Load cleaned women's college basketball play-by-play from the data repo
Source:R/load_wbb.R
load_wbb_game_rosters.Rdhelper that loads multiple seasons from the data repo either into memory or writes it into a db using some forwarded arguments in the dots
helper that loads multiple seasons from the data repo either into memory or writes it into a db using some forwarded arguments in the dots
helper that loads multiple seasons from the data repo either into memory or writes it into a db using some forwarded arguments in the dots
helper that loads multiple seasons from the data repo either into memory or writes it into a db using some forwarded arguments in the dots
load_wbb_rosters_manifest() returns the per-season manifest
CSV (columns: season, row_count, generated_at_utc,
source_endpoint) describing which seasons are currently published to
the release tag, without downloading any season's full data.
load_wbb_player_stats_manifest() returns the per-season
manifest CSV (season, row_count, generated_at_utc,
source_endpoint) for the player season stats release tag without
downloading any season's full data.
load_wbb_team_stats_manifest() returns the per-season
manifest CSV (season, row_count, generated_at_utc,
source_endpoint) for the team season stats release tag without
downloading any season's full data.
load_wbb_standings_manifest() returns the per-season
manifest CSV (season, row_count, generated_at_utc,
source_endpoint) for the standings release tag without downloading
any season's full data.
load_wbb_shots_manifest() returns the per-season manifest
CSV (season, row_count, generated_at_utc, source_endpoint) for
the shots release tag without downloading any season's full data.
load_wbb_game_rosters_manifest() returns the per-season
manifest CSV (season, row_count, generated_at_utc,
source_endpoint) for the game rosters release tag without downloading
any season's full data.
load_wbb_officials_manifest() returns the per-season
manifest CSV (season, row_count, generated_at_utc,
source_endpoint) for the officials release tag without downloading
any season's full data.
Loads season-level team rosters scraped from ESPN. One row per
athlete-team-season triple. Backed by the wehoop-wbb-data pipeline that
reads raw JSONs from wehoop-wbb-raw and publishes parquet/rds artifacts
to the espn_womens_college_basketball_rosters release tag.
Loads season-level player statistics scraped from ESPN. One row
per athlete-team-season-statistic-grouping. Backed by the wehoop-wbb-data
pipeline that reads raw JSONs from wehoop-wbb-raw and publishes
parquet/rds artifacts to the
espn_womens_college_basketball_player_season_stats release tag.
Loads season-level team statistics scraped from ESPN. One row
per team-season-statistic-grouping. Backed by the wehoop-wbb-data
pipeline that reads raw JSONs from wehoop-wbb-raw and publishes
parquet/rds artifacts to the
espn_womens_college_basketball_team_season_stats release tag.
Loads season-level conference and overall standings scraped
from ESPN. One row per team-season. Backed by the wehoop-wbb-data
pipeline that reads raw JSONs from wehoop-wbb-raw and publishes
parquet/rds artifacts to the
espn_womens_college_basketball_standings release tag.
Loads shot events parsed from ESPN women's college basketball
play-by-play feeds. One row per shot attempt (made or missed), with court
coordinates and shot metadata. Backed by the wehoop-wbb-data pipeline
that reads raw JSONs from wehoop-wbb-raw and publishes parquet/rds
artifacts to the espn_womens_college_basketball_shots release tag.
Loads per-game rosters scraped from ESPN women's college
basketball box scores. One row per athlete-team-game triple, with athlete
identifiers, jersey, position, starter flag, and DNP status. Backed by
the wehoop-wbb-data pipeline that reads raw JSONs from
wehoop-wbb-raw and publishes parquet/rds artifacts to the
espn_womens_college_basketball_game_rosters release tag.
Loads game-level officials data scraped from ESPN women's
college basketball summary feeds. One row per official-game pair. Backed
by the wehoop-wbb-data pipeline that reads raw JSONs from
wehoop-wbb-raw and publishes parquet/rds artifacts to the
espn_womens_college_basketball_officials release tag.
Loads ESPN WBB athlete core records – identity and
biographical fields, one row per athlete who appeared in the season.
