dfs-stack.ai

Optimal lineups

Exposure

Min and max are a share of the book. Sim cores starts the highest Opt% players 10–30 points over optimal.

Optimal

OptOwnOut

Players in at least 5% of optimal lineups. A brighter bar is a larger share of those lineups.

  • 23%LARPuka NacuaWR21%

    LA · $8,800 · vs WAS

  • 23%DETJahmyr GibbsRB25%

    DET · $10,000 · vs MIA

  • 22%SFChristian McCaffreyRB18%

    SF · $8,000 · vs LV

  • 18%DALCeeDee LambWR15%

    DAL · $8,300 · vs IND

  • 16%DENJonah ColemanRB9%

    DEN · $5,300 · vs CAR

  • 15%DETAmon-Ra St. BrownWR11%

    DET · $8,100 · vs MIA

  • 15%WASAntonio WilliamsWR8%

    WAS · $4,100 · vs LA

  • 15%SFGeorge KittleTE8%

    SF · $6,000 · vs LV

  • 15%SEAJaxon Smith-NjigbaWR18%

    SEA · $9,300 · vs ARI

  • 12%DALJavonte WilliamsRB8%

    DAL · $7,300 · vs IND

  • 12%CARChuba HubbardRB10%

    CAR · $6,500 · vs DEN

  • 12%NYGDevin SingletaryRB7%

    NYG · $4,600 · vs PHI

  • 11%NYJAdonai MitchellWR11%

    NYJ · $4,500 · vs KC

  • 11%NERhamondre StevensonRB7%

    NE · $6,100 · vs GB

  • 11%KCKenneth Walker IIIRB13%

    KC · $9,000 · vs NYJ

  • 11%NYGMalik NabersWR10%

    NYG · $7,300 · vs PHI

  • 11%GBMatthew GoldenWR9%

    GB · $7,000 · vs NE

  • 11%NEHunter HenryTE3%

    NE · $4,500 · vs GB

  • 11%CLEQuinshon JudkinsRB5%

    CLE · $5,400 · vs NO

  • 11%ARIARI DSTDST6%

    ARI · $2,000 · vs SEA

  • 10%MIAOllie Gordon IIRB5%

    MIA · $5,600 · vs DET

  • 10%NOChris OlaveWR8%

    NO · $7,400 · vs CLE

  • 10%KCRashee RiceWR10%

    KC · $6,400 · vs NYJ

  • 10%HOUNico CollinsWR6%

    HOU · $7,200 · vs LAC

  • 9%HOUWoody MarksRB5%

    HOU · $5,700 · vs LAC

  • 9%MIACaleb DouglasWR5%

    MIA · $4,200 · vs DET

  • 9%DALGeorge PickensWR5%

    DAL · $6,300 · vs IND

  • 9%NYJOmar Cooper Jr.WR8%

    NYJ · $4,900 · vs KC

  • 8%INDJonathan TaylorRB6%

    IND · $7,500 · vs DAL

  • 8%CARTetairoa McMillanWR6%

    CAR · $6,900 · vs DEN

  • 8%LARKyren WilliamsRB8%

    LA · $7,600 · vs WAS

  • 8%NOAlvin KamaraRB5%

    NO · $5,000 · vs CLE

  • 8%DALRyan FlournoyWR6%

    DAL · $4,800 · vs IND

  • 8%LACLadd McConkeyWR4%

    LAC · $5,500 · vs HOU

  • 8%WASWAS DSTDST9%

    WAS · $2,300 · vs LA

  • 8%DETJameson WilliamsWR7%

    DET · $6,100 · vs MIA

  • 7%KCPatrick MahomesQB8%

    KC · $6,100 · vs NYJ

  • 7%SFXavier SmithWR5%

    SF · $3,000 · vs LV

  • 7%WASStefon DiggsWR6%

    WAS · $5,600 · vs LA

  • 7%LVAshton JeantyRB5%

    LV · $5,900 · vs SF

  • 7%MIAMalik WashingtonWR6%

    MIA · $4,700 · vs DET

  • 7%GBGB DSTDST8%

    GB · $2,400 · vs NE

  • 7%WASJayden DanielsQB5%

    WAS · $6,000 · vs LA

  • 7%MIAMalik WillisQB4%

    MIA · $5,100 · vs DET

