library(fflr)
packageVersion("fflr")
#> [1] '2026.0.1'
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)[[1]] # select first roster
my_team[, -(1:3)]
#> # A tibble: 16 × 13
#>    abbrev lineupSlot playerId firstName lastName   proTeam position injuryStatus
#>    <fct>  <fct>         <int> <chr>     <chr>      <fct>   <fct>    <chr>       
#>  1 AUS    QB          4426348 Jayden    Daniels    WSH     QB       A           
#>  2 AUS    RB          4429160 De'Von    Achane     MIA     RB       A           
#>  3 AUS    RB          4685382 Omarion   Hampton    LAC     RB       A           
#>  4 AUS    WR          4426515 Puka      Nacua      LAR     WR       A           
#>  5 AUS    WR          4374302 Amon-Ra   St. Brown  DET     WR       A           
#>  6 AUS    TE          4361307 Trey      McBride    ARI     TE       A           
#>  7 AUS    FLEX        4870808 Jeremiyah Love       ARI     RB       Q           
#>  8 AUS    D/ST         -16026 Seahawks  D/ST       SEA     D/ST     A           
#>  9 AUS    K           3953687 Brandon   Aubrey     DAL     K        A           
#> 10 AUS    BE          4567048 Kenneth   Walker III KC      RB       A           
#> 11 AUS    BE          4569618 Garrett   Wilson     NYJ     WR       A           
#> 12 AUS    BE          4685472 Tetairoa  McMillan   CAR     WR       A           
#> 13 AUS    BE          4429615 Zay       Flowers    BAL     WR       Q           
#> 14 AUS    BE            16800 Davante   Adams      LAR     WR       A           
#> 15 AUS    BE          4696981 Cam       Skattebo   NYG     RB       A           
#> 16 AUS    BE          3915416 DJ        Moore      BUF     WR       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     2026 4429795 Jahmyr    Gibbs    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: 13 × 6
#>         id published           type     premium headline                             body 
#>      <int> <dttm>              <chr>    <lgl>   <chr>                                <chr>
#>  1 3139477 2026-09-08 17:14:59 Rotowire FALSE   Chiefs head coach Andy Reid said Tu… "Mah…
#>  2 3139477 2026-09-04 16:47:20 Story    FALSE   Fantasy Football 'Do Draft' list: D… "<p>…
#>  3 3139477 2026-09-04 16:46:49 Story    FALSE   Fantasy football sleepers, busts an… "<p>…
#>  4 3139477 2026-08-29 17:08:09 Rotowire FALSE   Mahomes (knee) is on track to start… "Mah…
#>  5 3139477 2026-08-26 11:08:55 Story    FALSE   Fantasy football: Answering one key… "<p>…
#>  6 3139477 2026-08-23 01:37:05 Rotowire FALSE   Mahomes (knee) said during Saturday… "Mah…
#>  7 3139477 2026-08-20 14:48:44 Rotowire FALSE   Head coach Andy Reid said that Maho… "The…
#>  8 3139477 2026-08-18 03:46:29 Story    FALSE   Fantasy football superlatives: The … "<p>…
#>  9 3139477 2026-08-13 16:00:42 Rotowire FALSE   Mahomes (knee) won't play in Kansas… "Mah…
#> 10 3139477 2026-08-07 16:29:13 Rotowire FALSE   Chiefs coach Andy Reid said Friday … "Rei…
#> 11 3139477 2026-08-07 15:29:09 Media    FALSE   Should fantasy managers be cautious… "Sho…
#> 12 3139477 2026-07-29 15:04:39 Rotowire FALSE   Mahomes (knee) is participating in … "Chi…
#> 13 3139477 2026-07-24 20:00:47 Rotowire FALSE   Chiefs head coach Andy Reid said Fr… "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     2026 FFLR Test League TRUE         4                 17
league_name()
#> [1] "FFLR Test League"
league_size()
#> # A tibble: 1 × 2
#>   seasonId  size
#>      <int> <int>
#> 1     2026     4
str(league_status())
#> tibble [1 × 12] (S3: tbl_df/tbl/data.frame)
#>  $ year                   : int 2026
#>  $ isActive               : logi TRUE
#>  $ activatedDate          : POSIXct[1:1], format: "2026-09-08 23:04:21"
#>  $ scoringPeriodId        : int 1
#>  $ firstScoringPeriod     : int 1
#>  $ finalScoringPeriod     : int 17
#>  $ previousSeasons        :List of 1
#>   ..$ : int [1:5] 2021 2022 2023 2024 2025
#>  $ standingsUpdateDate    : POSIXct[1:1], format: "2026-09-08 23:32:17"
#>  $ teamsJoined            : int 4
#>  $ waiverLastExecutionDate: POSIXct[1:1], format: "2026-09-08 23:04:21"
#>  $ 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     2026 NA            2026-09-08 22:30:00 2026-09-08 23:30:00 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     2026 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     2026 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  2026               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 × 14
#> # ℹ 14 variables: seasonId <int>, consolationLadderDisabled <lgl>, 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     2026               1      1 AUS    QB          4426348 Jayden    Daniels    WSH    
#>  2     2026               1      1 AUS    RB          4429160 De'Von    Achane     MIA    
#>  3     2026               1      1 AUS    RB          4685382 Omarion   Hampton    LAC    
#>  4     2026               1      1 AUS    WR          4426515 Puka      Nacua      LAR    
#>  5     2026               1      1 AUS    WR          4374302 Amon-Ra   St. Brown  DET    
#>  6     2026               1      1 AUS    TE          4361307 Trey      McBride    ARI    
#>  7     2026               1      1 AUS    FLEX        4870808 Jeremiyah Love       ARI    
#>  8     2026               1      1 AUS    D/ST         -16026 Seahawks  D/ST       SEA    
#>  9     2026               1      1 AUS    K           3953687 Brandon   Aubrey     DAL    
#> 10     2026               1      1 AUS    BE          4567048 Kenneth   Walker III KC     
#> 11     2026               1      1 AUS    BE          4569618 Garrett   Wilson     NYJ    
#> 12     2026               1      1 AUS    BE          4685472 Tetairoa  McMillan   CAR    
