library(fflr)
packageVersion("fflr")
#> [1] '2.3.1'
ffl_id(leagueId = "42654852")
#> Temporarily set `fflr.leagueId` option to 42654852
#> [1] "42654852"

This vignette will demonstrate the fflr functions used to reach equivalency with the ESPN fantasy football website. The website has eight section headers with various subsections:

  1. My Team
    • Overview
    • Stats (TBD)
    • Schedule (TBD)
    • News
    • Projections (TBD)
    • Ranks (TBD)
  2. League
    • League Home
    • Settings
    • Members
    • Rosters
    • Schedule
    • Message Board
    • Transaction Counter
    • History
    • Draft Recap
    • Email League
    • Recent Activity
  3. Players
    • Add Players
    • Watch List
    • Scoring Leaders
    • Live Draft Trends
    • Points Against
    • Added / Dropped
    • Player News
    • Projections
    • Budget Summary
    • Offers Report
    • Stat Corrections
  4. FantasyCast
  5. Scoreboard
  6. Standings
  7. Opposing Teams
  8. LM Tools
    • League Membership Tools
    • Draft Tools
    • League and Scoring Settings Tools
    • Roster Tools
    • Schedule and Standings Tools
    • Miscellaneous Tools

My Team

The My Team page presents an overview of, well, your fantasy team. From this page, a team manager can set their lineup and see statistics and news on the players on their roster.

There are six subsections on the My Team page.

Overview

The team_roster() function returns all rosters in a league. The output of this function is organized to replicate the layout of the table found on the website. Players are listed in order of their “slot” with name and team information followed by projected and actual scores and ownership statistics.

my_team <- team_roster(scoringPeriodId = 1, leagueHistory = TRUE)[[1]] # select first roster
my_team[[1]][, -(1:3)]
#> # A tibble: 16 × 13
#>    abbrev lineupSlot playerId firstName  lastName  proTeam position injuryStatus
#>    <fct>  <fct>         <int> <chr>      <chr>     <fct>   <fct>    <chr>       
#>  1 AUS    RB          4242335 Jonathan   Taylor    Ind     RB       A           
#>  2 AUS    RB          4259545 D'Andre    Swift     Det     RB       A           
#>  3 AUS    WR            16800 Davante    Adams     GB      WR       A           
#>  4 AUS    WR            16460 Adam       Thielen   Min     WR       Q           
#>  5 AUS    TE          3116365 Mark       Andrews   Bal     TE       A           
#>  6 AUS    FLEX        3932905 Diontae    Johnson   Pit     WR       A           
#>  7 AUS    D/ST         -16027 Buccaneers D/ST      TB      D/ST     A           
#>  8 AUS    K           2473037 Jason      Myers     Sea     K        A           
#>  9 AUS    BE          3117251 Christian  McCaffrey Car     RB       Q           
#> 10 AUS    BE          4360294 Antonio    Gibson    Wsh     RB       A           
#> 11 AUS    BE          3925357 Calvin     Ridley    Atl     WR       O           
#> 12 AUS    BE          4045163 Miles      Sanders   Phi     RB       A           
#> 13 AUS    BE          3919596 Chris      Carson    Sea     RB       Q           
#> 14 AUS    BE          3128429 Courtland  Sutton    Den     WR       A           
#> 15 AUS    BE          2577417 Dak        Prescott  Dal     QB       A           
#> 16 AUS    BE          3128720 Nick       Chubb     Cle     RB       A           
#> # ℹ 5 more variables: projectedScore <dbl>, actualScore <dbl>, percentStarted <dbl>,
#> #   percentOwned <dbl>, percentChange <dbl>

News

The player_outlook() and player_news() functions return news on your roster. The first returns all outlooks by player and week and cannot be refined beyond setting a limit of players to return (in order of rank).

player_outlook(limit = 1)
#> # A tibble: 1 × 5
#>   seasonId      id firstName lastName outlook
#>      <int>   <int> <chr>     <chr>    <chr>  
#> 1     2024 3116406 Tyreek    Hill     NA

The second fiction takes a single playerId value and returns all the recent news on that player, including premium stories in HTML format.

