- 1
Amon-Ra St. BrownWR DET · vs
NYJ75%2/2 games - 2
Jaxon Smith-NjigbaWR SEA · @
WAS75%2/2 games - 3
Jalen CokerWR CAR · @
CLE61%1/2 games - 4
Nico CollinsWR HOU · @
IND56%1/1 games - 5
CeeDee LambWR DAL · vs
BAL55%2/2 games - 6
Isaiah LikelyTE NYG · @
LA54%1/1 games - 7
Noah FantTE NO · vs
LV51%1/1 games - 8
Christian WatsonWR GB · vs
ATL48%2/2 games - 9
Trey McBrideTE ARI · @
SF45%2/2 games - 10
Dalton KincaidTE BUF · vs
LAC45%1/2 games - 11
Travis KelceTE KC · @
MIA45%1/2 games - 12
Jake FergusonTE DAL · vs
BAL45%1/2 games - 13
Deebo Samuel Sr.WR SF · vs
ARI44%1/2 games - 14
Zay FlowersWR BAL · @
DAL43%1/1 games - 15
Mike EvansWR SF · vs
ARI42%1/2 games
Ranked by chance of 1+ receiving TD. The small “games” number is how often that already happened this season.
How the percentage is calculated
Each player's rate per game is blended with what a typical player at that workload produces, so one big game does not dominate early in the season.
That rate is then scaled by how the opponent has defended that position (per-game production allowed vs the league average), trusting small defensive samples less.
Finally it becomes a probability using a Poisson count model (good for rare events like touchdowns). Tap any player to see their exact inputs.