Backed by the wehoop-wbb-data pipeline that reads raw JSONs from
wehoop-wbb-raw and publishes parquet/rds artifacts to the
espn_womens_college_basketball_player_core release tag.
This is the only source of athlete bio in the pipeline: the player season stats payload carries no identity at all – not even the athlete id.
Two properties of the source are worth knowing before joining:
current_team_idis the athlete's CURRENT team, not their team in the requested season. Season team lives inload_wbb_player_box()/load_wbb_player_stats().Bio (height / weight / jersey) is a current snapshot that ESPN overwrites in place; it is not era-correct for a historical season. The season dimension here is participation, not the bio's vintage.
Field coverage is era-dependent by nature – headshots exist only for modern players, while college and date of birth thin out the other way.
Usage
load_wbb_pbp(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_team_box(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_player_box(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_schedule(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_rosters_manifest()
load_wbb_player_stats_manifest()
load_wbb_team_stats_manifest()
load_wbb_standings_manifest()
load_wbb_shots_manifest()
load_wbb_game_rosters_manifest()
load_wbb_officials_manifest()
load_wbb_rosters(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_player_stats(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_team_stats(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_standings(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_shots(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_game_rosters(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_officials(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)
load_wbb_player_core(
seasons = most_recent_wbb_season(),
...,
dbConnection = NULL,
tablename = NULL
)Arguments
- seasons
A vector of 4-digit years associated with given WBB seasons. (Min: 2004)
- ...
Additional arguments passed to an underlying function that writes the season data into a database.
- dbConnection
A
DBIConnectionobject, as returned byDBI::dbConnect()- tablename
The name of the player core table within the database
Value
A dataframe of play-by-play events with the columns documented below:
| col_name | description |
| shooting_play | Logical value (TRUE/FALSE) indicating whether the play was a shooting play |
| sequence_number | Sequence number is supposed to represent a shot-possession, examine the last two numbers to see if there are multiple events that occur within the same shot-possession. A shot-possession is basically any sequence of plays until there is a shot, change in possession, and probably things like technical fouls and the like. So as soon as a shot goes up, a new sequence starts regardless, even if the shooting team retains possession via offensive or deadball rebound. The first portion of the number is usually time related (i.e. the numeric representation of when the sequence started, from a seconds remaining in the period perspective or so) |
| period_display_value | Long form of period (1st quarter, 2nd Quarter, OT, etc.) |
| period_number | The numeric period of play in the game |
| home_score | Home score at the time of the play |
| scoring_play | Logical value (TRUE/FALSE) indicating whether the play was a play on which the offense scored |
| clock_display_value | Time left within the period |
| team_id | Unique team identification number for the offensive team |
| type_id | Unique play type identifcation number |
| type_text | Play type text description, passed through verbatim from ESPN. Note: ESPN labels the free-throw play TYPE "MadeFreeThrow" for made AND missed free throws; filter makes vs. misses with scoring_play (TRUE = made), not type_text |
| away_score | Away score at the time of the play |
| id | Unique play identifcation number |
| text | Text description of the play |
| score_value | The points value of the shot taken (1 / 2 / 3). Set to the attempt's value even on misses (a missed free throw still carries 1); use scoring_play to identify points actually scored |
| participants_0_athlete_id | Unique player identification number |
| participants_1_athlete_id | Unique player identification number |
| season | Season of the game |