  • 7%GBChristian WatsonWR9%

    GB · $7,500 · vs NE

  • 7%DENJaylen WaddleWR6%

    DEN · $5,700 · vs CAR

  • 7%CLEKC ConcepcionWR4%

    CLE · $4,600 · vs NO

  • 7%PHIPHI DSTDST5%

    PHI · $2,500 · vs NYG

  • 7%SEADrew LockQB7%

    SEA · $4,000 · vs ARI

  • 7%NEDeMario DouglasWR6%

    NE · $4,800 · vs GB

  • 7%CLEDenzel BostonWR4%

    CLE · $5,000 · vs NO

  • 7%ARITyler AllgeierRB10%

    ARI · $5,400 · vs SEA

  • 6%LVBrock BowersTE8%

    LV · $7,900 · vs SF

  • 6%SFBrock PurdyQB6%

    SF · $6,800 · vs LV

  • 6%NONO DSTDST5%

    NO · $2,900 · vs CLE

  • 6%LACLAC DSTDST4%

    LAC · $2,400 · vs HOU

  • 6%DALDak PrescottQB7%

    DAL · $6,500 · vs IND

  • 6%CARJalen CokerWR5%

    CAR · $6,200 · vs DEN

  • 6%INDKeenan AllenWR5%

    IND · $4,900 · vs DAL

  • 6%NYGNYG DSTDST5%

    NYG · $2,800 · vs PHI

  • 6%INDJosh DownsWR5%

    IND · $5,100 · vs DAL

  • 6%MIAGreg DulcichTE5%

    MIA · $3,100 · vs DET

  • 6%WASRachaad WhiteRB5%

    WAS · $5,100 · vs LA

  • 6%NYJNYJ DSTDST2%

    NYJ · $2,100 · vs KC

  • 6%GBJosh JacobsRB8%

    GB · $6,800 · vs NE

  • 6%LVKirk CousinsQB6%

    LV · $5,300 · vs SF

  • 6%PHIMakai LemonWR4%

    PHI · $4,700 · vs NYG

  • 5%DETJared GoffQB5%

    DET · $6,600 · vs MIA

  • 5%NOAudric EstiméRB4%

    NO · $4,000 · vs CLE

  • 5%HOUC.J. StroudQB5%

    HOU · $5,900 · vs LAC

  • 5%LARBlake CorumRB5%

    LA · $5,100 · vs WAS

  • 5%HOUDalton SchultzTE5%

    HOU · $3,200 · vs LAC

  • 5%NYGJ.J. McCarthyQB3%

    NYG · $4,800 · vs PHI

  • 5%DETSam LaPortaTE3%

    DET · $5,100 · vs MIA

  • 5%CARCAR DSTDST5%

    CAR · $2,600 · vs DEN

  • 5%LVLV DSTDST6%

    LV · $2,200 · vs SF

Together

Row is optimalabove chanceat or below

Read across a row: when that player is optimal, how often each column player joins. Green is more often than that player's overall rate.

Player
LARNacua23%
DETGibbs23%
SFMcCaffrey22%
DALLamb18%
DENColeman16%
DETBrown15%
WASWilliams15%
SFKittle15%
SEASmith-Njigba15%
DALWilliams12%
CARHubbard12%
NYGSingletary12%
LARPuka Nacua23%
23%13%17%10%18%8%14%12%8%11%12%15%
DETJahmyr Gibbs23%
13%23%11%10%13%9%20%12%8%7%9%11%
SFChristian McCaffrey22%
18%11%22%15%12%11%16%14%11%7%8%10%
DALCeeDee Lamb18%
13%12%18%18%17%10%14%12%8%9%11%14%
DENJonah Coleman16%
26%19%16%19%16%18%13%18%16%9%9%8%
DETAmon-Ra St. Brown15%
13%13%16%11%19%15%14%13%9%11%11%14%
WASAntonio Williams15%
21%30%23%16%14%14%15%15%13%13%12%10%
SFGeorge Kittle15%
19%17%21%13%19%13%15%15%12%12%12%13%
SEAJaxon Smith-Njigba15%
12%12%15%9%17%10%13%12%15%10%11%17%
DALJavonte Williams12%
21%14%13%13%12%14%16%14%13%12%9%8%
CARChuba Hubbard12%
23%16%15%16%12%14%15%14%14%9%12%9%
NYGDevin Singletary12%
28%21%18%20%10%17%13%16%21%8%9%12%

