NFL Targets 2025-26

The NFL target stats below are updated with the conclusion of each game. In the data, you’ll be able to see which players have received the most targets on both a week-by-week basis and a season-long basis. This data can also be broken down to provide insights by team and position group. Seeing a running back with a high target volume, for example, can be a good indicator of how a coach wants to use him in the scheme. You’ll also be able to see which players lead the NFL in targets and who leads a particular team in target. You can cross reference this data with reception data to determine which player/QB connection is the most efficient with respect to targets.

The NFL target stats below are updated with the conclusion of each game. In the data, you’ll be able to see which players have received the most targets on both a week-by-week basis and a season-long basis. This data can also be broken down to provide insights by team and position group. Seeing a running back with a high target volume, for example, can be a good indicator of how a coach wants to use him in the scheme. You’ll also be able to see which players lead the NFL in targets and who leads a particular team in target. You can cross reference this data with reception data to determine which player/QB connection is the most efficient with respect to targets.

NAME POS TEAM Wk1 Wk2 Wk3 Wk4 Wk5 Wk6 Wk7 Wk8 Wk9 Wk10 Wk11 Wk12 Wk13 Wk14 Wk15 Wk16 Wk17 Wk18 Total Avg TM TGT % Catches Catch % TD
Amon-Ra St. Brown WR DET 6 11 8 7 9 10 10 13 8 12 13 1 9 18 9 13 15 172 10.1 29.6 117 68% 11
Colston Loveland TE CHI 2 1 3 3 4 5 7 4 4 5 6 5 5 4 10 13 81 5.1 14.3 58 70.7% 6
Keenan Allen WR LAC 10 7 11 7 9 7 14 5 5 5 6 5 3 7 5 3 13 122 7.2 21.4 81 66.4% 4
Justin Jefferson WR MIN 7 6 7 11 11 10 11 9 12 9 6 6 4 8 8 5 11 141 8.3 29.1 84 59.6% 2
Puka Nacua WR LAR 11 9 15 15 12 3 8 6 8 11 9 11 11 16 10 11 166 10.4 27.8 129 77.7% 10
Elic Ayomanor WR TEN 7 6 5 7 4 5 5 8 6 6 5 3 1 4 7 10 89 5.6 15.6 41 46.1% 4
Ja'Marr Chase WR CIN 5 16 6 8 10 12 23 19 8 10 14 8 16 11 9 10 185 11.6 28.9 125 67.6% 8
Cade Otton TE TB 3 4 4 5 6 9 5 12 5 7 2 4 2 4 9 81 5.1 14.5 59 72.8% 1
Darius Slayton WR NYG 1 3 4 4 6 5 7 4 2 3 10 2 3 9 63 4.5 12 37 58.7% 1
Gunner Olszewski WR NYG 1 2 1 9 13 0.8 2.5 10 76.9% 1
Kevin Austin Jr. WR NO 1 5 3 5 9 23 2.9 3.9 13 56.5% 1
Kenneth Gainwell RB PIT 4 5 1 6 6 2 2 5 3 8 6 3 7 7 7 4 9 85 5 15.5 73 85.9% 3
Kyle Pitts Sr. TE ATL 8 5 6 5 4 10 9 7 5 3 5 8 10 12 9 3 9 118 6.9 21.7 88 74.6% 5
Parker Washington WR JAX 5 11 2 3 4 10 9 7 2 7 3 3 10 10 9 95 5.9 16.9 58 61.1% 5
Tee Higgins WR CIN 4 8 2 6 7 8 10 2 9 8 6 11 3 5 9 98 6.5 15.3 59 60.2% 11
Tyrone Tracy Jr. RB NYG 4 5 3 3 4 2 4 4 1 3 2 2 9 46 3.2 9.1 36 75% 2
Xavier Hutchinson WR HOU 2 3 3 3 3 4 6 5 5 5 2 2 2 3 9 57 3.4 9.8 35 61.4% 3
Drake London WR ATL 15 4 8 10 16 10 14 8 9 8 2 8 112 9.3 20.6 68 60.7% 7
Jahan Dotson WR PHI 3 1 3 3 2 2 1 2 1 3 3 3 1 8 36 2.1 7.2 18 50% 1
Jaxon Smith-Njigba WR SEA 13 10 6 5 9 13 14 9 6 12 10 4 10 9 13 12 8 163 9.6 33.9 119 73% 10
Jameson Williams WR DET 5 4 3 8 1 7 2 6 7 7 3 10 9 9 9 3 8 101 6 17.5 65 63.7% 7
