2019 Running Back (RB) Snap Counts

As the NFL continues to change, committee backfields have come more frequent. A popular committee over the last couple of seasons has been Tevin Coleman and Devonta Freeman. There are a few bell-cow back situations, like Le’Veon Bell, who sucks up 90% of the team snaps. It takes us back to the days where running backs were the workhorses of the league. While we have seen a little more of that, teams are adding two styles of backs to make up one. Freeman and Coleman are a good example of two running backs that complement each other, but cut into each other’s workload. Snap counts can help decipher the RB1 and RB2 on a team. Their snap counts can be dictated based on game flow, which is something to analyze when building trends for players. Running back snaps fluctuate at a high amount, and the weekly breakdown can help you view who is the most consistent target.

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 SNAP % TD
Ezekiel Elliott
96
DAL 1 37 53 48 56 67 75 338 56 79.6 5
Chris Carson
88
SEA 1 41 43 37 48 62 66 297 49 68.1 4
Christian McCaffrey
92
CAR 1 67 79 58 68 56 64 392 65 96.1 9
Nick Chubb
84
CLE 1 51 42 70 44 41 59 307 51 76.6 6
Carlos Hyde
75
HOU 25 40 31 33 47 56 232 38 54.3 3
Leonard Fournette
80
JAX 1 50 65 54 71 77 55 372 62 91.4 1
David Johnson
89
ARI 1 77 36 65 54 54 52 338 56 78.1 5
Le'Veon Bell
93
NYJ 1 72 61 51 52 51 287 57 92 2
Devonta Freeman
88
ATL 1 39 41 55 50 40 50 275 45 64.3 3
Dare Ogunbowale
68
TB 3 27 16 19 21 19 46 276 46 34.8 1
Kenyan Drake
78
MIA 1 27 34 46 28 46 185 37 58
Dalvin Cook
87
MIN 1 36 47 38 49 47 45 262 43 68.1 6
Kerryon Johnson
79
DET 1 50 33 48 54 43 228 45 65.3 3
Tevin Coleman
82
SF 1 18 26 43 87 29 23.3 2
Jordan Howard
81
PHI 1 17 18 25 33 29 41 168 28 38.2 5
Sony Michel
82
NE 1 23 35 17 29 38 41 186 31 41.2 3
Alvin Kamara
88
NO 1 50 42 51 55 48 39 287 47 72 2
Jamaal Williams
77
GB 2 26 35 35 1 39 177 35 32.1 2
Royce Freeman
77
DEN 2 30 43 36 34 33 38 214 35 53.9
Adrian Peterson
85
WAS 1 18 37 20 16 37 128 25 34 1
Derrick Henry
85
TEN 1 36 30 38 48 38 37 227 37 57.2 5
Melvin Gordon N/A LAC 1 32 37 69 34 17
Aaron Jones
81
GB 1 38 43 22 68 50 36 257 42 60.6 8
Malcolm Brown
73
LAR 2 21 25 17 24 3 36 178 29 28.9 2
CJ Ham
70
MIN 5 22 25 26 9 21 34 237 39 35.6
Duke Johnson
81
HOU 42 26 29 45 29 34 218 36 48 1
Giovani Bernard
80
CIN 2 48 28 26 23 26 33 185 30 45.3
Gus Edwards
73
BAL 2 29 16 22 20 21 33 174 29 30
Mark Walton
68
MIA 2 4 10 13 32 82 20 18.9
Jonathan Hilliman N/A NYG 1 27 44 31 115 38 25.4
James White
84
NE 2 33 22 34 31 31 160 32 34 1
Mark Ingram
87
BAL 1 25 46 50 32 53 31 237 39 50.4 7
James Conner
84
PIT 1 32 31 36 38 48 30 215 35 60.1 5
Joe Mixon
87
CIN 1 29 38 35 42 42 30 216 36 53.2 1
Benny Snell Jr.
76
PIT 2 2 3 7 29 143 23 11.5
Dion Lewis
86
TEN 2 26 30 42 18 25 29 170 28 42.8
LeSean McCoy
83
KC 20 31 26 32 14 29 152 25 37.7 3
Phillip Lindsay
88
DEN 1 34 39 41 25 28 29 196 32 49.4 4
Austin Ekeler
80
LAC 2 48 49 49 48 46 28 268 44 66.2 6
Latavius Murray
81
NO 2 18 23 12 18 23 28 122 20 30.8 1
Matt Breida
84
SF 2 30 21 32 26 28 151 30 36.7 2
Damien Williams
79
KC 1 39 35 22 146 36 35 2
Alexander Mattison
71
MIN 2 12 8 19 6 16 21 82 13 21.3 1
Chase Edmonds
74
ARI 2 10 24 9 13 27 20 175 29 23.8 2
Elijhaa Penny
62
NYG 2 6 8 3 14 25 20 158 26 19
Miles Sanders
74
PHI 2 36 35 26 22 29 19 191 31 39.1 1
Peyton Barber
75
TB 2 25 42 28 19 20 19 153 25 36 3
Ito Smith
76
ATL 2 39 25 3 30 35 18 157 26 35 1
CJ Prosise
76
SEA 3 10 46 14 17 104 20 20 1
Darrell Henderson
73
LAR 3 2 17 29 7 4.4

As the NFL continues to change, committee backfields have come more frequent. A popular committee over the last couple of seasons has been Tevin Coleman and Devonta Freeman. There are a few bell-cow back situations, like Le’Veon Bell, who sucks up 90% of the team snaps. It takes us back to the days where running backs were the workhorses of the league. While we have seen a little more of that, teams are adding two styles of backs to make up one. Freeman and Coleman are a good example of two running backs that complement each other, but cut into each other’s workload. Snap counts can help decipher the RB1 and RB2 on a team. Their snap counts can be dictated based on game flow, which is something to analyze when building trends for players. Running back snaps fluctuate at a high amount, and the weekly breakdown can help you view who is the most consistent target.