyballr")This package requires:
{selenider}
R package for web automationlibrary(provolleyballr)The package includes information about all LOVB and MLV teams:
# View available teams
lovb_teams
#> name slug first_year
#> 1 Atlanta atlanta 2025
#> 2 Austin austin 2025
#> 3 Houston houston 2025
#> 4 Madison madison 2025
#> 5 Nebraska nebraska 2025
#> 6 Omaha omaha 2025
#> 7 Salt Lake salt-lake 2025
mlv_teams
#> city mascot name slug first_year
#> 1 Atlanta Vibe Atlanta Vibe atlanta-vibe 2024
#> 2 Columbus Fury Columbus Fury columbus-fury 2024
#> 3 Dallas Pulse Dallas Pulse dallas-pulse 2026
#> 4 Grand Rapids Rise Grand Rapids Rise grand-rapids-rise 2024
#> 5 Indy Ignite Indy Ignite indy-ignite 2025
#> 6 Omaha Supernovas Omaha Supernovas omaha-supernovas 2024
#> 7 Orlando Valkyries Orlando Valkyries orlando-valkyries 2024
#> 8 San Diego Mojo San Diego Mojo san-diego-mojo 2024
#> 9 Vegas Thrill Vegas Thrill vegas-thrill 2024Use get_stats() to retrieve team or individual player
statistics from a particular league:
# Get team match statistics for Omaha Supernovas in 2024
get_stats(league = "MLV", team = "Omaha", year = 2025, level = "team")
#> # A tibble: 28 × 15
#> year team date opponent result kills assists service_aces blocks out
#> <int> <chr> <chr> <chr> <chr> <int> <int> <int> <int> <int>
#> 1 2025 Omaha 01/10/20… vsAtlan… W 60 56 3 13 48
#> 2 2025 Omaha 01/12/20… atGrand… W 55 47 2 4 38
#> 3 2025 Omaha 01/17/20… atVegas… L 51 48 3 14 42
#> 4 2025 Omaha 01/19/20… vsSan D… L 62 54 1 5 46
#> 5 2025 Omaha 01/24/20… atColum… W 38 34 5 9 24
#> 6 2025 Omaha 01/31/20… vsColum… W 32 31 1 13 26
#> 7 2025 Omaha 02/02/20… atOrlan… L 31 31 2 5 23
#> 8 2025 Omaha 02/06/20… atIndy … W 44 43 4 11 35
#> 9 2025 Omaha 02/08/20… atAtlan… W 54 49 0 9 38
#> 10 2025 Omaha 02/16/20… vsSan D… W 42 39 2 10 28
#> # ℹ 18 more rows
#> # ℹ 5 more variables: attack_attempts <int>, hitting_efficiency <dbl>,
#> # digs <int>, digs_per_set <dbl>, sets_played <int>
# Get individual player statistics
get_stats(league = "MLV", team = "Omaha", year = 2025, level = "player")
#> # A tibble: 15 × 23
#> year team number player sets_played matches_played points points_per_set
#> <int> <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 2025 Omaha 1 Valentin… 91 28 56 0.62
#> 2 2025 Omaha 4 Vazquez … 1 1 0 0
#> 3 2025 Omaha 5 Nunevill… 101 28 413 4.09
#> 4 2025 Omaha 6 Wait, Ke… 10 6 2 0.2
#> 5 2025 Omaha 8 Cooper, … 76 25 291 3.83
#> 6 2025 Omaha 9 Podraza,… 33 15 24 0.73
#> 7 2025 Omaha 10 Gómez, C… 90 26 0 0
#> 8 2025 Omaha 11 Payne, K… 73 24 203 2.78
#> 9 2025 Omaha 14 Batenhor… 44 17 136 3.09
#> 10 2025 Omaha 17 Awoleye,… 25 11 43 1.72
#> 11 2025 Omaha 20 Holder, … 33 13 0 0
#> 12 2025 Omaha 22 Krause, … 50 22 11 0.22
#> 13 2025 Omaha 23 Hord, Ka… 93 27 191 2.05
#> 14 2025 Omaha 27 Londot, … 46 21 160 3.48
#> 15 2025 Omaha 28 Caffey, … 82 25 173 2.11
#> # ℹ 15 more variables: kills <dbl>, kills_per_set <dbl>, attack_errors <dbl>,
#> # attack_attempts <dbl>, hitting_efficiency <dbl>, assists <dbl>,
#> # assists_per_set <dbl>, service_aces <dbl>, service_aces_per_set <dbl>,
#> # serive_errors <dbl>, service_errors_per_set <dbl>, digs <dbl>,
#> # digs_per_set <dbl>, blocks <dbl>, blocks_per_set <dbl>Or use the league-specific functions for AU, LOVB, and MLV using
au_stats(), lovb_stats(), and
mlv_stats() respectively. For player data, AU only needs a
year, and LOVB and MLV need the team name and
level = "player".
