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As of early August 2019, David Johnson appears to be the consensus 5th pick after Barkley/CMC/Elliott/Kamara. Below is a screenshot from our RazzBowl partner’s NFFC ADP

My projections have David Johnson as RB8 for PPR (behind the top 4 in ADP as well as Le’Veon Bell, Joe Mixon, and James Conner) so I’m quite divergent from the consensus on this one. I had pick #5 in my RazzBowl draft and went with Davante Adams (ADP #7) when no one was kind enough to let one of the top four fall to me.

***NOTE – Early-bird discount still available through August 10th on 2019 Razzball Fantasy Football subscriptions. Just $19.98 for season-long weekly projections/rankings and $99.99 includes DFS projections including lineup optimizer. Incidentally, I finished 1st in RBs in 2017 and 9th in 2018.***

I think the pro-David Johnson case can be summarized as follows:

  1. Johnson’s 2018 usage and the 2019 Cardinal RB depth chart suggests his ‘bell cow’ status is as secure as it gets for the NFL.
  2. You can disregard any Yards per Rush/Target because the Cardinals offense was an absolute shitshow. “McCoy kept running him up the middle! David Johnson excels in open space!” History has shown he has solid efficiency in the running game and he is elite in the passing game (for an RB).
  3. He will see a spike in volume because Kliff Kingsbury’s Air Raid offense will increase the Cardinals’ league worst number of plays both through less sucking and quicker pace.
  4. Kingsbury will utilize Johnson’s skill set similar to his monster 2016 season. 

I am on board with #1 and #2. I agree with #3 to an extent. It is #4 that I am skeptical on and did some analysis to confirm those suspicions.

Note I am not worried about David Johnson’s rushing volume. I have him down for around 220 rushes which is roughly the Alvin Kamara range. Like Kamara, David Johnson’s biggest value is in the passing game and that is where my concerns lie.

I am not a film junkie but I have some familiarity with both Kyler Murray and the Air Raid system since I live in Big 12 country (Hook ’em Horns!). Here were my three main concerns re: David Johnson’s passing game usage based on my experience with the QB and the system:

  1. Kyler Murray in Lincoln Riley’s version of the Air Raid attacked defenses downfield using WRs vs dumping off to an RB.
  2. When downfield options did not materialize and/or there was pressure, Kyler Murray often scrambles (where he excels) vs dumping off to an RB.
  3. Kliff’s version of the Air Raid system is built around passing to WRs in 3-5 WR sets. In his years at Texas Tech, the top 4-5 target leaders on the team were WRs. This is a system that produces Wes Welkers, Michael Crabtrees and Keke Coutees not David Johnsons.

To test my hypotheses, I analyzed whether a team’s RB share of targets are impacted by two factors: 1) QB rushing and 2) A team’s average WR/snap. I have Kyler Murray at around 500 rushing yards and the Cardinals average about 3 WR/snap which would both be top 10th percentile based on 2016-2018 totals.

The below table has the following data from 2016-2018:

  • QB Rush attempts and Yards. This includes designated runs and scrambles (I don’t have an easy way to separate the two)
  • Average WR/Snap – The league average for 2016-2018 is 2.6 WRs/snap with 2.1/3.1 the floor/ceiling
  • RB Targets and their share of team targets
Download Table as CSV
Note: Filters and sorting in the table below apply to the output