#> 13     2026               1      1 AUS    BE          4429615 Zay       Flowers    BAL    
#> 14     2026               1      1 AUS    BE            16800 Davante   Adams      LAR    
#> 15     2026               1      1 AUS    BE          4696981 Cam       Skattebo   NYG    
#> 16     2026               1      1 AUS    BE          3915416 DJ        Moore      BUF    
#> # 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     2026               1      2 BOS    QB          3918298 Josh      Allen      BUF    
#>  2     2026               1      2 BOS    RB          4430807 Bijan     Robinson   ATL    
#>  3     2026               1      2 BOS    RB          3929630 Saquon    Barkley    PHI    
#>  4     2026               1      2 BOS    WR          4430878 Jaxon     Smith-Nji… SEA    
#>  5     2026               1      2 BOS    WR          4241389 CeeDee    Lamb       DAL    
#>  6     2026               1      2 BOS    TE          4723086 Colston   Loveland   CHI    
#>  7     2026               1      2 BOS    FLEX        3043078 Derrick   Henry      BAL    
#>  8     2026               1      2 BOS    D/ST         -16007 Broncos   D/ST       DEN    
#>  9     2026               1      2 BOS    K           2473037 Jason     Myers      SEA    
#> 10     2026               1      2 BOS    BE          4428331 Rashee    Rice       KC     
#> 11     2026               1      2 BOS    BE          4361579 Javonte   Williams   DAL    
#> 12     2026               1      2 BOS    BE          4241478 DeVonta   Smith      PHI    
#> 13     2026               1      2 BOS    BE          4612826 Ladd      McConkey   LAC    
#> 14     2026               1      2 BOS    BE          4882093 Bhayshul  Tuten      JAX    
#> 15     2026               1      2 BOS    BE          4596448 Bucky     Irving     TB     
#> 16     2026               1      2 BOS    BE          4431299 Rome      Odunze     CHI    
#> # 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     2026               1      3 CHI    QB          4431452 Drake     Maye     NE     
#>  2     2026               1      3 CHI    RB          4429795 Jahmyr    Gibbs    DET    
#>  3     2026               1      3 CHI    RB          4242335 Jonathan  Taylor   IND    
#>  4     2026               1      3 CHI    WR          4426502 Drake     London   ATL    
#>  5     2026               1      3 CHI    WR          4047646 A.J.      Brown    NE     
#>  6     2026               1      3 CHI    TE          4431459 Tyler     Warren   IND    
#>  7     2026               1      3 CHI    FLEX        4379399 James     Cook III BUF    
#>  8     2026               1      3 CHI    D/ST         -16034 Texans    D/ST     HOU    
#>  9     2026               1      3 CHI    K           4574716 Harrison  Mevis    LAR    
#> 10     2026               1      3 CHI    BE          4258173 Nico      Collins  HOU    
#> 11     2026               1      3 CHI    BE          4361370 Chris     Olave    NO     
#> 12     2026               1      3 CHI    BE          4430737 Kyren     Williams LAR    
#> 13     2026               1      3 CHI    BE          4595348 Malik     Nabers   NYG    
#> 14     2026               1      3 CHI    BE          4567750 Emeka     Egbuka   TB     
#> 15     2026               1      3 CHI    BE          4685702 Quinshon  Judkins  CLE    
#> 16     2026               1      3 CHI    BE          4372016 Jaylen    Waddle   DEN    
#> # 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     2026               1      4 DEN    QB          3916387 Lamar     Jackson    BAL    
#>  2     2026               1      4 DEN    RB          3117251 Christian McCaffrey  SF     
#>  3     2026               1      4 DEN    RB          4362238 Chase     Brown      CIN    
#>  4     2026               1      4 DEN    WR          4362628 Ja'Marr   Chase      CIN    
#>  5     2026               1      4 DEN    WR          4262921 Justin    Jefferson  MIN    
#>  6     2026               1      4 DEN    TE          4432665 Brock     Bowers     LV     
#>  7     2026               1      4 DEN    FLEX        4890973 Ashton    Jeanty     LV     
#>  8     2026               1      4 DEN    D/ST         -16023 Steelers  D/ST       PIT    
#>  9     2026               1      4 DEN    K           4362081 Cameron   Dicker     LAC    
#> 10     2026               1      4 DEN    BE          4426354 George    Pickens    DAL    
#> 11     2026               1      4 DEN    BE          4427366 Breece    Hall       NYJ    
#> 12     2026               1      4 DEN    BE          4239996 Travis    Etienne J… NO     
#> 13     2026               1      4 DEN    BE          4239993 Tee       Higgins    CIN    
#> 14     2026               1      4 DEN    BE          4259545 D'Andre   Swift      CHI    
#> 15     2026               1      4 DEN    BE          3121422 Terry     McLaurin   WSH    
#> 16     2026               1      4 DEN    BE          4426388 Jameson   Williams   DET    
#> # 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     2026               1         1      1 AUS    CHI      TRUE  
#>  2     2026               1         1      3 CHI    AUS      FALSE 
#>  3     2026               1         2      2 BOS    DEN      TRUE  
#>  4     2026               1         2      4 DEN    BOS      FALSE 
#>  5     2026               2         3      3 CHI    DEN      TRUE  
#>  6     2026               2         3      4 DEN    CHI      FALSE 
#>  7     2026               2         4      1 AUS    BOS      TRUE  
#>  8     2026               2         4      2 BOS    AUS      FALSE 
#>  9     2026               3         5      4 DEN    AUS      TRUE  
#> 10     2026               3         5      1 AUS    DEN      FALSE 
#> # ℹ 58 more rows