| season_type | Season type of the game, 1 is pre-season, 2 is regular season, 3 is post-season, 4 is off-season |
| away_team_id | Unique away team identification number |
| away_team_name | Away team name |
| away_team_mascot | Away team mascot |
| away_team_abbrev | Text abbreviation for the away team |
| away_team_name_alt | Alternate versions of the away team abbreviation |
| home_team_id | Unique home team identification number |
| home_team_name | home team name |
| home_team_mascot | home team mascot |
| home_team_abbrev | Text abbreviation for the home team |
| home_team_name_alt | Alternate versions of the home team abbreviation |
| home_team_spread | The game spread with respect to the home team |
| game_spread | Game spread in (-X Team) format |
| home_favorite | Logical (TRUE/FALSE) indicating whether the home team is favored |
| game_spread_available | Logical (TRUE/FALSE) indicating whether the spread was available from ESPN. Basically, I would just not recommend using any of the spread information, I think I defaulted a lot of them to -2.5 for the home team. Most games probably do not have spread information. This column should really be listed first |
| game_id | Unique identifier for the game event |
| qtr | Quarter of the game |
| time | Time left within the period |
| clock_minutes | Clock minutes split from seconds for developer convenience |
| clock_seconds | Clock seconds split from minutes for developer convenience |
| half | Half of the game |
| game_half | Half of the game |
| lag_qtr | A lag column on the quarter |
| lead_qtr | A lead column on the quarter |
| lag_game_half | A lag column on the half |
| lead_game_half | A lead column on the half |
| start_quarter_seconds_remaining | Quarter seconds remaining at the start of the play (these are more or less code artifacts from other sports, but may eventually be used more seriously) |
| start_half_seconds_remaining | Game half seconds remaining at the start of the play (these are more or less code artifacts from other sports, but may eventually be used more seriously) |
| start_game_seconds_remaining | Game seconds remaining at the start of the play (”') |
| game_play_number | Game play number |
| end_quarter_seconds_remaining | Quarter seconds remaining at the end of the play (”') |
| end_half_seconds_remaining | Game half seconds remaining at the end of the play (”') |
| end_game_seconds_remaining | Game seconds remaining at the end of the play (”') |
| period | Period of the game |
| coordinate_x | The entire scale is a rectangle of size 25x47, intended as a half-court representation of the basketball court (i.e. on the side of the offense), with each coordinate unit representing a foot. It appears that the basket is roughly represented as the (25, 0) point. This is a nonsensical definition when considering that the basket overhangs the court, with the backboard aligned 48 inches from the baseline, then the center of the hoop being roughly 11 inches from there. This is an idiosyncracy of either sensor placement or software and data entry. Use your best judgement in making your charts, I think you will find that making some translations will be helpful. |
| coordinate_y | |
| week | Apparently there are weeks |
| media_id | Where did you come from |
| pregame_home_prob | Pre-game win probability for the home team, constant across every play of the game |
| home_win_prob | Home team's win probability at this play, updated play-by-play |
Returns a tibble
Returns a tibble
Returns a tibble
Returns a wehoop_data tibble with one row per athlete-team-season.
Returns a wehoop_data tibble of player season stats.
Returns a wehoop_data tibble of team season stats.
Columns as documented in the shared basketball_load_wbb_team_stats_schema table.
Returns a wehoop_data tibble of team standings.
Columns as documented in the shared basketball_load_wbb_standings_schema table.
Returns a wehoop_data tibble with one row per shot attempt.
Columns as documented in the shared basketball_load_wbb_shots_schema table.
Returns a wehoop_data tibble with one row per athlete-team-game.
Columns as documented in the shared basketball_load_wbb_game_rosters_schema table.
Returns a wehoop_data tibble with one row per official-game pair.
Columns as documented in the shared basketball_load_wbb_officials_schema table.
Returns a wehoop_data tibble of athlete core records.