player_news(playerId = "3139477", parseHTML = FALSE)
#> # A tibble: 7 × 6
#>        id published           type     premium headline                              body 
#>     <int> <dttm>              <chr>    <lgl>   <chr>                                 <chr>
#> 1 3139477 2024-08-19 16:57:49 Rotowire FALSE   Coach Andy Reid said Monday that Mah… "Mah…
#> 2 3139477 2024-08-17 20:51:43 Rotowire FALSE   Mahomes completed eight of 14 passes… "Mah…
#> 3 3139477 2024-08-16 20:50:11 Story    TRUE    Fantasy football rankings: Eric Mood… "<p>…
#> 4 3139477 2024-08-15 18:56:04 Story    TRUE    The 2024 Fantasy Football Do Not Dra… "<p>…
#> 5 3139477 2024-08-15 15:35:09 Rotowire FALSE   Mahomes and other starters are sched… "Per…
#> 6 3139477 2024-08-11 02:17:32 Rotowire FALSE   Mahomes completed three of four pass… "Mah…
#> 7 3139477 2024-08-07 16:38:40 Rotowire FALSE   Head coach Andy Reid said Mahomes an… "Rei…

League

ESPN fantasy leagues have their own unique settings and structure. This package has been tested for a very narrow subset of those possible settings.

league_info(leagueId = "42654852")
#> # A tibble: 1 × 6
#>         id seasonId name             isPublic  size finalScoringPeriod
#>      <int>    <int> <chr>            <lgl>    <int>              <int>
#> 1 42654852     2024 FFLR Test League TRUE         4                 17
league_name()
#> [1] "FFLR Test League"
league_size()
#> # A tibble: 1 × 2
#>   seasonId  size
#>      <int> <int>
#> 1     2024     4
str(league_status())
#> tibble [1 × 12] (S3: tbl_df/tbl/data.frame)
#>  $ year                   : int 2024
#>  $ isActive               : logi TRUE
#>  $ activatedDate          : POSIXct[1:1], format: "2024-05-03 00:28:18"
#>  $ scoringPeriodId        : int 1
#>  $ firstScoringPeriod     : int 1
#>  $ finalScoringPeriod     : int 17
#>  $ previousSeasons        :List of 1
#>   ..$ : int [1:3] 2021 2022 2023
#>  $ standingsUpdateDate    : POSIXct[1:1], format: "2024-08-21 15:33:02"
#>  $ teamsJoined            : int 4
#>  $ waiverLastExecutionDate: POSIXct[1:1], format: "2024-08-25 07:07:20"
#>  $ waiverNextExecutionDate: POSIXct[1:1], format: NA
#>  $ waiverProcessStatus    :List of 1
#>   ..$ :'data.frame': 0 obs. of  1 variable:
#>   .. ..$ date: 'POSIXct' num(0) 
#>  - attr(*, "tzone")= chr ""

Settings

Draft

draft_settings()
#> # A tibble: 1 × 13
#>   seasonId auctionBudget availableDate       date                isTradingEnabled
#>      <int> <chr>         <dttm>              <dttm>              <lgl>           
#> 1     2024 NA            2024-08-21 14:30:00 2024-08-21 15:30:00 FALSE           
#> # ℹ 8 more variables: keeperCount <int>, keeperCountFuture <int>, keeperOrderType <chr>,
#> #   leagueSubType <chr>, orderType <chr>, pickOrder <list>, timePerSelection <int>,
#> #   type <chr>

Rosters

roster_settings()
#> # A tibble: 1 × 8
#>   seasonId isBenchUnlimited isUsingUndroppableList lineupLocktimeType lineupSlotCounts
#>      <int> <lgl>            <lgl>                  <chr>              <list>          
#> 1     2024 TRUE             TRUE                   INDIVIDUAL_GAME    <df [25 × 2]>   
#> # ℹ 3 more variables: moveLimit <int>, positionLimits <list>, rosterLocktimeType <chr>

Scoring

scoring_settings()
#> # A tibble: 1 × 7
#>   seasonId scoringType playerRankType homeTeamBonus playoffHomeTeamBonus
#>      <int> <chr>       <chr>                  <int>                <int>
#> 1     2024 H2H_POINTS  PPR                        1                    0
#> # ℹ 2 more variables: playoffMatchupTieRule <chr>, scoringItems <list>