# Team Season QB Rush QB Rush Yds Avg WR/Snap RB Tgts RB Tgt %
BAL 2019 196 1275 2.2 64 16
CHI 2022 167 1151 2.3 62 16
BAL 2020 186 1113 2.2 63 15
BAL 2021 180 1061 2.4 87 14
BAL 2022 158 896 1.7 63 14
BAL 2023 163 876 2.5 79 17
ARI 2020 137 834 2.8 101 18
PHI 2021 149 803 2.4 106 22
BUF 2021 137 784 2.8 96 15
NYG 2022 125 778 2.3 109 23
CHI 2023 149 762 2.6 106 21
PHI 2022 171 762 2.7 61 12
BUF 2022 129 762 3.0 109 20
CAR 2017 141 750 2.2 135 25
BAL 2018 166 742 2.3 75 13
BUF 2018 103 678 2.3 97 20
ARI 2023 121 665 2.6 69 13
PHI 2023 165 657 2.7 93 17
PHI 2020 117 644 2.5 97 16
SF 2016 109 641 2.9 86 18
NE 2020 145 607 2.6 122 29
BUF 2016 104 601 2.1 90 19
NYG 2023 114 598 2.7 98 19
ARI 2019 100 585 2.8 68 13
SEA 2017 96 585 2.6 104 19
HOU 2018 100 550 1.9 68 12
CAR 2018 111 538 2.6 139 26
BUF 2023 124 511 2.6 86 15
SEA 2020 85 511 2.5 99 18
ARI 2022 98 508 2.6 112 17
BUF 2019 111 506 2.6 82 15
CHI 2021 92 504 2.4 91 17
BUF 2017 99 504 1.4 108 20
ATL 2022 101 502 2.1 66 18
CLE 2017 88 489 2.6 146 25
JAC 2018 77 488 2.6 128 25
ARI 2021 112 466 2.8 103 18
CAR 2021 102 465 2.5 95 16
HOU 2019 87 452 2.4 79 14
HOU 2020 90 444 2.7 90 17
NYG 2020 74 435 2.3 83 17
KC 2023 82 434 2.5 108 18
TB 2018 85 433 2.7 88 14
CHI 2018 81 424 2.4 129 23
BUF 2020 108 414 2.8 79 13
CLE 2022 84 413 2.5 84 17
NYG 2021 77 396 2.4 116 20
GB 2017 61 393 2.8 97 18
KC 2021 74 381 2.6 112 17
SEA 2018 67 376 2.5 85 21
LAC 2023 79 372 2.7 94 15
JAC 2023 81 371 2.5 91 15
DAL 2017 59 370 2.5 75 16
TEN 2016 64 368 2.2 84 17
GB 2016 70 367 2.7 99 16
JAC 2019 71 367 2.7 133 24
SEA 2022 68 366 2.2 78 13
CAR 2016 91 363 2.4 70 13
WAS 2018 75 359 2.7 108 22
JAC 2016 59 357 2.7 109 18
TEN 2018 70 357 2.5 85 20
KC 2022 66 353 2.3 112 18
DEN 2023 89 349 2.5 153 33
IND 2016 70 344 2.5 109 19
SEA 2019 75 342 2.5 84 15
CLE 2016 59 335 2.5 139 24
KC 2017 68 333 2.3 114 19
JAC 2021 73 332 2.8 93 17
WAS 2021 62 325 2.8 123 23
HOU 2017 46 324 2.6 77 16
ATL 2023 69 323 1.7 124 25
JAC 2017 61 318 2.2 132 25
TEN 2019 67 314 2.2 63 14
TEN 2017 60 312 2.1 66 12
PHI 2017 76 310 2.6 61 10
GB 2018 48 308 2.7 118 19
DAL 2018 75 305 2.2 112 20
CAR 2020 62 301 2.6 114 22
KC 2020 70 300 2.7 94 15
LAC 2021 65 300 2.5 131 19
JAC 2022 66 287 2.6 85 15
NYG 2019 49 286 2.7 99 17
DEN 2022 61 284 2.2 91 17
