2018 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.

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
Corey Davis
78
TEN 1 13 7 4 15 6 4 7 10 10 4 4 7 3 6 5 7 112 7 26.4 65 58% 4
Keke Coutee N/A HOU 2 15 7 5 3 9 2 41 6.8 11.7 28 68.3% 1
Stefon Diggs
88
MIN 1 6 13 10 15 11 5 14 11 18 11 5 6 7 6 10 150 10 25.7 102 68% 9
Tyler Boyd
76
CIN 1 5 9 7 15 7 9 4 10 4 11 8 8 6 5 108 7.7 22.1 76 70.4% 7
Davante Adams
89
GB 1 8 12 9 14 12 16 7 9 7 12 8 13 11 13 18 169 11.3 27.1 111 65.7% 13
Dede Westbrook
82
JAX 1 6 5 4 13 5 5 4 6 10 4 4 5 10 5 8 7 101 6.3 16.5 66 65.3% 5
Tyreek Hill
89
KC 1 8 6 5 13 7 12 10 4 5 10 14 6 14 7 9 7 137 8.6 24 87 63.5% 12
Adam Thielen
90
MIN 1 12 13 19 12 10 15 10 7 7 12 9 10 7 2 6 4 155 9.7 28.2 113 72.9% 9
DeAndre Hopkins
92
HOU 1 11 11 10 12 13 6 8 7 12 6 6 12 10 11 12 16 163 10.2 28.7 115 70.6% 11
Julio Jones
99
ATL 1 19 9 6 12 9 14 12 10 11 9 14 8 11 8 5 13 170 10.6 28.3 113 66.5% 8
Nelson Agholor
83
PHI 1 10 12 5 12 4 5 7 6 7 2 1 8 3 2 7 6 97 6.1 17.2 64 66% 4
Antonio Brown
99
PIT 1 16 17 9 11 13 6 8 11 6 13 13 13 7 7 19 168 11.2 25.6 104 61.9% 15
Amari Cooper
85
DAL 1 3 10 5 11 1 1 8 10 5 9 8 13 7 5 11 107 7.1 18.7 75 70.1% 7
Cooper Kupp
78
LAR 1 9 6 6 11 9 1 6 8 56 7 14.6 40 71.4% 6
Chester Rogers
75
IND 2 3 3 4 11 11 10 4 1 1 2 4 6 1 7 4 72 4.5 12.2 53 73.6% 2
Geronimo Allison
70
GB 1 8 6 4 11 1 30 6 7.1 20 66.7% 2
JuJu Smith-Schuster
78
PIT 1 8 19 11 11 4 10 6 9 5 10 17 9 12 10 15 10 166 10.4 23.1 111 66.9% 7
Odell Beckham Jr
93
NYG 1 15 9 10 11 14 10 11 11 11 4 9 9 124 10.3 28.6 77 62.1% 6
Jarvis Landry
85
CLE 1 15 7 15 10 10 10 15 12 7 5 5 9 4 8 8 9 149 9.3 28 81 54.4% 4
Keenan Allen
94
LAC 1 11 8 7 10 9 6 5 10 9 12 7 19 9 8 7 136 8.5 27 97 71.3% 6
Sterling Shepard
84
NYG 1 7 5 7 10 7 7 8 8 3 2 6 6 6 9 7 9 107 6.7 17.4 66 61.7% 4
Zach Pascal
67
IND 3 1 2 10 7 7 1 1 1 6 2 7 46 2.9 6.6 27 58.7% 2
Antonio Callaway
68
CLE 1 1 4 10 9 5 7 2 6 5 2 5 6 1 7 1 7 78 4.9 14.1 43 55.1% 5
Alshon Jeffery N/A PHI 1 9 8 12 10 5 8 5 3 5 9 8 5 5 92 7.1 14.5 65 70.7% 6