Examples
# \donttest{
try(load_wbb_pbp())
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 2,824,090 × 70
#> game_play_number id sequence_number type_id type_text text away_score
#> <int> <dbl> <int> <int> <chr> <chr> <int>
#> 1 1 4.02e17 115103884 615 Jumpball Star… 0
#> 2 2 4.02e17 115103886 615 Jumpball Jump… 0
#> 3 3 4.02e17 115103888 615 Jumpball Jump… 0
#> 4 4 4.02e17 115103895 558 JumpShot Tana… 0
#> 5 5 4.02e17 115103896 587 Defensive … Amar… 0
#> 6 6 4.02e17 115103913 598 Lost Ball … Hale… 0
#> 7 7 4.02e17 115103914 607 Steal Iman… 0
#> 8 8 4.02e17 115103922 558 JumpShot Iman… 0
#> 9 9 4.02e17 115103924 587 Defensive … Mica… 0
#> 10 10 4.02e17 115103936 558 JumpShot Mica… 3
#> # ℹ 2,824,080 more rows
#> # ℹ 63 more variables: home_score <int>, period_number <int>,
#> # period_display_value <chr>, clock_display_value <chr>, scoring_play <lgl>,
#> # score_value <int>, wallclock <chr>, shooting_play <lgl>,
#> # coordinate_x_raw <dbl>, coordinate_y_raw <dbl>, points_attempted <int>,
#> # short_description <chr>, team_id <int>, athlete_id_1 <int>,
#> # athlete_id_2 <int>, game_id <int>, season <int>, season_type <int>, …
# }
# \donttest{
try(load_wbb_team_box())
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 12,058 × 58
#> game_id season season_type game_date game_date_time team_id team_uid
#> <int> <int> <int> <date> <dttm> <int> <chr>
#> 1 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 2579 s:40~l:5…
#> 2 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 26 s:40~l:5…
#> 3 401865139 2026 3 2026-04-04 2026-04-04 15:00:00 2287 s:40~l:5…
#> 4 401865139 2026 3 2026-04-04 2026-04-04 15:00:00 276 s:40~l:5…
#> 5 401856588 2026 3 2026-04-03 2026-04-03 19:00:00 2579 s:40~l:5…
#> 6 401856588 2026 3 2026-04-03 2026-04-03 19:00:00 41 s:40~l:5…
#> 7 401856589 2026 3 2026-04-03 2026-04-03 21:40:00 251 s:40~l:5…
#> 8 401856589 2026 3 2026-04-03 2026-04-03 21:40:00 26 s:40~l:5…
#> 9 401858323 2026 3 2026-04-01 2026-04-01 19:00:00 171 s:40~l:5…
#> 10 401858323 2026 3 2026-04-01 2026-04-01 19:00:00 252 s:40~l:5…
#> # ℹ 12,048 more rows
#> # ℹ 51 more variables: team_slug <chr>, team_location <chr>, team_name <chr>,
#> # team_abbreviation <chr>, team_display_name <chr>,
#> # team_short_display_name <chr>, team_color <chr>,
#> # team_alternate_color <chr>, team_logo <chr>, team_home_away <chr>,
#> # team_score <int>, team_winner <lgl>, assists <int>, blocks <int>,
#> # defensive_rebounds <int>, fast_break_points <chr>, field_goal_pct <dbl>, …
# }
# \donttest{
try(load_wbb_player_box())
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 168,228 × 55
#> game_id season season_type game_date game_date_time athlete_id
#> <int> <int> <int> <date> <dttm> <int>
#> 1 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 5239100
#> 2 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 5108587
#> 3 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 5174284
#> 4 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 4609797
#> 5 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 4433797
#> 6 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 5329673
#> 7 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 4434019
#> 8 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 5311577
#> 9 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 5311576
#> 10 401856590 2026 3 2026-04-05 2026-04-05 15:30:00 5239099
#> # ℹ 168,218 more rows
#> # ℹ 49 more variables: athlete_display_name <chr>, team_id <int>,