WAS 2023 51 282 2.7 108 17
DAL 2016 62 279 2.6 97 20
DAL 2019 52 277 2.6 94 16
TEN 2020 50 276 2.2 58 11
PIT 2022 74 275 2.8 93 17
KC 2018 61 275 2.6 97 18
CLE 2023 69 272 2.7 96 17
CAR 2023 42 265 2.9 92 17
TEN 2022 69 265 2.2 85 20
TEN 2021 61 264 2.7 104 19
MIA 2020 66 260 2.4 96 18
SEA 2016 80 260 2.5 96 16
DAL 2020 55 257 2.7 113 18
CIN 2022 78 256 2.6 132 24
CLE 2018 55 256 3.0 118 21
IND 2017 66 256 2.6 86 18
MIA 2019 57 256 2.5 155 25
NYJ 2023 51 256 2.7 160 30
TB 2019 63 249 2.6 114 19
DET 2019 50 248 2.5 101 19
CHI 2017 45 247 2.4 133 29
GB 2023 53 245 2.6 94 17
PHI 2019 64 241 1.6 114 18
LAC 2020 62 239 2.6 130 22
NYJ 2020 43 239 2.7 99 21
LV 2020 49 237 2.3 112 21
DAL 2023 67 237 2.6 100 17
IND 2023 59 236 2.8 83 15
CAR 2022 63 234 2.8 149 35
IND 2019 64 230 2.5 91 18
CIN 2020 61 229 2.9 102 18
CIN 2018 41 229 2.7 111 21
DEN 2017 49 226 2.6 114 20
SEA 2021 52 225 2.6 68 14
IND 2021 60 224 2.6 115 23
KC 2019 48 217 2.6 111 21
WAS 2022 55 217 2.6 120 23
CIN 2023 58 215 2.8 89 16
NYJ 2021 45 215 2.8 131 23
SF 2021 76 215 2.4 98 20
TB 2017 49 211 2.5 95 16
DET 2016 37 207 2.7 111 18
CHI 2019 54 199 2.6 164 28
MIA 2021 61 198 2.3 95 17
LV 2021 55 197 2.0 145 24
HOU 2022 58 196 2.3 132 23
HOU 2021 37 195 2.5 117 23
CHI 2020 50 192 2.4 111 17
NO 2021 44 192 2.1 108 22
DAL 2022 54 188 2.4 85 15
LV 2022 38 186 2.6 112 21
CIN 2016 46 184 2.6 99 18
DEN 2020 55 183 2.6 72 13
NYJ 2017 44 179 2.5 131 26
WAS 2017 49 179 2.6 103 18
NE 2023 43 179 2.4 131 24
GB 2019 51 176 2.7 130 24
NYJ 2022 46 171 2.6 124 20
JAC 2020 35 170 2.7 115 19
NYJ 2018 49 170 2.5 102 21
SEA 2023 42 169 2.6 86 16
TB 2016 52 168 2.4 83 16
HOU 2023 43 167 2.6 84 15
MIA 2018 40 166 2.6 103 25
CLE 2020 54 165 2.0 79 16
IND 2022 46 165 2.7 127 21
MIA 2016 40 163 2.9 87 17
TB 2023 63 162 2.7 94 17
SF 2023 60 159 2.3 112 25
NYJ 2016 40 159 3.1 122 22
DEN 2021 40 159 2.5 94 18
MIN 2020 32 156 2.2 95 19
CLE 2021 49 156 2.7 83 16
LAR 2020 57 155 2.5 72 12
MIN 2017 45 154 2.5 109 21
NE 2016 54 153 2.3 129 23
TEN 2023 47 152 2.5 106 23
SF 2017 50 151 2.4 166 28
LAC 2022 55 151 2.4 177 26
CIN 2019 42 150 2.9 88 15
PHI 2016 46 150 1.8 110 18
GB 2020 54 146 2.5 114 22
DET 2020 32 146 2.5 129 24
ARI 2018 25 145 2.7 109 23
ATL 2019 37 144 2.9 112 17
ATL 2017 32 143 2.3 96 18