Transactions and Keepers

acquisition_settings()
#> # A tibble: 1 × 12
#>    year acquisitionBudget acquisitionLimit acquisitionType     finalPlaceTransactionElig…¹
#>   <int>             <int>            <int> <chr>                                     <int>
#> 1  2024               100               -1 WAIVERS_TRADITIONAL                           0
#> # ℹ abbreviated name: ¹​finalPlaceTransactionEligible
#> # ℹ 7 more variables: matchupLimitPerScoringPeriod <lgl>, minimumBid <int>,
#> #   transactionLockingEnabled <lgl>, waiverHours <int>, waiverOrderReset <lgl>,
#> #   waiverProcessDays <list>, waiverProcessHour <int>

Schedule

schedule_settings()
#> # A tibble: 0 × 13
#> # ℹ 13 variables: seasonId <int>, divisions <list>, matchupPeriodCount <int>,
#> #   matchupPeriodLength <int>, matchupPeriods <list>, periodTypeId <int>,
#> #   playoffMatchupPeriodLength <int>, playoffMatchupPeriodLengthByRound <named list>,
#> #   playoffReseed <lgl>, playoffSeedingRule <chr>, playoffSeedingRuleBy <int>,
#> #   playoffTeamCount <int>, variablePlayoffMatchupPeriodLength <lgl>

Members

league_members()
#> # A tibble: 1 × 6
#>   memberId                  displayName firstName lastName isLeagueCreator isLeagueManager
#>   <chr>                     <chr>       <chr>     <chr>    <lgl>           <lgl>          
#> 1 {22DFE7FF-9DF2-4F3B-9FE7… K5cents     Kiernan   Nicholls TRUE            FALSE

