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EducationalNot betting advice · research use only.
GameTime Picks
Endzone Vault · NFL

Who our model thinks is most likely to score

A touchdown probability for every skill player on the slate, built from how a team is projected to score and how that scoring has historically been shared across its roster. Each name settles on its own.

Watchlist — no card today

178 model candidates · no touchdown market is captured for these games

Generated Sep 9, 6:57 PM ET

12 named

Today's watchlist

Ranked by the model's own touchdown probability. A player designated out is not a scorer candidate and does not appear.

PlayerGameChance to scorePlaying time
Dallas GoedertDallas Goedert TE · PHIWSH @ PHI56.4%Expected to play
Jahmyr GibbsJahmyr Gibbs RB · DETNO @ DET52.8%Expected to play
Omarion HamptonOmarion Hampton RB · LACARI @ LAC47.8%Expected to play
Derrick HenryDerrick Henry RB · BALBAL @ IND46.2%Expected to play
Kyren WilliamsKyren Williams RB · LARSF @ LAR45.4%Expected to play
Christian McCaffreyChristian McCaffrey RB · SFSF @ LAR45.3%Expected to play
Harold Fannin Jr.Harold Fannin Jr. TE · CLECLE @ JAX43.1%Expected to play
Cam SkatteboCam Skattebo RB · NYGDAL @ NYG42.6%Expected to play
Isaac TeSlaaIsaac TeSlaa WR · DETNO @ DET42.1%Expected to play
Ashton JeantyAshton Jeanty RB · LVMIA @ LV40.0%Questionable
Puka NacuaPuka Nacua WR · LARSF @ LAR39.4%Expected to play
Jaylen WarrenJaylen Warren RB · PITATL @ PIT39.3%Expected to play

178 players cleared the minimum probability across the slate; the 12 above are the highest.

Method

How the number is built

Each game’s projected points become a distribution over how many touchdowns that team scores. That total is then shared across the roster using each player’s measured share of his club’s scoring, taken from a walk-forward estimate that only ever folds in games played before this one. The two combine into one probability per player: the chance he scores at least once.

The list never sums to 100%. Defences, special teams and every player not named here hold the rest, and a touchdown probability is conditional on playing — a player who does not take the field settles void rather than losing.

What a CARD would have to clear
  • calibrated TD probability
  • current active/role evidence
  • current comparable TD price
  • settlement coverage
  • compatibility check

Model touchdown probabilities. Educational.