2018 Tight End (TE) Targets
While tight end scoring is down this season, targets still are key for tight ends in the fantasy world. With blocking tight ends sometimes taking snaps away from receiving tight ends, we still need to watch who is getting the workload. Some tight ends have essentially become wide receivers, like Zach Ertz, Travis Kelce, and Rob Gronkowski. These names tend to see 7+ targets most weeks. Guys like Jason Witten who can have a blocking role on some weeks, the peaks and valleys of targets can be kept track of on a week-to-week basis. In fantasy purposes, the consistent target share should keep something to keep an eye on, as someone like Darren Fells may be playing snaps, but only sees a few targets a week. Sort through each week or search a singular player to gauge his target share within an offense. This will help narrow down your list of tight ends.
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|
|
|---|---|
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|
83
|
|
|
97
|
|
|
88
|
|
|
92
|
|
|
76
|
|
|
86
|
|
|
76
|
|
|
79
|
|
|
N/A |
|
|
80
|
|
|
66
|
|
|
N/A |
|
|
82
|
|
|
69
|
|
|
81
|
|
|
67
|
|
|
95
|
|
|
98
|
|
|
N/A |
|
|
78
|
|
|
75
|
|
|
76
|
|
|
75
|
|
|
69
|
|
|
87
|
|
|
76
|
|
|
73
|
|
|
65
|
|
|
76
|
|
|
N/A |
|
|
82
|
|
|
N/A |
|
|
68
|
|
|
73
|
|
|
65
|
|
|
76
|
|
|
N/A |
|
|
77
|
|
|
78
|
|
|
81
|
|
|
79
|
|
|
61
|
|
|
68
|
|
|
73
|
|
|
90
|
|
|
68
|
|
|
N/A |
|
|
76
|
|
|
67
|
|
|
N/A |
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|
|
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|
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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83
|
IND | 1 | 5 | 4 | 11 | 10 | 15 | 7 | 7 | 3 | 3 | 7 | 16 | 8 | 96 | 7.4 | 16.3 | 58 | 60.4% | 12 | |||||
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|
97
|
KC | 1 | 6 | 10 | 10 | 12 | 8 | 9 | 5 | 10 | 9 | 7 | 15 | 13 | 9 | 123 | 9.5 | 25.8 | 86 | 69.9% | 10 | ||||
|
|
88
|
GB | 1 | 4 | 8 | 7 | 6 | 11 | 9 | 4 | 6 | 1 | 1 | 4 | 11 | 5 | 77 | 5.9 | 14.5 | 46 | 59.7% | 2 | ||||
|
|
92
|
PHI | 1 | 10 | 13 | 10 | 14 | 11 | 9 | 11 | 6 | 16 | 3 | 8 | 10 | 8 | 129 | 9.9 | 26.9 | 98 | 76% | 6 | ||||
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|
76
|
SF | 1 | 9 | 4 | 7 | 8 | 7 | 6 | 8 | 8 | 4 | 10 | 12 | 9 | 9 | 102 | 7.8 | 23.6 | 69 | 67.6% | 4 | ||||
|
|
86
|
OAK | 1 | 12 | 4 | 6 | 13 | 6 | 2 | 5 | 2 | 9 | 6 | 5 | 8 | 10 | 88 | 6.8 | 18.1 | 61 | 69.3% | 6 | ||||
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|
76
|
