2019-2020 Wide Receiver (WR) Targets

We have some true top end wide receivers in the game right now averaging over ten targets per game, and deservingly so. Each week there are a handful of wideouts that surface the top of these lists of targets. Antonio Brown and DeAndre Hopkins to name a few. Targets generate fantasy points, even if they are inefficient targets like playing under a bad quarterback. If a WR1 goes down, targets are up for grabs, and narrowing down the wide receivers that will see a tick upwards in usage. Every team works differently, as some teams spread out targets evenly, while others tend to focus on one or two targets heavily. The table will point out trends as to who gets the most targets each week, while sometimes you can find reasons why numbers increase and decrease. With passing games being in high volume, this is one of the more key stats in football.

We have some true top end wide receivers in the game right now averaging over ten targets per game, and deservingly so. Each week there are a handful of wideouts that surface the top of these lists of targets. Antonio Brown and DeAndre Hopkins to name a few. Targets generate fantasy points, even if they are inefficient targets like playing under a bad quarterback. If a WR1 goes down, targets are up for grabs, and narrowing down the wide receivers that will see a tick upwards in usage. Every team works differently, as some teams spread out targets evenly, while others tend to focus on one or two targets heavily. The table will point out trends as to who gets the most targets each week, while sometimes you can find reasons why numbers increase and decrease. With passing games being in high volume, this is one of the more key stats in football.