Message Board

league_messages(scoringPeriodId = 1)
#> # A tibble: 7 × 7
#>   id       type              author        date                content messages viewableBy
#>   <chr>    <chr>             <chr>         <dttm>              <chr>   <list>   <list>    
#> 1 3028e0c5 ACTIVITY_STATUS   NA            2026-09-08 23:32:17 NA      <df>     <NULL>    
#> 2 11df1b4d ACTIVITY_STATUS   NA            2026-09-08 23:11:31 NA      <df>     <NULL>    
#> 3 bcc7a6f1 ACTIVITY_SETTINGS {22DFE7FF-9D… 2026-09-08 23:11:07 NA      <df>     <NULL>    
#> 4 e531eacf ACTIVITY_SETTINGS {22DFE7FF-9D… 2026-09-08 23:09:52 NA      <df>     <NULL>    
#> 5 5ac3c0f6 ACTIVITY_STATUS   {22DFE7FF-9D… 2026-09-08 23:04:21 NA      <df>     <NULL>    
#> 6 0f22d9c6 CHAT_ALL_MEMBERS  WeeklyRecapA… 2023-09-12 15:09:23 NA      <df>     <NULL>    
#> 7 5af42ec9 NOTE              {22DFE7FF-9D… 2021-09-13 23:46:07 This [… <list>   <NULL>

