Wide Receiver (WR) Red Zone Targets
Bigger bodied wide receivers are used much more in the red zone than smaller receivers. While there are some exceptions, we look at the sure-handed guys who have advantages over smaller cornerbacks. WR1s can dominate in the red zone for usage, mainly because of their size differential. Mike Evans is a prime example of that, who has had a few weeks with multiple red zone targets. In some cases, that is not the same, like Julio Jones seeing two red zone targets through the first six weeks of the season. Much like the other positions, red zone targets correlate with scoring touchdowns, which means fantasy points. Guys with higher targets are ahead of others when looking at the touchdown leaders. DeAndre Hopkins is a prime example, who has five red zone touchdowns this season, and 11 red zone targets. His total for the year so far is eight receiving touchdowns.
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|
|
|---|---|
|
|
85
|
|
|
95
|
|
|
90
|
|
|
78
|
|
|
78
|
|
|
84
|
|
|
76
|
|
|
68
|
|
|
92
|
|
|
75
|
|
|
88
|
|
|
78
|
|
|
79
|
|
|
92
|
|
|
73
|
|
|
85
|
|
|
85
|
|
|
89
|
|
|
83
|
|
|
77
|
|
|
83
|
|
|
83
|
|
|
89
|
|
|
77
|
|
|
65
|
|
|
99
|
|
|
63
|
|
|
82
|
|
|
85
|
|
|
82
|
|
|
80
|
|
|
82
|
|
|
77
|
|
|
75
|
|
|
74
|
|
|
89
|
|
|
75
|
|
|
80
|
|
|
76
|
|
|
75
|
|
|
94
|
|
|
60
|
|
|
77
|
|
|
68
|
|
|
87
|
|
|
83
|
|
|
82
|
|
|
71
|
|
|
89
|
|
|
93
|
|
|
|
|
|
|
|
|
|
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|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
85
|
DAL | 1 | 4 | 2 | 1 | 1 | 1 | 13 | 0.9 | 6 | 46.2% | 3 | ||||||||||||
|
|
95
|
CIN | 1 | 1 | 3 | 2 | 3 | 2 | 1 | 2 | 1 | 15 | 1.7 | 6 | 40% | 4 | |||||||||
|
|
90
|
MIN | 1 | 1 | 1 | 3 | 2 | 2 | 2 | 2 | 2 | 1 | 1 | 2 | 1 | 20 | 1.2 | 15 | 75% | 6 | |||||
|
|
78
|
LAR | 1 | 3 | 3 | 1 | 3 | 1 | 1 | 12 | 1.5 | 8 | 66.7% | 3 | |||||||||||
|
|
78
|
PIT | 1 | 8 | 2 | 3 | 2 | 1 | 1 | 2 | 1 | 1 | 2 | 4 | 1 | 1 | 29 | 1.8 | 16 | 55.2% | 5 | ||||
|
|
84
|
NYG | 1 | 1 | 2 | 3 | 3 | 1 | 1 | 1 | 3 | 1 | 19 | 1.2 | 9 | 47.4% | 4 | ||||||||
|
|
76
|
CIN | 1 | 1 | 1 | 3 | 2 | 1 | 2 | 10 | 0.7 | 9 | 90% | 5 | |||||||||||
|
|
68
|
CLE | 1 | 2 | 1 | 1 | 2 | 1 | 1 | 8 | 0.5 | 6 | 75% | 4 | |||||||||||
|
|
92
|
PHI | 1 | 2 | 2 | 3 | 2 | 1 | 1 | 1 | 1 | 1 | 14 | 1.1 | 8 | 57.1% | 6 | ||||||||
|
|
75
|
MIN | 2 | 1 | 1 | 4 | 0.3 | 3 | 75% | 3 | |||||||||||||||
|
|
88
|
LAR | 1 | 1 | 2 | 2 | 2 | 2 | 1 | 2 | 1 | 1 | 1 | 2 | 17 | 1.1 | 15 | 88.2% | 4 | ||||||
|
|
78
|
TEN | 1 | 3 | 1 | 2 | 3 | 2 | 1 | 1 | 15 | 0.9 | 6 | 40% | 2 | ||||||||||
|
|
79
|
ATL | 1 | 1 | 2 | 2 | 2 | 1 | 1 | 9 | 0.6 | 7 | 77.8% | 6 | |||||||||||
|
|
92
|
HOU | 1 | 2 | 2 | 2 | 3 | 1 | 2 | 2 | 1 | 2 | 4 | 2 | 1 | 1 | 25 | 1.6 | 15 | 60% | 8 | ||||
|
|
73
|
KC | 1 | 1 | 2 | 1 | 1 | 1 | 6 | 0.4 | 5 | 83.3% | 3 | ||||||||||||
|
|
85
|
CLE | 1 | 1 | 3 | 2 | 1 | 2 | 4 | 2 | 1 | 1 | 1 | 1 | 19 | 1.2 | 10 | 52.6% | 2 | ||||||
|
|
85
|
OAK | 1 | 1 | 2 | 1 | 1 | 2 | 1 | 9 | 0.6 | 5 | 55.6% | 3 | |||||||||||
|
|
89
|
NO | 1 | 3 | 4 | 2 | 2 | 1 | 2 | 1 | 4 | 1 | 3 | 1 | 3 | 1 | 28 | 1.8 | 23 | 82.1% | 7 | ||||
|
|
83
|
PHI | 1 | 3 | 1 | 2 | 1 | 1 | 1 | 1 | 2 | 12 | 0.8 | 8 | 66.7% | 2 | |||||||||
|
|
77
|
NYJ | 1 | 3 | 1 | 2 | 1 | 1 | 1 | 9 | 0.8 | 4 | 44.4% | 0 | |||||||||||
|
|
83
|