Rosters

team_roster(scoringPeriodId = 1)
#> $AUS
#> # A tibble: 16 × 16
#>    seasonId scoringPeriodId teamId abbrev lineupSlot playerId firstName lastName  proTeam
#>       <int>           <int>  <int> <fct>  <fct>         <int> <chr>     <chr>     <fct>  
#>  1     2024               1      1 AUS    QB          3139477 Patrick   Mahomes   KC     
#>  2     2024               1      1 AUS    RB          3117251 Christian McCaffrey SF     
#>  3     2024               1      1 AUS    RB          4242335 Jonathan  Taylor    Ind    
#>  4     2024               1      1 AUS    WR          3116406 Tyreek    Hill      Mia    
#>  5     2024               1      1 AUS    WR          4361370 Chris     Olave     NO     
#>  6     2024               1      1 AUS    TE            15847 Travis    Kelce     KC     
#>  7     2024               1      1 AUS    FLEX        4361529 Isiah     Pacheco   KC     
#>  8     2024               1      1 AUS    D/ST         -16005 Browns    D/ST      Cle    
#>  9     2024               1      1 AUS    K           2971573 Ka'imi    Fairbairn Hou    
#> 10     2024               1      1 AUS    BE          3116385 Joe       Mixon     Hou    
#> 11     2024               1      1 AUS    BE          4047650 DK        Metcalf   Sea    
#> 12     2024               1      1 AUS    BE          3054850 Alvin     Kamara    NO     
#> 13     2024               1      1 AUS    BE          4241478 DeVonta   Smith     Phi    
#> 14     2024               1      1 AUS    BE          4595348 Malik     Nabers    NYG    
#> 15     2024               1      1 AUS    BE          4569173 Rhamondre Stevenson NE     
#> 16     2024               1      1 AUS    BE          4239993 Tee       Higgins   Cin    
#> # ℹ 7 more variables: position <fct>, injuryStatus <chr>, projectedScore <dbl>,
#> #   actualScore <dbl>, percentStarted <dbl>, percentOwned <dbl>, percentChange <dbl>
#> 
#> $BOS
#> # A tibble: 16 × 16
#>    seasonId scoringPeriodId teamId abbrev lineupSlot playerId firstName lastName   proTeam
#>       <int>           <int>  <int> <fct>  <fct>         <int> <chr>     <chr>      <fct>  
#>  1     2024               1      2 BOS    QB          4429084 Anthony   Richardson Ind    
#>  2     2024               1      2 BOS    RB          4430737 Kyren     Williams   LAR    
#>  3     2024               1      2 BOS    RB          3043078 Derrick   Henry      Bal    
#>  4     2024               1      2 BOS    WR          4241389 CeeDee    Lamb       Dal    
#>  5     2024               1      2 BOS    WR          4362628 Ja'Marr   Chase      Cin    
#>  6     2024               1      2 BOS    TE          4430027 Sam       LaPorta    Det    
#>  7     2024               1      2 BOS    FLEX        4047646 A.J.      Brown      Phi    
#>  8     2024               1      2 BOS    D/ST         -16006 Cowboys   D/ST       Dal    
#>  9     2024               1      2 BOS    K           3953687 Brandon   Aubrey     Dal    
#> 10     2024               1      2 BOS    BE          4426502 Drake     London     Atl    
#> 11     2024               1      2 BOS    BE          4697815 Rachaad   White      TB     
#> 12     2024               1      2 BOS    BE          2976212 Stefon    Diggs      Hou    
#> 13     2024               1      2 BOS    BE          3915416 DJ        Moore      Chi    
#> 14     2024               1      2 BOS    BE          3126486 Deebo     Samuel Sr. SF     
#> 15     2024               1      2 BOS    BE          3916387 Lamar     Jackson    Bal    
#> 16     2024               1      2 BOS    BE          4366031 Tank      Dell       Hou    
#> # ℹ 7 more variables: position <fct>, injuryStatus <chr>, projectedScore <dbl>,
#> #   actualScore <dbl>, percentStarted <dbl>, percentOwned <dbl>, percentChange <dbl>
#> 
#> $CHI
#> # A tibble: 16 × 16
#>    seasonId scoringPeriodId teamId abbrev lineupSlot playerId firstName lastName   proTeam
#>       <int>           <int>  <int> <fct>  <fct>         <int> <chr>     <chr>      <fct>  
#>  1     2024               1      3 CHI    QB          3918298 Josh      Allen      Buf    
#>  2     2024               1      3 CHI    RB          4430807 Bijan     Robinson   Atl    
#>  3     2024               1      3 CHI    RB          4239996 Travis    Etienne J… Jax    
#>  4     2024               1      3 CHI    WR          4262921 Justin    Jefferson  Min    
#>  5     2024               1      3 CHI    WR          4569618 Garrett   Wilson     NYJ    
#>  6     2024               1      3 CHI    TE          3116365 Mark      Andrews    Bal    
#>  7     2024               1      3 CHI    FLEX        4426515 Puka      Nacua      LAR    
#>  8     2024               1      3 CHI    D/ST         -16033 Ravens    D/ST       Bal    
#>  9     2024               1      3 CHI    K             15683 Justin    Tucker     Bal    
#> 10     2024               1      3 CHI    BE          4432708 Marvin    Harrison … Ari    
#> 11     2024               1      3 CHI    BE          4429160 De'Von    Achane     Mia    
#> 12     2024               1      3 CHI    BE          4258173 Nico      Collins    Hou    
#> 13     2024               1      3 CHI    BE          4360438 Brandon   Aiyuk      SF     
#> 14     2024               1      3 CHI    BE          4567048 Kenneth   Walker III Sea    
#> 15     2024               1      3 CHI    BE          3042519 Aaron     Jones      Min    
#> 16     2024               1      3 CHI    BE          4429615 Zay       Flowers    Bal    
#> # ℹ 7 more variables: position <fct>, injuryStatus <chr>, projectedScore <dbl>,
#> #   actualScore <dbl>, percentStarted <dbl>, percentOwned <dbl>, percentChange <dbl>
#> 
#> $DEN
#> # A tibble: 16 × 16
#>    seasonId scoringPeriodId teamId abbrev lineupSlot playerId firstName lastName   proTeam
#>       <int>           <int>  <int> <fct>  <fct>         <int> <chr>     <chr>      <fct>  
#>  1     2024               1      4 DEN    QB          4040715 Jalen     Hurts      Phi    
#>  2     2024               1      4 DEN    RB          4427366 Breece    Hall       NYJ    
#>  3     2024               1      4 DEN    RB          3929630 Saquon    Barkley    Phi    
#>  4     2024               1      4 DEN    WR          4374302 Amon-Ra   St. Brown  Det    
#>  5     2024               1      4 DEN    WR          4035687 Michael   Pittman J… Ind    
#>  6     2024               1      4 DEN    TE          4361307 Trey      McBride    Ari    
#>  7     2024               1      4 DEN    FLEX        4429795 Jahmyr    Gibbs      Det    
#>  8     2024               1      4 DEN    D/ST         -16025 49ers     D/ST       SF     
#>  9     2024               1      4 DEN    K           3050478 Jake      Elliott    Phi    
#> 10     2024               1      4 DEN    BE            16800 Davante   Adams      LV     
#> 11     2024               1      4 DEN    BE          4379399 James     Cook       Buf    
#> 12     2024               1      4 DEN    BE            16737 Mike      Evans      TB     
#> 13     2024               1      4 DEN    BE          4047365 Josh      Jacobs     GB     
#> 14     2024               1      4 DEN    BE          4372016 Jaylen    Waddle     Mia    
#> 15     2024               1      4 DEN    BE          2977187 Cooper    Kupp       LAR    
#> 16     2024               1      4 DEN    BE          3925357 Calvin    Ridley     Ten    
#> # ℹ 7 more variables: position <fct>, injuryStatus <chr>, projectedScore <dbl>,
#> #   actualScore <dbl>, percentStarted <dbl>, percentOwned <dbl>, percentChange <dbl>