au_stats(year = 2025)
lovb_stats(team = "Omaha", year = 2025, level = "player")
mlv_stats(team = "Omaha", year = 2025, level = "player")To get team data for LOVB and MLV, use lovb_stats() and
mlv_stats() respectively with
level = "team".
lovb_stats(team = "Omaha", year = 2025, level = "team")
mlv_stats(team = "Omaha", year = 2025, level = "team")The package includes five main datasets created with the
group_stats() function using data: player season data from
AU (2021-2025) and player season and team match data for AU, LOVB, and
MLV (2024-2025).
# Load AU individual player data
head(au_player_data)
#> # A tibble: 6 × 25
#> year rank player points sets_played kills kills_per_set attack_errors
#> <int> <int> <chr> <int> <int> <dbl> <dbl> <dbl>
#> 1 2021 1 Larson, Jord… 4569 45 213 4.73 79
#> 2 2021 2 De La Cruz-M… 3690 45 193 4.29 51
#> 3 2021 3 King, Brie 3675 45 20 0.44 3
#> 4 2021 4 Cruz, Aury 3582 42 171 4.07 54
#> 5 2021 5 Lowe, Karsta 3566 45 230 5.11 74
#> 6 2021 6 McClendon, D… 3127 44 118 2.68 58
#> # ℹ 17 more variables: attack_attempts <dbl>, kill_percentage <dbl>,
#> # assists <dbl>, assists_per_set <dbl>, setting_errors <dbl>,
#> # service_aces <dbl>, service_errors <dbl>, service_aces_per_set <dbl>,
#> # total_reception_attempts <dbl>, reception_errors <dbl>,
#> # positive_reception_percentage <dbl>, digs <dbl>, digs_per_set <dbl>,
#> # blocks <dbl>, blocks_per_set <dbl>, block_assists <dbl>,
#> # good_receptions <dbl>
# Load LOVB individual player data
head(lovb_player_data)
#> year team number player points matches_started sets_started
#> 1 2025 Atlanta 8 Kayla Haneline 47 5 20
#> 2 2025 Atlanta 3 Marta Bechis 0 0 0
#> 3 2025 Atlanta 23 Kelsey Cook 198 16 66
#> 4 2025 Atlanta 10 Madi Bugg 24 9 36
#> 5 2025 Atlanta 9 Iga Wasilewska 1 1 1
#> 6 2025 Atlanta 17 Tessa Grubbs 103 5 20
#> sets_played hitting_efficiency kill_percentage kills attack_errors
#> 1 23 0.350 48.3 29 6
#> 2 11 0.000 0.0 0 0
#> 3 66 0.220 33.5 166 32
#> 4 59 0.304 39.1 9 2
#> 5 2 0.333 33.3 1 0
#> 6 29 0.293 45.5 87 23
#> attacks_blocked attack_attempts in_system_percentage reception_errors
#> 1 2 60 50 0
#> 2 0 0 0 0
#> 3 25 495 60 13
#> 4 0 23 0 0
#> 5 0 3 0 0
#> 6 8 191 100 0
#> reception_attempts service_aces service_errors opponent_in_system_percentage
#> 1 8 8 10 33.8
#> 2 0 0 2 50.0
#> 3 270 19 19 42.5
#> 4 1 8 10 39.8
#> 5 0 0 0 50.0
#> 6 1 7 20 20.8
#> service_attempts blocks block_touch_percentage digs dig_percentage assists
#> 1 71 10 38.3 8 80.0 1
#> 2 8 0 100.0 2 66.7 13
#> 3 287 13 47.5 218 87.9 17
#> 4 191 7 49.0 125 82.8 397
#> 5 2 0 0.0 0 0.0 0
#> 6 53 9 59.4 35 92.1 0
#> setting_efficiency
#> 1 0.000
#> 2 0.000
#> 3 0.164
#> 4 0.246
#> 5 0.000
#> 6 -0.400
# Load LOVB team match data
head(lovb_team_data)