HOU 2016 36 143 2.4 83 14
IND 2018 53 141 2.4 126 19
LAR 2023 41 140 3.3 81 15
CLE 2019 31 138 2.6 117 23
DEN 2019 40 131 2.9 124 25
LAR 2022 40 131 2.9 63 11
KC 2016 52 130 2.4 92 17
MIN 2021 31 129 2.5 164 28
WAS 2019 32 127 2.8 105 22
GB 2021 47 127 2.7 106 17
CAR 2019 44 126 2.6 155 26
ATL 2018 34 125 2.6 89 14
DAL 2021 57 123 2.6 118 18
MIN 2018 44 123 2.6 97 17
NE 2021 54 121 2.5 110 21
PIT 2019 43 118 2.5 111 23
MIA 2022 41 118 2.6 96 16
CIN 2021 47 117 2.7 98 18
PIT 2023 68 116 2.6 114 23
SF 2022 63 116 2.3 69 14
ATL 2016 37 115 2.3 117 22
PIT 2018 35 109 2.8 110 16
PHI 2018 45 108 2.0 102 17
MIN 2022 35 105 2.7 88 14
NE 2022 57 102 2.6 124 23
CIN 2017 38 99 2.6 101 20
LAR 2018 50 99 2.9 91 17
WAS 2016 34 98 2.6 71 11
DET 2017 29 98 2.7 111 19
ARI 2017 46 97 2.7 123 22
WAS 2020 40 97 2.4 161 26
GB 2022 35 93 2.8 116 21
DET 2021 19 93 2.3 136 24
DEN 2018 27 92 3.1 128 23
ATL 2020 32 88 2.6 105 17
SF 2018 45 86 2.3 107 21
DET 2018 27 84 2.7 147 27
OAK 2019 29 82 1.7 117 24
ATL 2021 40 82 2.1 145 26
DEN 2016 39 82 2.8 82 14
OAK 2017 25 81 2.3 161 30
TB 2021 37 74 2.7 134 19
NO 2022 35 70 2.2 146 31
DET 2022 34 69 2.5 119 21
OAK 2016 41 66 2.4 123 20
LAR 2016 29 66 2.6 83 16
MIA 2023 43 65 2.4 125 23
MIN 2023 30 64 2.6 78 12
NYJ 2019 33 62 2.7 107 21
SF 2020 25 61 2.6 136 23
SF 2019 49 59 1.8 103 22
MIN 2019 37 58 1.9 127 27
MIN 2016 25 58 2.0 185 32
BAL 2017 29 51 2.3 150 27
LAR 2017 37 49 2.6 101 19
PIT 2021 24 47 2.7 109 16
MIA 2017 26 47 2.7 114 20
LV 2023 40 47 2.6 99 19
BAL 2016 27 47 2.5 170 25
OAK 2018 27 45 3.0 132 25
LAR 2021 34 42 2.7 76 12
NYG 2017 16 38 2.4 139 24
PIT 2017 36 37 2.6 113 20
LAC 2019 22 36 2.7 182 33
ARI 2016 17 35 2.9 142 22
SD 2016 16 34 2.5 98 17
NO 2023 37 34 2.4 133 23
NE 2019 28 32 2.3 166 26
LAR 2019 35 31 2.8 62 10
2023 8 30 0.0 0 0
NE 2017 25 28 2.3 158 27
NO 2019 37 27 2.2 155 26
NE 2018 34 27 1.8 202 36
NO 2018 42 27 2.3 144 28
PIT 2020 34 24 2.5 81 11
TB 2020 39 22 2.5 119 19
NO 2016 23 20 2.5 163 25
DET 2023 34 19 2.5 102 17
NYG 2018 16 18 2.6 152 27
CHI 2016 22 15 2.6 86 15
IND 2020 35 11 2.4 137 24
PIT 2016 22 10 2.3 126 19
NO 2017 36 10 2.3 196 35
LAC 2018 26 9 2.4 141 26
2022 0 0 0.0 2 0
TB 2022 29 -1 2.8 145 20
LAC 2017 23 -7 2.8 132 23
NYG 2016 20 -8 2.8 114 19
NO 2020 26 -8 1.9 143 27