Transaction Counter

transaction_counter()
#> # A tibble: 4 × 14
#>   seasonId scoringPeriodId teamId abbrev waiverRank acquisitionBudgetSpent acquisitions
#>      <int>           <int>  <int> <fct>       <int>                  <int>        <int>
#> 1     2026               1      1 AUS             1                      0            0
#> 2     2026               1      2 BOS             3                      0            0
#> 3     2026               1      3 CHI             4                      0            0
#> 4     2026               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     2026               1        NA      1 FALSE  RB         NA              
#>  2     2026               3        NA      2 FALSE  RB         NA              
#>  3     2026               3        NA      3 FALSE  WR         NA              
#>  4     2026               3        NA      4 FALSE  WR         NA              
#>  5     2026               1        NA      5 FALSE  RB         NA              
#>  6     2026               3        NA      6 FALSE  WR         NA              
#>  7     2026               3        NA      7 FALSE  RB         NA              
#>  8     2026               3        NA      8 FALSE  WR         NA              
#>  9     2026               1        NA      9 FALSE  FLEX       NA              
#> 10     2026               3        NA     10 FALSE  WR         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 × 13
#>    bidAmount executionType id          isActingAsTeamOwner isLeagueManager isPending items
#>        <int> <chr>         <chr>       <lgl>               <lgl>           <lgl>     <lis>
#>  1         0 EXECUTE       90bf9496-4… FALSE               FALSE           FALSE     <df> 
#>  2         0 EXECUTE       427e6b6c-b… FALSE               FALSE           FALSE     <df> 
#>  3         0 EXECUTE       d67801e3-b… FALSE               FALSE           FALSE     <df> 
#>  4         0 EXECUTE       4b42f02b-6… FALSE               FALSE           FALSE     <df> 
#>  5         0 EXECUTE       7e2e26ef-a… FALSE               FALSE           FALSE     <df> 
#>  6         0 EXECUTE       d316cb53-8… FALSE               FALSE           FALSE     <df> 
#>  7         0 EXECUTE       1fe241d8-5… FALSE               FALSE           FALSE     <df> 
#>  8         0 EXECUTE       72b5fc35-c… FALSE               FALSE           FALSE     <df> 
#>  9         0 EXECUTE       0b7456b1-9… FALSE               FALSE           FALSE     <df> 
#> 10         0 EXECUTE       c6ffa20a-9… FALSE               FALSE           FALSE     <df> 
#> # ℹ 54 more rows
#> # ℹ 6 more variables: proposedDate <dttm>, scoringPeriodId <int>,
#> #   skipTransactionCounters <lgl>, status <chr>, teamId <int>, type <chr>

Players

list_players(limit = 10, proTeam = "MIA", status = "ALL")
#> # A tibble: 10 × 17
#>    seasonId scoringPeriodId      id firstName lastName   proTeam defaultPosition
#>       <int>           <dbl>   <int> <chr>     <chr>      <fct>   <fct>          
#>  1     2026               1 4429160 De'Von    Achane     MIA     RB             
#>  2     2026               1 4242512 Malik     Willis     MIA     QB             
#>  3     2026               1 4869645 Caleb     Douglas    MIA     WR             
#>  4     2026               1 4569603 Malik     Washington MIA     WR             
#>  5     2026               1 4869961 Chris     Bell       MIA     WR             
#>  6     2026               1 4367209 Greg      Dulcich    MIA     TE             
#>  7     2026               1 4682745 Jaylen    Wright     MIA     RB             
#>  8     2026               1 4711533 Ollie     Gordon II  MIA     RB             
#>  9     2026               1 4249417 Jalen     Tolbert    MIA     WR             
#> 10     2026               1  -16015 Dolphins  D/ST       MIA     D/ST           
#> # ℹ 10 more variables: injuryStatus <chr>, percentStarted <dbl>, percentOwned <dbl>,
#> #   percentChange <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                     128.
#> 3                    1         2      2 BOS                  1                     137.
#> 4                    1         2      4 DEN                  0                     142.

Standings

league_standings()
#> # A tibble: 4 × 17
#>   seasonId scoringPeriodId teamId abbrev draftDayProjectedRank currentProjectedRank
#>      <int>           <int>  <int> <fct>                  <int>                <int>
#> 1     2026               1      1 AUS                        2                    2
#> 2     2026               1      2 BOS                        3                    3
#> 3     2026               1      3 CHI                        4                    4
#> 4     2026               1      4 DEN                        1                    1
#> # 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>