#> # team_name <chr>, team_location <chr>, team_short_display_name <chr>,
#> # minutes <dbl>, field_goals_made <int>, field_goals_attempted <int>,
#> # three_point_field_goals_made <int>,
#> # three_point_field_goals_attempted <int>, free_throws_made <int>,
#> # free_throws_attempted <int>, offensive_rebounds <int>, …
# }
# \donttest{
try(load_wbb_schedule())
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 6,054 × 95
#> id uid date attendance time_valid neutral_site conference_competition
#> <int> <chr> <chr> <dbl> <lgl> <lgl> <lgl>
#> 1 4.02e8 s:40… 2026… 15856 TRUE TRUE FALSE
#> 2 4.02e8 s:40… 2026… 5475 TRUE FALSE FALSE
#> 3 4.02e8 s:40… 2026… 15856 TRUE TRUE FALSE
#> 4 4.02e8 s:40… 2026… 15856 TRUE TRUE FALSE
#> 5 4.02e8 s:40… 2026… 2683 TRUE FALSE FALSE
#> 6 4.02e8 s:40… 2026… 3002 TRUE FALSE FALSE
#> 7 4.02e8 s:40… 2026… 1871 TRUE TRUE FALSE
#> 8 4.02e8 s:40… 2026… 8558 TRUE TRUE FALSE
#> 9 4.02e8 s:40… 2026… 2258 TRUE FALSE FALSE
#> 10 4.02e8 s:40… 2026… 1706 TRUE FALSE FALSE
#> # ℹ 6,044 more rows
#> # ℹ 88 more variables: play_by_play_available <lgl>, recent <lgl>,
#> # start_date <chr>, broadcast <chr>, highlights <chr>, notes_type <chr>,
#> # notes_headline <chr>, broadcast_market <chr>, broadcast_name <chr>,
#> # type_id <int>, type_abbreviation <chr>, venue_id <int>,
#> # venue_full_name <chr>, venue_address_city <chr>, venue_address_state <chr>,
#> # venue_indoor <lgl>, status_clock <dbl>, status_display_clock <chr>, …
# }
# \donttest{
try(load_wbb_rosters(seasons = most_recent_wbb_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 9,778 × 36
#> season team_id team_slug team_abbreviation team_display_name
#> <int> <int> <chr> <chr> <chr>
#> 1 2026 1 NA UAA Alaska Anchorage Seawolves
#> 2 2026 1 NA UAA Alaska Anchorage Seawolves
#> 3 2026 1 NA UAA Alaska Anchorage Seawolves
#> 4 2026 1 NA UAA Alaska Anchorage Seawolves
#> 5 2026 1 NA UAA Alaska Anchorage Seawolves
#> 6 2026 1 NA UAA Alaska Anchorage Seawolves
#> 7 2026 1 NA UAA Alaska Anchorage Seawolves
#> 8 2026 1 NA UAA Alaska Anchorage Seawolves
#> 9 2026 1 NA UAA Alaska Anchorage Seawolves
#> 10 2026 1 NA UAA Alaska Anchorage Seawolves
#> # ℹ 9,768 more rows
#> # ℹ 31 more variables: team_short_display_name <chr>, team_color <chr>,
#> # team_alternate_color <chr>, team_logo <chr>, athlete_id <int>, uid <chr>,
#> # guid <chr>, full_name <chr>, display_name <chr>, short_name <chr>,
#> # first_name <chr>, last_name <chr>, jersey <chr>,
#> # position_abbreviation <chr>, position_name <chr>, position_id <int>,
#> # height <chr>, weight <chr>, age <chr>, date_of_birth <chr>, …
# }
# \donttest{
try(load_wbb_player_stats(seasons = most_recent_wbb_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 41,919 × 16
#> season athlete_id athlete_display_name athlete_first_name athlete_last_name
#> <int> <int> <chr> <chr> <chr>
#> 1 2026 4399380 Anna Newman Anna Newman
#> 2 2026 4399380 Anna Newman Anna Newman
#> 3 2026 4399380 Anna Newman Anna Newman
#> 4 2026 4399380 Anna Newman Anna Newman
#> 5 2026 4399380 Anna Newman Anna Newman
#> 6 2026 4399380 Anna Newman Anna Newman
#> 7 2026 4399380 Anna Newman Anna Newman
#> 8 2026 4399380 Anna Newman Anna Newman
#> 9 2026 4399380 Anna Newman Anna Newman
#> 10 2026 4399380 Anna Newman Anna Newman
#> # ℹ 41,909 more rows
#> # ℹ 11 more variables: athlete_position_abbreviation <chr>,
#> # athlete_jersey <chr>, team_id <int>, team_display_name <chr>,
