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The games of every series of a playoff stage.

Endpoint: GET https://org.infobasket.su/Widget/PlayOff/{comp_id}

Usage

vtb_infobasket_playoff_games(comp_id)

Arguments

comp_id

Stage CompID (comp_id in vtb_infobasket_comp_issue), not a season id and not an END year, e.g. 50720 (Regular Season 2025-26) or 54281 (Playoff 2025-26).

Value

A hoopR_data tibble: The games of every series of a playoff stage. The columns are always these, in this order (sportsdataverse-py vtb_infobasket_playoff_games); an empty valid answer raises hoopR_no_data, a valid body with no rows for this frame is a zero-row tibble:

col_nametypedescription
comp_idintegerStage CompID the request asked for (50720 = the 2025-26 regular season): a stage below the season, not an END year.
treeintegerBracket tree number (1 = the main bracket).
roundintegerRound as the number of series in it (4 = quarter-finals, 2 = semi-finals, 1 = final).
sortintegerSeries order within the round.
game_idintegerInfobasket game id (GameID); equals the v2 API matchId. Joins to /Widget/GetOnline/{gameId} and /Widget/GamePage/{gameId}.
game_statusintegerGame status in the game-record code set: 21 on every completed game sampled (not the calendar's 0/1/2).
scorecharacterFinal score 'side1:side2'.
plus_minusintegerPoint difference from side 1's view.
game_datecharacterGame date as an ISO 8601 date (YYYY-MM-DD); the wire sends DD.MM.YYYY.
team1_idintegerTeamID of side 1.
team2_idintegerTeamID of side 2.
team1_placeintegerSeed of side 1.
team2_placeintegerSeed of side 2.
home_teamintegerHome side of that game (1 or 2).
win_teamintegerWinning side of that game (1 or 2).
score1integerSeries wins of side 1.
score2integerSeries wins of side 2.

Details

Source, terms of use, request pacing, seasons, ids, coverage and error classes of this family: see the notes in vtb_infobasket_seasons().

Examples

# \donttest{
  try(vtb_infobasket_playoff_games(comp_id = 54281))
#> ── VTB Infobasket Playoff Games from org.infobasket.su ────────── hoopR 3.2.0 ──
#> ℹ Data updated: 2026-10-31 21:35:26 UTC
#> # A tibble: 34 × 17
#>    comp_id  tree round  sort game_id game_status score  plus_minus game_date 
#>      <int> <int> <int> <int>   <int>       <int> <chr>       <int> <chr>     
#>  1   54281     1     4     1 1058377          21 104:66         38 2026-04-27
#>  2   54281     1     4     1 1058378          21 85:67          18 2026-04-29
#>  3   54281     1     4     1 1058379          21 94:65          29 2026-05-03
#>  4   54281     1     4     2 1058382          21 93:80          13 2026-04-27
#>  5   54281     1     4     2 1058383          21 79:76           3 2026-04-29
#>  6   54281     1     4     2 1058384          21 87:82           5 2026-05-03
#>  7   54281     1     4     3 1058387          21 87:62          25 2026-04-26
#>  8   54281     1     4     3 1058388          21 83:63          20 2026-04-28
#>  9   54281     1     4     3 1058389          21 74:63          11 2026-05-02
#> 10   54281     1     4     4 1058392          21 78:85          -7 2026-04-26
#> # ℹ 24 more rows
#> # ℹ 8 more variables: team1_id <int>, team2_id <int>, team1_place <int>,
#> #   team2_place <int>, home_team <int>, win_team <int>, score1 <int>,
#> #   score2 <int>
# }