2019 Running Back (RB) Targets
Many passing games use running backs as wide receivers in this era, and targets among them need to be kept an eye on. Targets equal opportunity for running backs, especially ones that rely on passing work to accumulate states. We have seen guys like Christian McCaffrey come into the league and hover around eight targets per game. This is no surprise with Theo Riddick and Danny Woodhead carving out these roles prior. The PPR format in fantasy football as become a preferred scoring, and these stats have much more of a role in fantasy. Teams that trail from behind tend to use pass-catching backs more often. Offenses will also mask their subpar running games with short passing games to backs and tight ends. Targets vary weekly, and the table spreads them out on a weekly basis to determine consistency. Sort through each week to see who led the week in targets.">Many passing games use running backs as wide receivers in this era, and targets among them need to be kept an eye on. Targets equal opportunity for running backs, especially ones that rely on passing work to accumulate states. We have seen guys like Christian McCaffrey come into the league and hover around eight targets per game. This is no surprise with Theo Riddick and Danny Woodhead carving out these roles prior. The PPR format in fantasy football as become a preferred scoring, and these stats have much more of a role in fantasy. Teams that trail from behind tend to use pass-catching backs more often. Offenses will also mask their subpar running games with short passing games to backs and tight ends. Targets vary weekly, and the table spreads them out on a weekly basis to determine consistency. Sort through each week to see who led the week in targets
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|---|---|
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77
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|
|
74
|
|
|
73
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|
|
88
|
|
|
73
|
|
|
93
|
|
|
83
|
|
|
68
|
|
|
80
|
|
|
85
|
|
|
74
|
|
|
81
|
|
|
89
|
|
|
77
|
|
|
79
|
|
|
80
|
|
|
N/A |
|
|
75
|
|
|
75
|
|
|
62
|
|
|
81
|
|
|
88
|
|
|
71
|
|
|
74
|
|
|
85
|
|
|
N/A |
|
|
73
|
|
|
73
|
|
|
77
|
|
|
N/A |
|
|
76
|
|
|
81
|
|
|
88
|
|
|
73
|
|
|
74
|
|
|
71
|
|
|
70
|
|
|
75
|
|
|
92
|
|
|
76
|
|
|
N/A |
|
|
77
|
|
|
73
|
|
|
87
|
|
|
N/A |
|
|
64
|
|
|
N/A |
|
|
76
|
|
|
75
|
|
|
73
|
|
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|
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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77
|
TB | 1 | 1 | 1 | 1 | 3 | 4 | 2 | 8 | 11 | 1.4 | 3.6 | 8 | 72.7% | 0 | ||||||||||
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|
74
|
BUF | 1 | 6 | 6 | 4 | 7 | 16 | 3.2 | 6.2 | 12 | 75% | 1 | |||||||||||||
|
|
73
|