#> # category <chr>, stat_label <chr>, stat_name <chr>, stat_display_name <chr>,
#> # stat_description <chr>, display_value <chr>, value <dbl>
# }
# \donttest{
try(load_wbb_team_stats(seasons = most_recent_wbb_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 25,740 × 16
#> season team_id team_slug team_abbreviation team_display_name
#> <int> <int> <chr> <chr> <chr>
#> 1 2026 1 NA UAA Alaska Anchorage Seawolves
#> 2 2026 1 NA UAA Alaska Anchorage Seawolves
#> 3 2026 1 NA UAA Alaska Anchorage Seawolves
#> 4 2026 1 NA UAA Alaska Anchorage Seawolves
#> 5 2026 1 NA UAA Alaska Anchorage Seawolves
#> 6 2026 1 NA UAA Alaska Anchorage Seawolves
#> 7 2026 1 NA UAA Alaska Anchorage Seawolves
#> 8 2026 1 NA UAA Alaska Anchorage Seawolves
#> 9 2026 1 NA UAA Alaska Anchorage Seawolves
#> 10 2026 1 NA UAA Alaska Anchorage Seawolves
#> # ℹ 25,730 more rows
#> # ℹ 11 more variables: team_short_display_name <chr>, team_color <chr>,
#> # team_alternate_color <chr>, team_logo <chr>, category <chr>,
#> # stat_label <chr>, stat_name <chr>, stat_display_name <chr>,
#> # stat_description <chr>, display_value <chr>, value <dbl>
# }
# \donttest{
try(load_wbb_standings(seasons = most_recent_wbb_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 30,492 × 24
#> season group_id group_name group_abbreviation group_short_name team_id
#> <int> <int> <chr> <chr> <chr> <int>
#> 1 2026 1 America East Con… aeast Am. East 2349
#> 2 2026 1 America East Con… aeast Am. East 2349
#> 3 2026 1 America East Con… aeast Am. East 2349
#> 4 2026 1 America East Con… aeast Am. East 2349
#> 5 2026 1 America East Con… aeast Am. East 2349
#> 6 2026 1 America East Con… aeast Am. East 2349
#> 7 2026 1 America East Con… aeast Am. East 2349
#> 8 2026 1 America East Con… aeast Am. East 2349
#> 9 2026 1 America East Con… aeast Am. East 2349
#> 10 2026 1 America East Con… aeast Am. East 2349
#> # ℹ 30,482 more rows
#> # ℹ 18 more variables: team_uid <chr>, team_slug <chr>, team_location <chr>,
#> # team_name <chr>, team_abbreviation <chr>, team_display_name <chr>,
#> # team_short_display_name <chr>, team_color <chr>,
#> # team_alternate_color <chr>, team_logo <chr>, stat_name <chr>,
#> # stat_display_name <chr>, stat_short_display_name <chr>,
#> # stat_description <chr>, stat_abbreviation <chr>, stat_type <chr>, …
# }
# \donttest{
try(load_wbb_shots(seasons = most_recent_wbb_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 907,805 × 20
#> game_id season period_number clock_display_value team_id athlete_id_1
#> <int> <int> <int> <chr> <int> <int>
#> 1 401856590 2026 1 9:43 26 5105737
#> 2 401856590 2026 1 9:20 2579 5108587
#> 3 401856590 2026 1 9:14 2579 5174284
#> 4 401856590 2026 1 9:08 2579 5108587
#> 5 401856590 2026 1 8:43 2579 5239100
#> 6 401856590 2026 1 8:28 26 4703609
#> 7 401856590 2026 1 8:11 2579 5108587
#> 8 401856590 2026 1 7:52 26 5105737
#> 9 401856590 2026 1 7:29 2579 4609797
#> 10 401856590 2026 1 7:29 2579 4609797
#> # ℹ 907,795 more rows
#> # ℹ 14 more variables: athlete_id_2 <int>, type_id <int>, type_text <chr>,
#> # scoring_play <lgl>, score_value <int>, coordinate_x <dbl>,
#> # coordinate_y <dbl>, coordinate_x_raw <dbl>, coordinate_y_raw <dbl>,
#> # athlete_name_1 <chr>, athlete_name_2 <chr>, team_name <chr>,
#> # team_mascot <chr>, team_abbrev <chr>
# }
# \donttest{
try(load_wbb_game_rosters(seasons = most_recent_wbb_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 168,228 × 22
#> season game_id team_id team_slug team_abbreviation team_display_name