I then ran a regression test to see what impact, if any, that QB Rushing yards and team WR/snap have on RB team target share. After reviewing the data, I decided to remove Carolina from the results as Cam Newton IMO is an utter anomaly given his ratio of designed runs vs scrambles.

The results confirmed my suspicions. Both factors are negatively correlated to RB team target share. On average, the more a QB runs and/or the more WRs on the field, the lower the projected RB team target share. Below are the correlations (note: 1.0 is complete positive correlation, -1.0 is complete negative correlation) 

  • QB Rush Yards have a correlation (r) of -0.19 
  • WR/Snap have a correlation (r) of -0.36 
  • Using both variables resulted in a correlation (r) of -0.42

The formula for determining target share*100 (e.g., 20 is 20% target share) was 41.85 – 0.00574 * QB Rush Yards – 0.0785 * WRs/Snap

The average non-Panther team from 2016-2018 targeted the RBs 20.3% of the time.  Using the above model based on my projected 500 QB rushing yards + 3 WRs/snap for the 2019 Cardinals nets out to a 15.4% expected RB team target share. The lowest expected RB team target share from 2016-2018 was the 2016 49ers at 15.7%.

There are of course exceptions to the rule. The 2018 Cowboys had the third lowest expected RB team target share at 16.2% and ended up with a 21% share. Conversely, the 2018 Texans had a 16.8% expected RB team target share and ended up with a 12% share.

I would posit the biggest difference between the 2018 Cowboys and Texans RB target shares was not talent (though, clearly, Elliott > Miller and Houston WR > Dallas WR) but scheme/preference. Jason Garrett loves him some screen passes. Bill O’Brien does not. I think the Cardinals’ 2019 Air Raid scheme under KK will be more BOB than Garrett.

Based on these headwinds, there are two paths I can see for David Johnson to get the Kamara-like target share that he requires to earn his ADP of #5 (without TD luck of course):

  1. The Cardinals run a significantly above average number of plays.
  2. Kingsbury tweaks the Air Raid to feed David Johnson more (spare Murray from some hits given their porous O-Line? Because Johnson is ELITE?). This could include more screen passes and/or Johnson playing a hybrid RB/slot WR role

I think #1 is a sucker bet. Projecting team snaps has little accuracy and, thus, requires a lot of regression. I have the Cardinals near the middle of the pack but I have all teams within 5% of each other.

I do not see Kingsbury getting Garrett Fever and deviating from the Air Raid to pump up RB passes. Why? An elite RB has the same YPA as a mediocre WR. The whole point of the Air Raid system is to feed the WRs. Quick passes to the WRs can also compensate for a poor O-Line and both set up greater possibilities of big plays with a missed tackle and set up the defensive backs for double moves. 

I think David Johnson playing a RB/WR role, however, has some possibility. The Cardinals’ WR depth chart has non-rookie WRs of note (Larry Fitzgerald, Christian Kirk), a vet flier (Michael Crabtree), and three rookie WRs (Andy Isabella, Hakeem Butler, KeeSean Johnson) vying for playing time. Injuries, a desire to keep everyone fresh, and/or disappointing performance from the rookies could necessitate utilizing Johnson (and Chase Edmonds) in the slot.

My pre-Crabtree projections for the Cardinals is a slightly below average RB target share of 18.3% with David Johnson getting 13% share and backup Chase Edmonds getting 4.7% share (the rest of the RBs get the remaining 0.6%). If Crabtree (a historically high target per snap WR) earns playing time at the expense of the rookies (whom its best to fade on targets per snap), that will only chip away the RB target share that much more. That nets out to 77 targets for Johnson which just about matches last year’s 76 targets and is way below 2016’s 120 targets.

I would much rather bank on the safer target shares of the top WRs (Davante Adams, Julio Jones, etc.) than bank on David Johnson either being used in a novel role and/or Kliff Kingsbury screwing around with the Air Raid to feature Johnson. While Johnson is a relatively safe 1st round pick given his projected volume, the 2018 Texans’ RB target rate provide a stark reminder that a running QB + WR-heavy offense could lead to a lower target floor than an RB’s history would suggest.Â