#> year team opponent date points hitting_efficiency kill_percentage
#> 1 2025 Atlanta Salt Lake 01/08/2025 65 0.236 35.7
#> 2 2025 Atlanta Austin 01/15/2025 77 0.236 41.9
#> 3 2025 Atlanta Madison 01/25/2025 86 0.288 41.3
#> 4 2025 Atlanta Salt Lake 01/31/2025 64 0.367 46.8
#> 5 2025 Atlanta Omaha 02/01/2025 77 0.203 39.2
#> 6 2025 Atlanta Salt Lake 02/07/2025 79 0.306 49.6
#> kills attack_errors attacks_blocked attack_attempts in_system_percentage
#> 1 50 10 7 140 50.0
#> 2 62 18 9 148 63.1
#> 3 66 12 8 160 52.7
#> 4 51 8 3 109 45.9
#> 5 62 17 13 158 58.8
#> 6 60 17 6 121 50.7
#> reception_errors reception_attempts service_aces service_errors
#> 1 1 78 4 6
#> 2 4 84 5 13
#> 3 5 93 9 16
#> 4 4 61 6 9
#> 5 2 80 7 10
#> 6 0 71 10 12
#> opponent_in_system_percentage service_attempts blocks block_touch_percentage
#> 1 46.2 93 11 32.8
#> 2 33.3 93 10 41.8
#> 3 37.9 103 11 40.3
#> 4 36.5 74 7 52.2
#> 5 42.1 95 8 55.6
#> 6 38.1 97 9 47.7
#> digs dig_percentage assists setting_efficiency
#> 1 66 76.7 47 0.237
#> 2 64 84.2 62 0.250
#> 3 71 86.6 62 0.275
#> 4 48 84.2 48 0.369
#> 5 55 80.9 58 0.192
#> 6 49 86.0 58 0.308
# Load MLV individual player data
head(mlv_player_data)
#> # A tibble: 6 × 23
#> year team number player sets_played matches_played points points_per_set
#> <int> <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 2024 Atlanta NA Edmond,… 89 24 438 4.92
#> 2 2024 Atlanta NA Wade, G… 29 11 71 2.45
#> 3 2024 Atlanta NA Nwokolo… 0 0 0 0
#> 4 2024 Atlanta 1 Member-… 67 22 185 2.76
#> 5 2024 Atlanta 3 Fanning… 87 24 230 2.64
#> 6 2024 Atlanta 7 Lazarev… 59 17 278 4.71
#> # ℹ 15 more variables: kills <dbl>, kills_per_set <dbl>, attack_errors <dbl>,
#> # attack_attempts <dbl>, hitting_efficiency <dbl>, assists <dbl>,
#> # assists_per_set <dbl>, service_aces <dbl>, service_aces_per_set <dbl>,
#> # serive_errors <dbl>, service_errors_per_set <dbl>, digs <dbl>,
#> # digs_per_set <dbl>, blocks <dbl>, blocks_per_set <dbl>
# Load MLV team match data
head(mlv_team_data)
#> # A tibble: 6 × 15
#> year team date opponent result kills assists service_aces blocks out
#> <int> <chr> <chr> <chr> <chr> <int> <int> <int> <int> <int>
#> 1 2024 Atlanta 01/24/2… atOmaha… W 62 58 2 16 49
#> 2 2024 Atlanta 01/26/2… atOrlan… W 52 46 5 13 39
#> 3 2024 Atlanta 02/01/2… vsSan D… W 43 40 6 9 28
#> 4 2024 Atlanta 02/09/2… vsGrand… L 52 52 2 9 43
#> 5 2024 Atlanta 02/12/2… vsOrlan… W 60 54 6 16 49
#> 6 2024 Atlanta 02/18/2… atGrand… L 66 62 3 11 48
#> # ℹ 5 more variables: attack_attempts <int>, hitting_efficiency <dbl>,
#> # digs <int>, digs_per_set <dbl>, sets_played <int>These datasets are also directly available for download as CSV files:
Full definitions available at LOVB League Statistics and MLV Statistics Guide.