#> <int> <int> <int> <chr> <chr> <chr>
#> 1 2026 401811123 2253 grand-canyon-lo… GCU Grand Canyon Lop…
#> 2 2026 401811123 2253 grand-canyon-lo… GCU Grand Canyon Lop…
#> 3 2026 401811123 2253 grand-canyon-lo… GCU Grand Canyon Lop…
#> 4 2026 401811123 2253 grand-canyon-lo… GCU Grand Canyon Lop…
#> 5 2026 401811123 2253 grand-canyon-lo… GCU Grand Canyon Lop…
#> 6 2026 401811123 2253 grand-canyon-lo… GCU Grand Canyon Lop…
#> 7 2026 401811123 2253 grand-canyon-lo… GCU Grand Canyon Lop…
#> 8 2026 401811123 2253 grand-canyon-lo… GCU Grand Canyon Lop…
#> 9 2026 401811123 2253 grand-canyon-lo… GCU Grand Canyon Lop…
#> 10 2026 401811123 2253 grand-canyon-lo… GCU Grand Canyon Lop…
#> # ℹ 168,218 more rows
#> # ℹ 16 more variables: home_away <chr>, athlete_id <int>, athlete_uid <chr>,
#> # athlete_guid <chr>, athlete_display_name <chr>, athlete_short_name <chr>,
#> # athlete_first_name <chr>, athlete_last_name <chr>, athlete_jersey <chr>,
#> # athlete_position <chr>, athlete_headshot <chr>, starter <lgl>,
#> # did_not_play <lgl>, active <lgl>, ejected <lgl>, reason <chr>
# }
# \donttest{
try(load_wbb_officials(seasons = most_recent_wbb_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 17,458 × 11
#> season game_id official_id official_uid official_full_name
#> <int> <int> <int> <chr> <chr>
#> 1 2026 401811123 18886 NA Tiffany Bird
#> 2 2026 401811123 4078084 NA Tommi Paris
#> 3 2026 401811123 5123944 NA Gina Cantanzariti
#> 4 2026 401822217 19038 NA Chuck Gonzalez
#> 5 2026 401822217 4286788 NA Nicole Leon
#> 6 2026 401822217 4291736 NA Erica Parker
#> 7 2026 401809048 19777 NA Charles Watson
#> 8 2026 401809048 3986420 NA Angel Kent
#> 9 2026 401809048 4602668 NA Ashley Olsen
#> 10 2026 401827851 19126 NA Kevin Pethtel
#> # ℹ 17,448 more rows
#> # ℹ 6 more variables: official_display_name <chr>, official_first_name <chr>,
#> # official_last_name <chr>, official_order <int>, position_name <chr>,
#> # position_display_name <chr>
# }
# \donttest{
try(load_wbb_player_core(seasons = most_recent_wbb_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 9,870 × 36
#> season athlete_id guid uid slug type first_name last_name full_name
#> <int> <int> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 2026 4399380 d9bbe65d-… s:40… anna… bask… Anna Newman Anna New…
#> 2 2026 4400108 9b59dd9e-… s:40… nia-… bask… Nia Johnson Nia John…
#> 3 2026 4433051 3b330bd4-… s:40… cici… bask… Cici Ellington Cici Ell…
#> 4 2026 4433140 63cd2572-… s:40… chan… bask… Chandler Prater Chandler…
#> 5 2026 4433141 a2557943-… s:40… morg… bask… Morgan Robinson… Morgan R…
#> 6 2026 4433290 3ee4fc06-… s:40… mose… bask… Moses Davenport Moses Da…
#> 7 2026 4433411 3a83740b-… s:40… ange… bask… Angela Dugalic Angela D…
#> 8 2026 4433418 279c890e-… s:40… kate… bask… Kateri Poole Kateri P…
#> 9 2026 4433419 1a4334d5-… s:40… alli… bask… Alli Campbell Alli Cam…
#> 10 2026 4433420 e518ce77-… s:40… madd… bask… Maddie Scherr Maddie S…
#> # ℹ 9,860 more rows
#> # ℹ 27 more variables: display_name <chr>, short_name <chr>, height <dbl>,
#> # display_height <chr>, weight <dbl>, display_weight <chr>, age <int>,
#> # date_of_birth <chr>, birth_city <chr>, birth_state <chr>,
#> # birth_country <chr>, jersey <chr>, position_id <int>, position_name <chr>,
#> # position_abbreviation <chr>, position_display_name <chr>, college_id <int>,
#> # current_team_id <int>, headshot_href <chr>, experience_years <int>, …
# }