Mike Evans
87
TB 1 7 12 11 9 5 11 13 10 6 7 8 6 6 9 10 9 139 8.7 22 86 61.9% 8
Mohamed Sanu
84
ATL 1 6 2 7 9 7 2 2 5 8 6 4 4 8 6 8 10 94 5.9 13.2 66 70.2% 4
Taywan Taylor
77
TEN 2 1 4 5 9 5 2 2 2 5 7 5 3 6 56 4.3 9.9 37 66.1% 1
AJ Green
95
CIN 1 8 9 8 8 10 12 14 7 1 77 8.6 18.9 46 59.7% 6
Brandin Cooks
88
LAR 1 8 9 8 8 6 5 8 8 12 12 6 7 7 3 9 117 7.3 21.9 80 68.4% 5
DeSean Jackson
87
TB 2 5 4 5 8 9 5 8 4 8 7 8 4 74 6.2 15.6 41 55.4% 4
Golden Tate
91
PHI 1 15 13 8 8 7 6 12 4 8 8 7 3 5 3 6 113 7.5 21.5 74 65.5% 4
Jordy Nelson
85
OAK 1 4 4 8 8 4 3 4 3 1 1 11 7 8 10 12 88 5.9 10.3 63 71.6% 3
Michael Crabtree
82
BAL 1 6 10 10 8 12 9 9 5 7 3 6 4 4 1 4 2 100 6.2 19.5 54 54% 3
Quincy Enunwa
77
NYJ 1 10 11 8 8 5 1 4 8 4 6 4 69 6.3 16 38 55.1% 1
Adam Humphries
81
TB 1 5 2 5 7 4 8 10 8 3 5 6 9 8 6 12 6 105 6.6 14.3 76 72.4% 5
Doug Baldwin
91
SEA 1 1 7 1 8 3 4 5 10 7 4 6 12 5 73 5.6 14.9 50 68.5% 5
Demaryius Thomas
86
HOU 3 10 11 5 7 6 4 6 7 3 1 5 5 6 8 5 89 5.9 18 59 66.3% 5
Emmanuel Sanders
87
DEN 1 11 4 8 7 14 10 7 4 9 6 12 6 98 8.2 23.5 71 72.4% 4
John Brown
77
BAL 1 4 10 9 7 14 3 7 7 6 1 7 4 6 3 6 3 97 6.1 17.2 42 43.3% 5
Larry Fitzgerald
87
ARI 1 10 5 2 7 3 8 8 12 10 4 2 6 9 8 9 9 112 7 21.7 69 61.6% 6
Laquon Treadwell
71
MIN 2 4 6 4 7 4 4 3 5 2 3 3 2 3 1 2 53 3.5 10.1 35 66% 1
Martavis Bryant N/A OAK 5 4 5 7 3 3 2 3 27 3.4 7 19 70.4% 0
Phillip Dorsett
74
NE 2 7 7 5 7 3 1 3 2 2 5 42 2.6 9.1 32 76.2% 3
Pierre Garcon
85
SF 1 6 4 4 7 12 6 1 5 45 5.6 12.8 24 53.3% 1
Ryan Grant
76
IND 2 9 2 4 7 9 5 1 3 1 2 1 2 3 2 51 3.6 9.3 35 68.6% 1
Ryan Switzer
76
PIT 3 1 2 3 7 1 1 1 4 2 3 8 2 1 2 3 3 44 2.8 6.9 36 81.8% 1
Taylor Gabriel
83
CHI 1 5 7 10 7 5 4 6 5 3 9 8 7 7 3 3 4 93 5.8 19.2 67 72% 2
Willie Snead
75
BAL 1 6 8 5 7 7 10 7 11 8 8 3 7 6 2 95 5.9 17.7 62 65.3% 1
Zay Jones
77
BUF 1 6 3 1 7 4 8 5 8 6 11 1 9 9 6 9 9 102 6.4 17.9 56 54.9% 7
Albert Wilson
78
MIA 3 4 5 2 6 6 9 3 35 5 10.5 26 74.3% 4

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.