OAK | 1 | 1 | 2 | 2 | 4 | 3 | 2 | 2 | 5 | 20 | 2.2 | 5.9 | 14 | 70% | 0 | |||||||||
|
|
88
|
ATL | 1 | 4 | 4 | 4 | 9 | 5 | 3 | 3 | 8 | 4 | 40 | 5 | 11.7 | 35 | 87.5% | 3 | ||||||||
|
|
73
|
OAK | 3 | 3 | 3 | 1 | 2 | 1 | 3 | 4 | 4 | 21 | 2.3 | 6.7 | 18 | 85.7% | 0 | |||||||||
|
|
93
|
NYJ | 1 | 9 | 10 | 4 | 9 | 1 | 4 | 5 | 9 | 4 | 51 | 6.4 | 20.2 | 40 | 78.4% | 1 | ||||||||
|
|
83
|
CHI | 2 | 10 | 5 | 4 | 5 | 7 | 12 | 3 | 5 | 4 | 55 | 6.1 | 18.5 | 38 | 69.1% | 2 | ||||||||
|
|
68
|
TB | 3 | 5 | 1 | 3 | 4 | 3 | 5 | 3 | 1 | 3 | 26 | 3.2 | 8.5 | 18 | 69.2% | 0 | ||||||||
|
|
80
|
LAC | 2 | 7 | 6 | 7 | 5 | 16 | 4 | 8 | 3 | 4 | 2 | 62 | 6.2 | 18 | 57 | 91.9% | 6 | |||||||
|
|
85
|
TEN | 1 | 2 | 3 | 2 | 1 | 3 | 1 | 1 | 3 | 2 | 18 | 1.8 | 5.8 | 13 | 72.2% | 2 | ||||||||
|
|
74
|
OAK | 2 | 2 | 3 | 3 | 1 | 1 | 1 | 2 | 13 | 1.4 | 4.3 | 12 | 92.3% | 0 | ||||||||||
|
|
81
|
NO | 2 | 3 | 1 | 1 | 2 | 3 | 6 | 12 | 2 | 28 | 3.5 | 9.7 | 23 | 82.1% | 1 | |||||||||
|
|
89
|
ARI | 1 | 7 | 1 | 9 | 11 | 5 | 8 | 1 | 42 | 5.2 | 12.9 | 31 | 73.8% | 3 | ||||||||||
|
|
77
|
KC | 3 | 1 | 1 | 1 | 2 | 0.3 | 0.6 | 2 | 100% | 0 | ||||||||||||||
|
|
79
|
BUF | 2 | 2 | 2 | 1 | 2 | 1 | 1 | 8 | 1 | 3.1 | 7 | 87.5% | 0 | |||||||||||
|
|
80
|
CIN | 2 | 3 | 3 | 2 | 6 | 3 | 3 | 3 | 2 | 1 | 25 | 3.1 | 7.4 | 18 | 72% | 0 | ||||||||
|
|
N/A | LAC | 1 | 6 | 4 | 3 | 3 | 4 | 1 | 21 | 3.5 | 6 | 15 | 71.4% | 1 | |||||||||||
|
|
75
|
DET | 3 | 1 | 1 | 0.2 | 0 | 1 | 100% | 0 | ||||||||||||||||
|
|
75
|
MIN | 4 | 1 | 3 | 1 | 5 | 0.6 | 2 | 3 | 60% | 1 | ||||||||||||||
|
|
62
|
CAR | 4 | 1 | 1 | 2 | 0.2 | 0.7 | 2 | 100% | 0 | |||||||||||||||
|
|
81
|
GB | 1 | 1 | 6 | 1 | 7 | 8 | 7 | 4 | 8 | 3 | 45 | 5 | 14.5 | 35 | 77.8% | 3 | ||||||||
|
|
88
|
NO | 1 | 8 | 3 | 10 | 3 | 7 | 8 | 39 | 6.5 | 13.5 | 33 | 84.6% | 1 | |||||||||||
|
|
71
|
MIN | 2 | 1 | 2 | 1 | 4 | 0.4 | 1.6 | 3 | 75% | 0 | ||||||||||||||
|
|
74
|
ARI | 3 | 0 | 0 | 0 | 0 | 0% | 0 | |||||||||||||||||
|
|
85
|
WAS | 1 | 2 | 3 | 2 | 2 | 1 | 10 | 1.2 | 3.9 | 8 | 80% | 0 | ||||||||||||
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|
N/A | NYG | 5 | 0 | 0 | 0 | 0 | 0% | 0 | |||||||||||||||||
|
|
73
|
NE | 4 | 3 | 1 | 2 | 4 | 1 | 11 | 1.4 | 3.1 | 9 | 81.8% | 1 | ||||||||||||
|
|
73
|
ATL | 2 | 2 | 2 | 0.5 | 0.6 | 2 | 100% | 0 | ||||||||||||||||
|
|
77
|
NYJ | 2 | 1 | 1 | 0.2 | 0.4 | 0 | 0% | 0 | ||||||||||||||||
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|
N/A | PHI | 3 | 1 | 1 | 0.2 | 0.3 | 1 | 100% | 0 | ||||||||||||||||
|
|
76
|
PIT | 5 | 1 | 1 | 2 | 0.3 | 0.8 | 1 | 50% | 0 | |||||||||||||||
|
|
81
|
DET | 1 | 0 | 0 | 0 | 0 | 0% | 0 | |||||||||||||||||
|
|
88
|
SEA | 1 | 7 | 3 | 1 | 4 | 2 | 4 | 5 | 1 | 3 | 30 | 3.3 | 9.9 | 24 | 80% | 2 | ||||||||
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|
73
|
PHI | 6 | 0 | 0 | 0 | 0 | 0% | 0 | |||||||||||||||||
|
|
74
|
ARI | 6 | 1 | 2 | 2 | 4 | 2 | 4 | 4 | 19 | 2.4 | 6 | 12 | 63.2% | 1 | ||||||||||