Where the mass sits

Expected optimal players from each team and position, games with the most mass first. A cell of 1.0 is one player from that spot in the average winning lineup.

TeamQBRBWRTEDSTAll
DETDET
0.10.20.20.1·0.6
MIAMIA
0.10.10.20.1·0.5
LARLA
·0.10.30.1·0.5
WASWAS
0.10.10.2·0.10.5
SFSF
0.10.20.10.2·0.6
LVLV
0.10.10.10.10.10.3
DALDAL
0.10.10.3··0.6
INDIND
·0.10.1··0.3
NENE
·0.10.10.1·0.4
GBGB
·0.10.2·0.10.4
NONO
·0.10.1·0.10.4
CLECLE
·0.10.1··0.4
KCKC
0.10.10.20.1·0.4
NYJNYJ
··0.2·0.10.3
DENDEN
·0.20.1··0.4
CARCAR
·0.10.1·0.10.4
NYGNYG
0.10.10.1·0.10.4
PHIPHI
··0.1·0.10.2
HOUHOU
0.10.10.10.1·0.4
LACLAC
··0.1·0.10.3
SEASEA
0.10.10.2··0.3
ARIARI
·0.10.1·0.10.3

Score

10,000 max-score lineups
Average
232.2

Shape

How the winning lineup stacks the quarterback, and how many players come from that game.

Stack

  • QB + 1 pass catcher30.2%
  • QB, no pass catcher20.5%
  • QB + 2 pass catchers8.8%
  • QB + 1 pass catcher + RB6.6%
  • QB + 1 pass catcher, bring-back5.9%
  • QB + RB5.8%
  • QB, bring-back5.7%
  • QB + 1 pass catcher, RB bring-back4.9%

From the quarterback's game

  • 2 from the quarterback's game43.4%
  • 3 from the quarterback's game30.6%
  • 1 from the quarterback's game19.5%
  • 4 from the quarterback's game5.9%
  • 5 from the quarterback's game0.5%
  • 6 from the quarterback's game0.0%

Core

When that quarterback is optimal, how often the pass catcher joins.

  • Patrick Mahomes7%
    • Rashee Rice29.2%
    • Travis Kelce15.1%
    • Xavier Worthy13.2%
    • Cyrus Allen2.5%
  • Jayden Daniels7%
    • Antonio Williams34.1%
    • Stefon Diggs22.5%
    • Chig Okonkwo10.9%
    • Luke McCaffrey1.8%
  • Malik Willis7%
    • Caleb Douglas22.9%
    • Malik Washington20.0%
    • Greg Dulcich14.4%
    • Chris Bell8.3%
  • Drew Lock7%
    • Jaxon Smith-Njigba60.4%
    • Cooper Kupp7.3%
    • Tory Horton3.6%
    • AJ Barner3.5%
  • Brock Purdy6%
    • George Kittle41.4%
    • Xavier Smith24.1%
    • Jordan Watkins12.0%
    • Jacob Cowing3.4%
  • Dak Prescott6%
    • CeeDee Lamb46.1%
    • George Pickens27.8%
    • Ryan Flournoy20.3%
    • Jake Ferguson3.0%
  • Kirk Cousins6%
    • Brock Bowers27.8%
    • Tre Tucker10.5%
    • Michael Mayer5.3%
    • Jalen Nailor4.4%
  • Jared Goff5%
    • Amon-Ra St. Brown43.4%
    • Jameson Williams25.7%
    • Sam LaPorta18.6%
    • Isaac TeSlaa3.2%