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Anytime TD Board · 2026-10-19

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

Washington Commanders @ San Francisco 49ers

Mon 8:15 PM ET
Jon's best play · Anytime TD
50.7%our model
vs
44.3%market implied
+6.5ptsmodel edge
+126price at build

Our calibrated model gives George Kittle a 50.7% shot at the end zone, while the market is only pricing 44.3%. That gap is the play.

  • Jordan JamesSF · RBlimited data12% model · 5% market+7.9pts+2098at build
  • George KittleJon's best playSF · TE51% model · 44% market+6.5pts+126at build
  • Treylon BurksWSH · WR18% model · 13% market+5.1pts+660at build
  • Luke FarrellSF · TE14% model · 10% market+3.6pts+900at build
  • Jayden DanielsWSH · QB31% model · 27% market+3.3pts+265at build
  • Kaelon BlackSF · RB21% model · 19% market+2.5pts+430at build
  • Antonio WilliamsWSH · WR19% model · 18% market+1.8pts+470at build
model TD% market implied

Christian McCaffrey is the model's most likely scorer (59.9%) — but not a pick at today's price: the market is asking more than our number. Good pick, wrong price. Value opens at -149 or better.

Full model board · all 28 players (ranked by Model TD%)
#PlayerModel vs marketOdds
  • 1Christian McCaffreymodel's #1SF · RBoverpriced — value at -149 or better60% model · 71% market-250at build
  • 2George KittleJon's best playSF · TE51% model · 44% market+126at build
  • 3Mike EvansSF · WRoverpriced — value at +179 or better36% model · 54% market-118at build
  • 4Jayden DanielsWSH · QB31% model · 27% market+265at build
  • 5Jacory Croskey-MerrittWSH · RBoverpriced — value at +270 or better27% model · 49% market+104at build
  • 6Terry McLaurinWSH · WR26% model · 32% market+215at build
  • 7Stefon DiggsWSH · WR24% model · 29% market+240at build
  • 8Rachaad WhiteWSH · RB22% model · 43% market+130at build
  • 9Kaelon BlackSF · RB21% model · 19% market+430at build
  • 10Chig OkonkwoWSH · TE20% model · 22% market+350at build
  • 11Brock PurdySF · QB20% model · 23% market+330at build
  • 12Antonio WilliamsWSH · WR19% model · 18% market+470at build
  • 13Christian KirkSF · WR19% model · 20% market+400at build
  • 14Treylon BurksWSH · WR18% model · 13% market+660at build
  • 15Austin EkelerWSH · RB17% model · 24% market+320at build
  • 16Brandin CooksSF · WR14% model · 27% market+265at build
  • 17Luke FarrellSF · TE14% model · 10% market+900at build
  • 18Jordan JamesSF · RBlimited data12% model · 5% market+2098at build
  • 19Jeremy McNicholsWSH · RB11% model · 25% market+300stale
  • 20Jacob CowingSF · WR11% model · 18% market+460at build
  • 21Jordan WatkinsSF · WRlimited data9% model · 10% market+950at build
  • 22Dyami BrownWSH · WR9% model · 7% market+1349at build
  • 23John BatesWSH · TE9% model · 6% market+1699at build
  • 24Ben SinnottWSH · TE9% model · 5% market+1748at build
  • 25Brayden WillisSF · TE8% model · 10% market+900at build
  • 26Luke McCaffreyWSH · WR7% model · 3% market+3702at build
  • 27Kyle JuszczykSF · FBlimited data5% model · 13% market+700at build
  • 28Colson YankoffWSH · TE4% model · 4% market+2603at 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