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Anytime TD Board · 2026-11-09

This board is shown exactly as it was published before kickoff. Probabilities and odds are not updated after the slate.

Buffalo Bills @ Minnesota Vikings

Mon 8:15 PM ET
Jon's best play · Anytime TD
Josh AllenBUF · QB
60.6%our model
vs
52.1%market implied
+8.5ptsmodel edge
-109price at build

Our calibrated model gives Josh Allen a 60.6% shot at the end zone, while the market is only pricing 52.1%. That gap is the play.

  • Josh AllenJon's best playmodel's #1BUF · QB61% model · 52% market+8.5pts-109at build
  • Keon ColemanBUF · WR27% model · 20% market+7.7pts+410at build
  • Ray DavisBUF · RB14% model · 8% market+5.5pts+1150at build
  • Aaron JonesMIN · RB35% model · 31% market+4.6pts+225at build
  • Jauan JenningsMIN · WR19% model · 14% market+4.4pts+600at build
  • Ty JohnsonBUF · RB17% model · 12% market+4.3pts+720at build
  • Dawson KnoxBUF · TE16% model · 12% market+3.6pts+720at build
  • Jackson HawesBUF · TE10% model · 8% market+2.4pts+1150at build
  • Jordan AddisonMIN · WR29% model · 28% market+1.3pts+260at build
model TD% market implied
Full model board · all 40 players (ranked by Model TD%)
#PlayerModel vs marketOdds
  • 1Josh AllenJon's best playmodel's #1BUF · QB61% model · 52% market-109at build
  • 2James CookBUF · RBoverpriced — value at -102 or better51% model · 53% market-111at build
  • 3Aaron JonesMIN · RB35% model · 31% market+225at build
  • 4Justin JeffersonMIN · WRoverpriced — value at +213 or better32% model · 40% market+152at build
  • 5Jordan AddisonMIN · WR29% model · 28% market+260at build
  • 6DJ MooreBUF · WR28% model · 27% market+265at build
  • 7Keon ColemanBUF · WR27% model · 20% market+410at build
  • 8Dalton KincaidBUF · TE26% model · 27% market+275at build
  • 9T.J. HockensonMIN · TE25% model · 33% market+205at build
  • 10Jordan MasonMIN · RB24% model · 35% market+188at build
  • 11Khalil ShakirBUF · WR22% model · 24% market+310at build
  • 12Jauan JenningsMIN · WR19% model · 14% market+600at build
  • 13Ty JohnsonBUF · RB17% model · 12% market+720at build
  • 14Kyler MurrayMIN · QB16% model · 17% market+500stale
  • 15Dawson KnoxBUF · TE16% model · 12% market+720at build
  • 16Ray DavisBUF · RB14% model · 8% market+1150at build
  • 17Jackson HawesBUF · TE10% model · 8% market+1150at build
  • 18Josh PalmerBUF · WR9% model · 10% market+900at build
  • 19Skyler BellBUF · WRlimited data8% model · 10% market+950at build
  • 20DeeJay DallasMIN · RB8% model · 5% market+1849at build
  • 21Ben YurosekMIN · TE8% model · 11% market+780at build
  • 22Carson WentzMIN · QB7% model · 8% market+1150at build
  • 23Greg DortchBUF · WR6% model · 3% market+2799at build
  • 24Keleki LatuBUF · TE5% model · 4% market+2701at build
  • 25Max BredesonMIN · RBlimited data5% model · 4% market+2400at build
  • 26Myles PriceMIN · WR5% model · 11% market+820at build
  • 27Gavin BartholomewMIN · TElimited data5% model · 7% market+1349at build
  • 28Tai FeltonMIN · WR3% model · 17% market+500at build
  • 29Harrison SmithMIN · FSlimited data1% model · 1% market+10889at build
  • 30Byron MurphyMIN · CBlimited data1% model · 1% market+8375at build
  • 31Isaiah RodgersMIN · CBlimited data1% model · 1% market+9424at build
  • 32Josh MetellusMIN · SAFlimited data1% model · 1% market+13985at build
  • 33Theo JacksonMIN · DBlimited data1% model · 1% market+13985at build
  • 34Andrew Van GinkelMIN · OLBlimited data1% model · 1% market+12887at build
  • 35Blake CashmanMIN · LBlimited data0% model · 1% market+9900at build
  • 36Eric WilsonMIN · LBlimited data0% model · 1% market+10889at build
  • 37Dallas TurnerMIN · LBlimited data0% model · 0% market+30203at build
  • 38Jalen RedmondMIN · DLlimited data0% model · 1% market+19900at build
  • 39Levi Drake RodriguezMIN · DLlimited data0% model · 0% market+30203at build
  • 40Tyrion Ingram-DawkinsMIN · DTlimited data0% model · 0% market+30203at build
First TD scorer market (28)

Ranked by market price. Our model covers anytime TD only, so the model column shows each player's anytime TD probability for context.

Model edge is our calibrated anytime-TD probability minus the market-implied probability from the current price. A positive edge means our model rates the player higher than the market is pricing. Players without a positive edge are not plays at today's prices — however likely they are to score.

Limited data marks players with thin history (rookies, new roles); their probability is shrunk toward a position baseline and should be read cautiously.

Model TD% is a probability, not a prediction of certainty. Odds are the market offers captured when this board was built.

Model nfl_atd-v1r2-20260930