year: Season yearteam: Player’s team namenumber: Player jersey numberplayer: Player namepoints: Total Pointsmatches_started: Matches Startedsets_started: Sets Startedsets_played: Sets Playedhitting_efficiency: Attack Efficiency percentagekill_percentage: Kill percentagekills: Kills - successful attacksattack_errors: Attack Errorsattacks_blocked: Attacks blocked by opponentattack_attempts: Total attack attemptsin_system_percentage: In-system percentagereception_errors: Reception errorsreception_attempts: Reception attemptsservice_aces: Service Aces - serves that result
directly in a pointservice_errors: Service errorsopponent_in_system_percentage: Opponent in-system
percentageservice_attempts: Service attemptsblocks: Blocks - successful defensive plays at the
netblock_touch_percentage: Block touch percentagedigs: Digs - successful defensive playsdig_percentage: Dig percentageassists: Assists - sets that lead directly to a
killsetting_efficiency: Setting efficiency percentageyear: Season yearteam: Team nameopponent: Opposing team namedate: Match datepoints: Points scoredhitting_efficiency: Attack efficiency percentagekill_percentage: Kill percentagekills: Successful attacksattack_errors: Attack errorsattacks_blocked: Attacks blocked by opponentattack_attempts: Total attack attemptsin_system_percentage: In-system percentagereception_errors: Reception errorsreception_attempts: Reception attemptsservice_aces: Service acesservice_errors: Service errorsopponent_in_system_percentage: Opponent in-system
percentageservice_attempts: Service attemptsblocks: Blocksblock_touch_percentage: Block touch percentagedigs: Successful defensive playsdig_percentage: Dig percentageassists: Assistssetting_efficiency: Setting efficiency percentageyear: Season yearteam: Player’s team namenumber: Player jersey numberplayer: Player namepoints: Total pointsmatches_started: Matches startedsets_started: Sets startedsets_played: Sets playedhitting_efficiency: Attack efficiency percentagekill_percentage: Kill percentagekills: Successful attacksattack_errors: Attack errorsattacks_blocked: Attacks blocked by opponentattack_attempts: Total attack attemptsin_system_percentage: In-system percentagereception_errors: Reception errorsreception_attempts: Reception attemptsservice_aces: Service acesservice_errors: Service errorsopponent_in_system_percentage: Opponent in-system
percentageservice_attempts: Service attemptsblocks: Blocksblock_touch_percentage: Block touch percentagedigs: Successful defensive playsdig_percentage: Dig percentageassists: Assistssetting_efficiency: Setting efficiency percentageyear: Season yearteam: Team namedate: Match dateopponent: Opposing team nameresult: Win/Loss resultkills: Successful attacksassists: Assistsservice_aces: Service acesblocks: Blocksout: [Definition pending]attack_attempts: Total attack attemptshitting_efficiency: Attack efficiency percentagedigs: Successful defensive playsdigs_per_set: Digs per setsets_played: Sets played in matchyear: Season yearteam: Player’s team namenumber: Player jersey numberplayer: Player namesets_played: Sets playedmatches_played: Matches playedpoints: Total pointspoints_per_set: Points per setkills: Successful attackskills_per_set: Kills per setattack_errors: Attack errorsattack_attempts: Total attack attemptshitting_efficiency: Attack efficiency percentageassists: Assistsassists_per_set: Assists per setservice_aces: Service acesservice_aces_per_set: Service aces per setservice_errors: Service errorsservice_errors_per_set: Service errors per setdigs: Successful defensive playsdigs_per_set: Digs per setblocks: Blocksblocks_per_set: Blocks per setPlease report bugs and suggest features on GitHub Issues.
To cite {provolleyballr},
use:
Stevens JR (2026). Extract Data from US Women’s Professional Volleyball Websites. R package version 0.1.0, https://github.com/JeffreyRStevens/provolleyballr.
This package is licensed under the MIT License. See
LICENSE file for details.
This package scrapes data from the official Athletes Unlimited, League One Volleyball and Major League Volleyball websites. Please use responsibly and in accordance with the websites’ terms of service.
Many thanks to Bill Petti
for making the code for NCAA stats extraction freely available in the {baseballr}
package.
The volleyball background in the logo was designed by Freepik.
This package was developed with the assistance of Claude Sonnet 4.