Michael Wilson WR ARI 4 2 2 6 4 5 4 4 7 18 15 7 16 11 3 10 8 126 7.4 19.4 78 61.9% 7
Trey McBride TE ARI 9 7 8 11 7 11 13 9 13 11 10 9 9 13 8 13 8 169 9.9 26 126 74.6% 11
Tyler Warren TE IND 9 7 5 6 4 9 5 5 7 10 7 4 6 6 9 5 8 112 6.6 20.5 76 67.9% 4
Alec Pierce WR IND 3 5 5 4 10 5 13 7 2 5 8 1 4 5 7 84 5.6 15.4 47 56% 6
Calvin Austin III WR PIT 6 4 5 2 6 6 7 1 5 2 2 1 1 7 55 3.9 10 31 56.4% 3
Christian McCaffrey RB SF 10 7 15 11 9 8 8 6 6 10 6 7 4 1 8 6 7 129 7.6 22.5 102 79.1% 7
Colby Parkinson TE LAR 2 2 1 3 2 5 2 4 5 5 7 4 7 7 56 3.7 9.4 43 76.8% 8
Darnell Mooney WR ATL 4 11 1 5 4 2 8 7 3 5 4 6 2 3 7 72 4.8 13.2 32 44.4% 1
Gabe Davis WR BUF 4 2 2 2 1 7 18 3 3.6 12 66.7% 1
George Kittle TE SF 4 2 5 4 9 6 10 5 9 8 7 69 6.3 12 57 82.6% 7
Isaiah Williams WR NYJ 4 1 4 1 3 7 4 5 7 36 2.4 7.3 26 72.2%
Jalen Coker WR CAR 2 4 1 4 4 4 6 4 5 2 7 43 3.9 8.3 33 76.7% 3
Marquez Valdes-Scantling WR PIT 1 1 3 3 1 1 3 9 7 29 2.9 5.3 14 48.3% 1
Ryan Flournoy WR DAL 3 2 9 6 2 2 1 1 3 13 5 2 7 56 3.5 9 40 71.4% 4
Tyjae Spears RB TEN 4 4 3 3 5 5 6 4 2 5 2 7 50 3.8 8.8 45 90%
Adam Thielen WR PIT 1 3 2 2 2 2 3 2 1 1 1 4 5 6 35 2.2 6.4 19 54.3%
Brenton Strange TE JAX 4 5 7 7 1 5 4 6 3 7 5 6 60 5 10.7 46 76.7% 3
Chase Brown RB CIN 3 3 5 3 8 2 4 3 14 8 4 7 4 7 4 3 6 88 5.2 13.8 69 78.4% 5
Jauan Jennings WR SF 5 10 4 3 7 7 5 9 6 7 6 5 6 4 6 90 6 15.7 55 61.1% 9
Jerry Jeudy WR CLE 8 8 5 9 5 13 4 2 12 7 3 4 5 4 4 7 6 106 6.2 19 50 47.2% 2
Jakobi Meyers WR JAX 10 12 4 7 6 4 6 3 6 6 6 10 7 8 9 6 110 6.9 19.5 75 68.2% 3
Marquise Brown WR KC 16 5 6 5 8 4 4 1 4 4 1 2 2 3 3 6 74 4.6 12.7 49 66.2% 5
Tre' Harris WR LAC 1 3 1 1 5 2 2 2 2 1 4 2 5 5 1 6 43 2.5 7.6 30 69.8% 1
Tyler Higbee TE LAR 4 2 5 4 6 4 3 2 6 36 3.6 6 25 69.4% 3
Travis Kelce TE KC 4 6 7 5 8 7 3 8 5 13 6 6 5 9 4 6 6 108 6.4 18.5 76 70.4% 5
Tetairoa McMillan WR CAR 9 10 8 8 8 5 5 10 6 8 12 7 2 4 10 4 6 122 7.2 23.7 70 57.4% 7
Tre Tucker WR LV 3 8 9 2 6 5 6 4 3 8 10 3 5 3 5 6 6 92 5.4 17.9 57 62% 5
Zay Flowers WR BAL 9 11 3 8 5 10 9 5 6 5 6 7 11 5 7 5 6 118 6.9 28 86 72.9% 5
Audric Estimé RB NO 3 4 1 5 13 1.9 2.2 12 92.3%

The NFL target stats below are updated with the conclusion of each game. In the data, you’ll be able to see which players have received the most targets on both a week-by-week basis and a season-long basis. This data can also be broken down to provide insights by team and position group. Seeing a running back with a high target volume, for example, can be a good indicator of how a coach wants to use him in the scheme. You’ll also be able to see which players lead the NFL in targets and who leads a particular team in target. You can cross reference this data with reception data to determine which player/QB connection is the most efficient with respect to targets.

Top Targeted NFL Players

One of the most underrated stats to focus on in sports betting is player targets. It's important to be aware of who is getting the most targets throughout the season, as it shows which players are the focal point of a particular offense. Sports bettors can then use this information to wager on different player props.

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