Schedule

tidy_schedule(scoringPeriodId = 1)
#> # A tibble: 68 × 7
#>    seasonId matchupPeriodId matchupId teamId abbrev opponent isHome
#>       <int>           <int>     <int>  <int> <fct>  <fct>    <lgl> 
#>  1     2024               1         1      1 AUS    CHI      TRUE  
#>  2     2024               1         1      3 CHI    AUS      FALSE 
#>  3     2024               1         2      2 BOS    DEN      TRUE  
#>  4     2024               1         2      4 DEN    BOS      FALSE 
#>  5     2024               2         3      3 CHI    DEN      TRUE  
#>  6     2024               2         3      4 DEN    CHI      FALSE 
#>  7     2024               2         4      1 AUS    BOS      TRUE  
#>  8     2024               2         4      2 BOS    AUS      FALSE 
#>  9     2024               3         5      4 DEN    AUS      TRUE  
#> 10     2024               3         5      1 AUS    DEN      FALSE 
#> # ℹ 58 more rows

Message Board

league_messages(scoringPeriodId = 1)
#> # A tibble: 3 × 7
#>   id       type             author         date                content messages viewableBy
#>   <chr>    <chr>            <chr>          <dttm>              <chr>   <list>   <list>    
#> 1 47a940be CHAT_ALL_MEMBERS {22DFE7FF-9DF… 2024-08-26 01:04:14 Ready … <NULL>   <NULL>    
#> 2 65c56889 CHAT_ALL_MEMBERS LM             2024-08-21 15:25:45 NA      <NULL>   <NULL>    
#> 3 5af42ec9 NOTE             {22DFE7FF-9DF… 2021-09-13 23:46:07 This [… <NULL>   <NULL>

Transaction Counter

transaction_counter()
#> # A tibble: 4 × 14
#>   seasonId scoringPeriodId teamId abbrev waiverRank acquisitionBudgetSpent acquisitions
#>      <int>           <int>  <int> <fct>       <int>                  <int>        <int>
#> 1     2024               1      1 AUS             4                      0            0
#> 2     2024               1      2 BOS             3                      0            0
#> 3     2024               1      3 CHI             1                      0            0
#> 4     2024               1      4 DEN             2                      0            0
#> # ℹ 7 more variables: drops <int>, misc <int>, moveToActive <int>, moveToIR <int>,
#> #   paid <dbl>, teamCharges <dbl>, trades <int>

Draft Recap

draft_recap()
#> # A tibble: 64 × 15
#>    seasonId autoDraftTypeId bidAmount pickId keeper lineupSlot nominatingTeamId
#>       <int>           <int>     <int>  <int> <lgl>  <fct>      <fct>           
#>  1     2024               1        NA      1 FALSE  RB         NA              
#>  2     2024               3        NA      2 FALSE  WR         NA              
#>  3     2024               3        NA      3 FALSE  RB         NA              
#>  4     2024               3        NA      4 FALSE  RB         NA              
#>  5     2024               1        NA      5 FALSE  WR         NA              
#>  6     2024               3        NA      6 FALSE  WR         NA              
#>  7     2024               3        NA      7 FALSE  WR         NA              
#>  8     2024               3        NA      8 FALSE  WR         NA              
#>  9     2024               1        NA      9 FALSE  RB         NA              
#> 10     2024               3        NA     10 FALSE  FLEX       NA              
#> # ℹ 54 more rows
#> # ℹ 8 more variables: overallPickNumber <int>, playerId <int>, reservedForKeeper <lgl>,
#> #   roundId <int>, roundPickNumber <int>, teamId <int>, abbrev <fct>, tradeLocked <lgl>