NAME RTG TEAM DEPTH Wk 1 Wk 2 Wk 3 Wk 4 Wk 5 Wk 6 Wk 7 Wk 8 Wk 9 Wk 10 Wk 11 Wk 12 Wk 13 Wk 14 Wk 15 Wk 16 Wk 17 Total Avg TM TGT % Rec Catch % TD
Cooper Kupp
86
LAR 1 10 9 12 15 17 6 8 10 4 3 6 4 6 4 10 134 8.4 21.2 94 70.1% 10
Davante Adams
94
GB 1 8 9 4 15 11 10 12 10 6 13 16 13 127 10.6 22.2 83 65.4% 5
Robert Woods
88
LAR 1 13 2 8 15 9 4 7 2 11 19 9 9 11 12 139 9.3 22 90 64.7% 2
Chris Godwin
83
TB 1 6 9 4 14 9 12 8 9 12 6 8 6 9 7 120 8.6 19 86 71.7% 9
Cole Beasley
84
BUF 1 9 4 10 12 3 6 7 2 6 4 9 7 7 6 12 104 6.9 20.3 67 64.4% 6
Mohamed Sanu
80
NE 2 6 7 6 12 5 4 2 5 14 4 5 1 8 5 5 89 5.9 14.4 59 66.3% 2
John Brown
77
BUF 1 10 8 5 11 5 6 8 7 11 14 4 4 8 10 4 115 7.7 22.4 72 62.6% 6
Jarvis Landry
82
CLE 1 7 7 9 10 6 5 10 13 10 7 13 11 7 8 9 6 138 8.6 25.6 83 60.1% 6
Alshon Jeffery
88
PHI 1 7 9 8 12 5 6 8 16 2 73 7.3 11.9 43 58.9% 4
Brandin Cooks
89
LAR 1 6 4 12 9 3 3 7 1 2 2 8 6 5 72 5.1 11.4 42 58.3% 2
Courtland Sutton
74
DEN 1 8 7 7 9 7 8 8 6 8 9 8 5 7 10 10 8 125 7.8 24.8 72 57.6% 6
Demarcus Robinson
75
KC 5 2 6 4 9 6 4 5 2 2 5 1 2 3 2 2 55 3.4 9.5 32 58.2% 4
Emmanuel Sanders
89
SF 1 7 13 5 9 1 3 6 5 9 4 5 1 6 9 4 6 4 97 5.7 20.3 66 68% 5
Kenny Golladay
84
DET 1 9 10 8 9 9 2 8 7 9 5 4 5 8 7 12 4 116 7.2 20.3 65 56% 11
Michael Thomas
94
NO 1 13 13 7 9 13 12 11 11 14 10 11 8 15 12 17 9 185 11.6 31.8 149 80.5% 9
Phillip Dorsett
78
NE 5 4 3 7 9 4 6 4 5 6 2 4 54 3.9 8.7 29 53.7% 5
Sterling Shepard
83
NYG 1 7 9 9 10 9 7 7 11 6 10 83 8.3 13.7 57 68.7% 3
Amari Cooper
87
DAL 1 9 5 7 8 14 2 5 7 14 8 2 11 8 2 12 5 119 7.4 19.9 79 66.4% 8
D.J. Chark
70
JAX 1 4 9 5 8 11 7 5 12 9 15 6 5 10 7 5 118 7.9 20 73 61.9% 8
DeAndre Hopkins
97
HOU 1 13 8 7 8 8 12 12 13 11 12 8 8 13 8 9 150 10 28.1 104 69.3% 7
Parris Campbell
70
IND 3 1 1 3 8 1 5 5 24 3.4 4.7 18 75% 1
Zay Jones
76
LV 1 4 3 3 8 2 4 3 3 2 3 3 2 3 2 45 3 8.6 27 60% 0
Allen Robinson
85
CHI 1 13 7 7 7 8 16 7 5 9 6 10 12 8 14 12 12 154 9.6 26.6 98 63.6% 7
Curtis Samuel
77
CAR 1 4 13 7 7 6 6 11 6 8 7 4 7 4 8 5 4 106 6.6 16.7 54 50.9% 6
Dontrelle Inman
73
IND 5 1 2 3 7 3 2 3 21 3 4.1 12 57.1% 0
Julian Edelman
90
NE 1 11 4 10 7 9 15 12 11 11 10 12 12 12 5 6 7 153 9.6 24.7 100 65.4% 6
Josh Gordon
85
SEA 2 4 5 11 7 8 1 2 2 1 5 1 47 4.3 9.1 27 57.4% 1
Julio Jones
97
ATL 1 11 10 9 7 7 9 9 12 9 8 9 8 20 15 13 157 10.5 23 99 63.1% 6
Marquise Brown
76
BAL 1 5 13 9 7 5 4 4 4 2 3 4 2 2 71 5.1 16.1 46 64.8% 7
Mike Evans
93
TB 1 5 8 15 7 3 17 12 16 6 8 8 11 2 118 9.1 18.7 67 56.8% 8
Marquez Valdes-Scantling
76
GB 1 6 5 10 7 4 2 3 2 2 1 3 2 1 1 7 56 3.5 9.8 26 46.4% 2
Odell Beckham Jr
97
CLE 1 11 10 9 7 6 11 7 6 12 10 8 6 5 13 6 6 133 8.3 24.7 74 55.6% 4
Preston Williams
72
MIA 2 5 6 12 7 6 8 7 9 60 7.5 9.8 32 53.3% 3
Stefon Diggs
92
MIN 1 2 7 3 7 4 11 8 7 5 6 5 9 9 6 5 94 6.3 20.2 63 67% 6
Tyrell Williams
81
LV 1 7 7 3 7 6 4 5 4 6 4 4 3 4 64 4.6 12.2 42 65.6% 6
Zach Pascal
67
IND 1 3 7 2 7 2 6 7 6 1 10 9 6 3 3 72 4.5 14 41 56.9% 5
Auden Tate
65
CIN 2 2 10 6 6 12 6 13 6 6 3 7 4 80 6.7 13 40 50% 1
Adam Thielen
93
MIN 1 3 8 5 6 8 8 2 1 3 4 48 4.8 10.3 30 62.5% 6
Corey Davis
81
TEN 1 3 5 4 6 4 5 7 6 5 3 2 4 6 4 5 69 4.6 15.4 43 62.3% 2
Calvin Ridley
77
ATL 1 6 10 1 6 9 6 6 7 5 8 14 10 5 93 7.2 13.6 63 67.7% 7
Chester Rogers
75
IND 5 4 6 1 2 2 5 4 2 1 28 2.3 5.5 16 57.1% 2
Diontae Johnson
71
PIT 2 5 4 6 6 8 2 7 2 6 4 6 5 8 7 9 7 92 5.8 18 59 64.1% 5
Dede Westbrook
78
JAX 1 6 5 9 6 11 8 9 1 6 9 8 7 4 4 8 101 6.7 17.1 66 65.3% 3
John Ross
75
CIN 1 12 8 6 6 3 3 13 5 56 7 9.1 28 50% 3
Jarius Wright
73
CAR 5 1 6 2 6 3 3 4 4 2 2 1 5 5 4 5 5 58 3.6 9.2 28 48.3% 0
Randall Cobb
82
DAL 1 5 6 4 6 6 3 8 8 7 7 3 5 2 7 6 83 5.5 13.9 55 66.3% 3
Sammy Watkins
81
KC 1 11 13 8 6 8 10 9 3 3 8 4 5 2 90 6.4 15.6 52 57.8% 3
Tyler Boyd
84
CIN 1 11 10 11 6 14 7 14 9 8 3 9 10 6 7 15 7 147 9.2 23.9 90 61.2% 5
Will Fuller
80
HOU 1 3 7 7 6 16 9 1 11 2 7 2 71 6.5 13.3 49 69% 3
Christian Kirk
75
ARI 1 12 7 12 5 11 5 10 9 7 9 5 5 10 107 8.2 19.3 68 63.6% 3

We have some true top end wide receivers in the game right now averaging over ten targets per game, and deservingly so. Each week there are a handful of wideouts that surface the top of these lists of targets. Antonio Brown and DeAndre Hopkins to name a few. Targets generate fantasy points, even if they are inefficient targets like playing under a bad quarterback. If a WR1 goes down, targets are up for grabs, and narrowing down the wide receivers that will see a tick upwards in usage. Every team works differently, as some teams spread out targets evenly, while others tend to focus on one or two targets heavily. The table will point out trends as to who gets the most targets each week, while sometimes you can find reasons why numbers increase and decrease. With passing games being in high volume, this is one of the more key stats in football.