CIN | 1 | 1 | 4 | 2 | 1 | 2 | 7 | 2 | 4 | 4 | 5 | 13 | 7 | 3 | 53 | 4.1 | 11.2 | 37 | 69.8% | 2 | ||||
|
|
79
|
NYG | 2 | 1 | 2 | 3 | 5 | 3 | 2 | 1 | 1 | 1 | 6 | 7 | 31 | 2.6 | 6.2 | 23 | 74.2% | 1 | ||||||
|
|
N/A | PIT | 1 | 5 | 5 | 5 | 2 | 8 | 3 | 6 | 4 | 6 | 5 | 7 | 4 | 60 | 5 | 10.3 | 44 | 73.3% | 3 | |||||
|
|
80
|
TB | 1 | 2 | 4 | 4 | 1 | 4 | 2 | 3 | 3 | 3 | 4 | 6 | 4 | 40 | 3.1 | 6.7 | 25 | 62.5% | 6 | |||||
|
|
66
|
NYJ | 1 | 4 | 2 | 1 | 2 | 7 | 2 | 4 | 4 | 8 | 6 | 2 | 42 | 3.8 | 9.2 | 29 | 69% | 3 | ||||||
|
|
N/A | KC | 2 | 3 | 3 | 2 | 2 | 1 | 2 | 6 | 3 | 22 | 1.8 | 3.3 | 12 | 54.5% | 3 | |||||||||
|
|
82
|
CLE | 1 | 7 | 7 | 2 | 7 | 11 | 12 | 6 | 5 | 1 | 5 | 6 | 4 | 73 | 5.6 | 15.9 | 47 | 64.4% | 3 | |||||
|
|
69
|
DET | 2 | 1 | 2 | 1 | 1 | 1 | 1 | 6 | 2 | 15 | 1.2 | 1.7 | 12 | 80% | 0 | |||||||||
|
|
81
|
ATL | 1 | 4 | 5 | 4 | 2 | 12 | 10 | 4 | 3 | 11 | 8 | 5 | 5 | 6 | 79 | 6.1 | 15.4 | 64 | 81% | 4 | ||||
|
|
67
|
CAR | 1 | 2 | 3 | 5 | 6 | 1 | 5 | 11 | 33 | 2.5 | 4.7 | 25 | 75.8% | 0 | ||||||||||
|
|
95
|
WAS | 1 | 5 | 8 | 7 | 2 | 9 | 4 | 12 | 6 | 6 | 11 | 8 | 5 | 1 | 84 | 6.5 | 20.6 | 54 | 64.3% | 2 | ||||
|
|
98
|
NE | 1 | 8 | 4 | 5 | 7 | 7 | 4 | 8 | 7 | 4 | 8 | 62 | 6.2 | 12.3 | 43 | 69.4% | 3 | |||||||
|
|
N/A | TEN | 2 | 2 | 1 | 3 | 4 | 3 | 3 | 16 | 2.3 | 2 | 16 | 100% | 1 | |||||||||||
|
|
78
|
PHI | 2 | 3 | 7 | 2 | 2 | 1 | 5 | 1 | 1 | 4 | 3 | 5 | 36 | 2.8 | 6.8 | 25 | 69.4% | 4 | ||||||
|
|
75
|
LAR | 1 | 2 | 2 | 1 | 3 | 4 | 2 | 2 | 5 | 2 | 4 | 3 | 7 | 37 | 2.8 | 7 | 23 | 62.2% | 3 | |||||
|
|
76
|
PIT | 2 | 5 | 5 | 1 | 1 | 2 | 7 | 3 | 3 | 1 | 4 | 3 | 2 | 37 | 2.8 | 6.7 | 29 | 78.4% | 2 | |||||
|
|
75
|
TEN | 1 | 3 | 2 | 2 | 2 | 1 | 3 | 2 | 3 | 8 | 2 | 3 | 31 | 2.4 | 8.6 | 20 | 64.5% | 3 | ||||||
|
|
69
|
HOU | 1 | 2 | 3 | 2 | 1 | 1 | 4 | 1 | 1 | 2 | 3 | 4 | 24 | 1.8 | 4.5 | 18 | 75% | 4 | ||||||
|
|
87
|
MIN | 1 | 2 | 8 | 6 | 6 | 5 | 4 | 4 | 7 | 2 | 5 | 7 | 3 | 59 | 4.9 | 12.5 | 46 | 78% | 2 | |||||
|
|
76
|
BAL | 1 | 4 | 4 | 3 | 2 | 3 | 4 | 1 | 5 | 6 | 1 | 1 | 3 | 2 | 39 | 3 | 7.8 | 26 | 66.7% | 2 | ||||
|
|
73
|
ARI | 1 | 6 | 6 | 3 | 4 | 6 | 6 | 4 | 4 | 9 | 3 | 2 | 3 | 5 | 61 | 4.7 | 16.2 | 30 | 49.2% | 1 | ||||
|
|
65
|
NYG | 3 | 1 | 1 | 3 | 1 | 3 | 9 | 0.7 | 1.5 | 4 | 44.4% | 0 | ||||||||||||
|
|
76
|
LAR | 2 | 2 | 2 | 1 | 4 | 1 | 1 | 4 | 3 | 7 | 3 | 1 | 30 | 2.3 | 6.5 | 20 | 66.7% | 2 | ||||||
|
|
N/A | CHI | 2 | 2 | 2 | 1 | 0 | 2 | 100% | 1 | ||||||||||||||||
|
|
82
|
BUF | 1 | 2 | 3 | 3 | 6 | 1 | 5 | 5 | 6 | 2 | 2 | 35 | 3.2 | 9.2 | 21 | 60% | 0 | |||||||
|
|
N/A | NO | 5 | 3 | 1 | 3 | 2 | 6 | 2 | 17 | 2.1 | 4.1 | 12 | 70.6% | 1 | |||||||||||