Recent Activity

recent_activity(scoringPeriodId = 1)
#> # A tibble: 64 × 14
#>    bidAmount executionType id          isActingAsTeamOwner isLeagueManager isPending items
#>        <int> <chr>         <chr>       <lgl>               <lgl>           <lgl>     <lis>
#>  1         0 EXECUTE       905f81fd-d… FALSE               FALSE           FALSE     <df> 
#>  2         0 EXECUTE       f007e4aa-9… FALSE               FALSE           FALSE     <df> 
#>  3         0 EXECUTE       926243a4-c… FALSE               FALSE           FALSE     <df> 
#>  4         0 EXECUTE       2e2236c1-a… FALSE               FALSE           FALSE     <df> 
#>  5         0 EXECUTE       8f7f2583-6… FALSE               FALSE           FALSE     <df> 
#>  6         0 EXECUTE       6a934b5a-4… FALSE               FALSE           FALSE     <df> 
#>  7         0 EXECUTE       1e7ea99a-e… FALSE               FALSE           FALSE     <df> 
#>  8         0 EXECUTE       3b3d98bd-5… FALSE               FALSE           FALSE     <df> 
#>  9         0 EXECUTE       f7b5d86a-3… FALSE               FALSE           FALSE     <df> 
#> 10         0 EXECUTE       6956e466-f… FALSE               FALSE           FALSE     <df> 
#> # ℹ 54 more rows
#> # ℹ 7 more variables: proposedDate <dttm>, scoringPeriodId <int>,
#> #   skipTransactionCounters <lgl>, status <chr>, teamId <int>, type <chr>,
#> #   processDate <dttm>

Players

list_players(limit = 10, proTeam = "Mia", status = "ALL")
#> # A tibble: 10 × 19
#>    seasonId scoringPeriodId      id firstName lastName    proTeam defaultPosition
#>       <int>           <dbl>   <int> <chr>     <chr>       <fct>   <fct>          
#>  1     2024               1 3116406 Tyreek    Hill        Mia     WR             
#>  2     2024               1 4429160 De'Von    Achane      Mia     RB             
#>  3     2024               1 4372016 Jaylen    Waddle      Mia     WR             
#>  4     2024               1 2576414 Raheem    Mostert     Mia     RB             
#>  5     2024               1  -16015 Dolphins  D/ST        Mia     D/ST           
#>  6     2024               1 4241479 Tua       Tagovailoa  Mia     QB             
#>  7     2024               1 4682745 Jaylen    Wright      Mia     RB             
#>  8     2024               1 3124679 Jason     Sanders     Mia     K              
#>  9     2024               1   16733 Odell     Beckham Jr. Mia     WR             
#> 10     2024               1 3054212 Jonnu     Smith       Mia     TE             
#> # ℹ 12 more variables: injuryStatus <chr>, percentStarted <dbl>, percentOwned <dbl>,
#> #   percentChange <dbl>, positionalRanking <int>, totalRating <dbl>,
#> #   auctionValueAverage <dbl>, averageDraftPosition <dbl>, projectedScore <dbl>,
#> #   lastScore <dbl>, lastSeason <dbl>, currentSeason <dbl>

Scoreboard

live_scoring()
#> # A tibble: 4 × 6
#>   currentMatchupPeriod matchupId teamId abbrev totalPointsLive totalProjectedPointsLive
#>                  <int>     <int>  <int> <fct>            <dbl>                    <dbl>
#> 1                    1         1      1 AUS                  1                     140.
#> 2                    1         1      3 CHI                  0                     133.
#> 3                    1         2      2 BOS                  1                     117.
#> 4                    1         2      4 DEN                  0                     134.

Standings

league_standings()
#> # A tibble: 4 × 17
#>   seasonId scoringPeriodId teamId abbrev draftDayProjectedRank currentProjectedRank
#>      <int>           <int>  <int> <fct>                  <int>                <int>
#> 1     2024               1      1 AUS                        1                    1
#> 2     2024               1      2 BOS                        2                    2
#> 3     2024               1      3 CHI                        3                    3
#> 4     2024               1      4 DEN                        4                    4
#> # ℹ 11 more variables: playoffSeed <int>, rankCalculatedFinal <int>, gamesBack <dbl>,
#> #   losses <int>, percentage <dbl>, pointsAgainst <dbl>, pointsFor <dbl>,
#> #   streakLength <int>, streakType <chr>, ties <int>, wins <int>