CHI | 1 | 1 | 2 | 2 | 1 | 2 | 8 | 0.5 | 5 | 62.5% | 2 | ||||||||||||
|
|
83
|
NO | 1 | 1 | 1 | 2 | 4 | 0.8 | 1 | 25% | 1 | ||||||||||||||
|
|
89
|
KC | 1 | 1 | 2 | 2 | 2 | 2 | 2 | 1 | 2 | 2 | 16 | 1 | 10 | 62.5% | 5 | ||||||||
|
|
77
|
TEN | 1 | 1 | 2 | 2 | 1 | 1 | 2 | 1 | 10 | 0.6 | 4 | 40% | 2 | ||||||||||
|
|
65
|
NO | 1 | 2 | 1 | 1 | 2 | 1 | 1 | 2 | 10 | 0.7 | 4 | 40% | 3 | ||||||||||
|
|
99
|
PIT | 1 | 2 | 2 | 1 | 4 | 1 | 3 | 1 | 2 | 3 | 1 | 4 | 24 | 1.6 | 11 | 45.8% | 6 | ||||||
|
|
63
|
CIN | 2 | 1 | 1 | 1 | 3 | 0.2 | 1 | 33.3% | 0 | ||||||||||||||
|
|
82
|
DAL | 1 | 1 | 1 | 2 | 1 | 5 | 0.3 | 2 | 40% | 1 | |||||||||||||
|
|
85
|
CHI | 1 | 2 | 3 | 1 | 1 | 1 | 1 | 1 | 3 | 1 | 14 | 1.1 | 5 | 35.7% | 2 | ||||||||
|
|
82
|
NO | 2 | 1 | 3 | 0.4 | 1 | 33.3% | 1 | ||||||||||||||||
|
|
80
|
DAL | 1 | 1 | 1 | 3 | 1 | 1 | 1 | 1 | 10 | 0.6 | 6 | 60% | 2 | ||||||||||
|
|
82
|
NO | 2 | 1 | 1 | 2 | 0.3 | 1 | 50% | 1 | |||||||||||||||
|
|
77
|
NE | 2 | 1 | 1 | 1 | 3 | 0.2 | 1 | 33.3% | 1 | ||||||||||||||
|
|
75
|
IND | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 7 | 0.4 | 3 | 42.9% | 2 | |||||||||||
|
|
74
|
ARI | 1 | 1 | 1 | 1 | 1 | 1 | 5 | 0.5 | 1 | 20% | 0 | ||||||||||||
|
|
89
|
GB | 1 | 2 | 3 | 2 | 1 | 2 | 5 | 2 | 4 | 3 | 2 | 1 | 2 | 3 | 31 | 2.1 | 16 | 51.6% | 12 | ||||
|
|
75
|
CHI | 2 | 1 | 1 | 0.1 | 1 | 100% | 1 | ||||||||||||||||
|
|
80
|
NE | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 8 | 0.7 | 3 | 37.5% | 1 | ||||||||||
|
|
76
|
ATL | 1 | 1 | 3 | 1 | 6 | 0.4 | 4 | 66.7% | 2 | ||||||||||||||
|
|
75
|
PHI | 2 | 1 | 2 | 1 | 4 | 0.3 | 2 | 50% | 1 | ||||||||||||||
|
|
94
|
LAC | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 2 | 2 | 1 | 3 | 15 | 0.9 | 11 | 73.3% | 6 | |||||||
|
|
60
|
SF | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 12 | 0.8 | 9 | 75% | 4 | ||||||
|
|
77
|
JAX | 1 | 1 | 3 | 2 | 1 | 7 | 0.4 | 3 | 42.9% | 0 | |||||||||||||
|
|
68
|
HOU | 1 | 1 | 1 | 1 | 2 | 5 | 0.8 | 4 | 80% | 1 | |||||||||||||
|
|
87
|
ARI | 1 | 1 | 1 | 1 | 2 | 3 | 1 | 2 | 1 | 2 | 14 | 0.9 | 8 | 57.1% | 5 | ||||||||
|
|
83
|
OAK | 1 | 1 | 2 | 0.2 | 2 | 100% | 0 | ||||||||||||||||
|
|
82
|
BAL | 1 | 1 | 3 | 1 | 1 | 2 | 2 | 11 | 0.7 | 5 | 45.5% | 3 | |||||||||||
|
|
71
|
DAL | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 | 0.5 | 3 | 37.5% | 1 | ||||||||||
|
|
89
|
DET | 1 | 2 | 3 | 1 | 1 | 1 | 1 | 1 | 1 | 11 | 1.2 | 5 | 45.5% | 3 | |||||||||
|
|
93
|
NYG | 1 | 2 | 1 | 1 | 2 | 2 | 1 | 4 | 1 | 1 | 1 | 20 | 1.7 | 7 | 35% | 5 |
Bigger bodied wide receivers are used much more in the red zone than smaller receivers. While there are some exceptions, we look at the sure-handed guys who have advantages over smaller cornerbacks. WR1s can dominate in the red zone for usage, mainly because of their size differential. Mike Evans is a prime example of that, who has had a few weeks with multiple red zone targets. In some cases, that is not the same, like Julio Jones seeing two red zone targets through the first six weeks of the season. Much like the other positions, red zone targets correlate with scoring touchdowns, which means fantasy points. Guys with higher targets are ahead of others when looking at the touchdown leaders. DeAndre Hopkins is a prime example, who has five red zone touchdowns this season, and 11 red zone targets. His total for the year so far is eight receiving touchdowns.