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|
68
|
DAL | 2 | 3 | 2 | 1 | 2 | 3 | 11 | 1.4 | 1.8 | 8 | 72.7% | 0 | ||||||||||||
|
|
73
|
NYJ | 2 | 1 | 4 | 1 | 1 | 1 | 2 | 1 | 4 | 2 | 2 | 19 | 1.6 | 4.1 | 11 | 57.9% | 1 | |||||||
|
|
65
|
JAX | 1 | 2 | 1 | 1 | 3 | 6 | 4 | 6 | 2 | 2 | 2 | 4 | 33 | 3 | 6.8 | 20 | 60.6% | 0 | ||||||
|
|
76
|
DET | 3 | 1 | 1 | 3 | 2 | 2 | 4 | 2 | 1 | 1 | 2 | 19 | 1.6 | 4.1 | 13 | 68.4% | 0 | |||||||
|
|
N/A | CIN | 2 | 1 | 1 | 1 | 1 | 2 | 6 | 1.2 | 1 | 3 | 50% | 1 | ||||||||||||
|
|
77
|
BAL | 2 | 6 | 4 | 1 | 5 | 2 | 4 | 2 | 3 | 4 | 2 | 2 | 35 | 2.7 | 7.6 | 21 | 60% | 0 | ||||||
|
|
78
|
CLE | 2 | 1 | 2 | 1 | 2 | 6 | 0.6 | 1 | 4 | 66.7% | 1 | |||||||||||||
|
|
81
|
WAS | 2 | 1 | 1 | 2 | 3 | 3 | 3 | 7 | 1 | 2 | 4 | 2 | 4 | 33 | 2.5 | 7.1 | 23 | 69.7% | 2 | |||||
|
|
79
|
LAC | 1 | 3 | 1 | 5 | 5 | 2 | 2 | 3 | 2 | 7 | 1 | 1 | 2 | 34 | 2.6 | 8.9 | 21 | 61.8% | 2 | |||||
|
|
61
|
CHI | 4 | 1 | 1 | 1 | 1 | 4 | 0.3 | 0.8 | 2 | 50% | 0 | |||||||||||||
|
|
68
|
DAL | 1 | 1 | 1 | 2 | 1 | 1 | 2 | 2 | 1 | 7 | 18 | 1.4 | 3 | 14 | 77.8% | 0 | ||||||||
|
|
73
|
IND | 2 | 1 | 1 | 3 | 2 | 1 | 1 | 1 | 10 | 1.4 | 1.8 | 8 | 80% | 3 | ||||||||||
|
|
90
|
CAR | 3 | 2 | 7 | 5 | 4 | 6 | 6 | 3 | 4 | 1 | 38 | 4.2 | 10.2 | 27 | 71.1% | 4 | ||||||||
|
|
68
|
HOU | 3 | 2 | 2 | 1 | 3 | 2 | 1 | 3 | 2 | 1 | 1 | 2 | 20 | 1.5 | 4.8 | 15 | 75% | 0 | ||||||
|
|
N/A | CIN | 3 | 1 | 1 | 1 | 3 | 1 | 0.5 | 2 | 66.7% | 0 | ||||||||||||||
|
|
76
|
OAK | 2 | 4 | 2 | 2 | 1 | 1 | 10 | 0.8 | 2.1 | 9 | 90% | 2 | ||||||||||||
|
|
67
|
DEN | 1 | 1 | 1 | 2 | 4 | 1 | 5 | 1 | 2 | 4 | 1 | 1 | 23 | 1.8 | 5.4 | 15 | 65.2% | 1 | ||||||
|
|
N/A | TEN | 3 | 1 | 1 | 1 | 1 | 4 | 0.3 | 0.3 | 4 | 100% | 0 |
While tight end scoring is down this season, targets still are key for tight ends in the fantasy world. With blocking tight ends sometimes taking snaps away from receiving tight ends, we still need to watch who is getting the workload. Some tight ends have essentially become wide receivers, like Zach Ertz, Travis Kelce, and Rob Gronkowski. These names tend to see 7+ targets most weeks. Guys like Jason Witten who can have a blocking role on some weeks, the peaks and valleys of targets can be kept track of on a week-to-week basis. In fantasy purposes, the consistent target share should keep something to keep an eye on, as someone like Darren Fells may be playing snaps, but only sees a few targets a week. Sort through each week or search a singular player to gauge his target share within an offense. This will help narrow down your list of tight ends.