|
|
71
|
HOU | 5 | 0 | 0 | 0 | 0 | 0% | 0 | |||||||||||||||||
|
|
70
|
MIN | 3 | 2 | 2 | 4 | 1 | 1 | 4 | 14 | 1.6 | 5.5 | 8 | 57.1% | 1 | |||||||||||
|
|
75
|
HOU | 1 | 1 | 5 | 1 | 1 | 1 | 1 | 10 | 1.1 | 3.3 | 6 | 60% | 0 | |||||||||||
|
|
92
|
CAR | 1 | 11 | 6 | 4 | 10 | 9 | 5 | 5 | 3 | 52 | 6.5 | 18.5 | 42 | 80.8% | 3 | |||||||||
|
|
76
|
SEA | 3 | 3 | 5 | 3 | 11 | 1.8 | 3.8 | 9 | 81.8% | 0 | ||||||||||||||
|
|
N/A | WAS | 3 | 0 | 0 | 0 | 0 | 0% | 0 | |||||||||||||||||
|
|
77
|
WAS | 3 | 10 | 8 | 5 | 5 | 7 | 3 | 38 | 6.3 | 14.7 | 27 | 71.1% | 0 | |||||||||||
|
|
73
|
DEN | 4 | 1 | 1 | 0.1 | 0.4 | 1 | 100% | 0 | ||||||||||||||||
|
|
87
|
MIN | 1 | 2 | 3 | 5 | 8 | 6 | 2 | 2 | 6 | 7 | 41 | 4.6 | 16.2 | 33 | 80.5% | 0 | ||||||||
|
|
N/A | TEN | 4 | 0 | 0 | 0 | 0 | 0% | 0 | |||||||||||||||||
|
|
64
|
TEN | 5 | 0 | 0 | 0 | 0 | 0% | 0 | |||||||||||||||||
|
|
N/A | ARI | 4 | 0 | 0 | 0 | 0 | 0% | 0 | |||||||||||||||||
|
|
76
|
WAS | 6 | 3 | 3 | 3 | 1.2 | 3 | 100% | 0 | ||||||||||||||||
|
|
75
|
NE | 6 | 0 | 0 | 0 | 0 | 0% | 0 | |||||||||||||||||
|
|
73
|
LAR | 2 | 2 | 1 | 3 | 6 | 1 | 1.9 | 4 | 66.7% | 0 |
Many passing games use running backs as wide receivers in this era, and targets among them need to be kept an eye on. Targets equal opportunity for running backs, especially ones that rely on passing work to accumulate states. We have seen guys like Christian McCaffrey come into the league and hover around eight targets per game. This is no surprise with Theo Riddick and Danny Woodhead carving out these roles prior. The PPR format in fantasy football as become a preferred scoring, and these stats have much more of a role in fantasy. Teams that trail from behind tend to use pass-catching backs more often. Offenses will also mask their subpar running games with short passing games to backs and tight ends. Targets vary weekly, and the table spreads them out on a weekly basis to determine consistency. Sort through each week to see who led the week in targets.">Many passing games use running backs as wide receivers in this era, and targets among them need to be kept an eye on. Targets equal opportunity for running backs, especially ones that rely on passing work to accumulate states. We have seen guys like Christian McCaffrey come into the league and hover around eight targets per game. This is no surprise with Theo Riddick and Danny Woodhead carving out these roles prior. The PPR format in fantasy football as become a preferred scoring, and these stats have much more of a role in fantasy. Teams that trail from behind tend to use pass-catching backs more often. Offenses will also mask their subpar running games with short passing games to backs and tight ends. Targets vary weekly, and the table spreads them out on a weekly basis to determine consistency. Sort through each week to see who led the week in targets
