Fantasy Index 2015 Redux: Running Back

Alessandro Miglio's Fantasy Index 2015 Redux: Running Back Alessandro Miglio Published 08/22/2016

Running backs are dead. Long live running backs. 

Fantasy footballers have long sought an indictment against the position. The grand jury convened after 2015 and came back with one.

Last season the running back position was an unmitigated disaster from a fantasy football perspective, running teams everywhere with a devastating combination of injury and underperformance. Few top-tier backs were left standing atop the fantasy rankings after 2015 got done with them. We are witnessing the aftermath of the carnage as the first round has become a wide receiver free-for-all.

But the position isn't dead. It was just knocked unconscious. It'll be back with a vengeance, and the fear permeating fantasy football circles will create plenty of values if you are looking in the right places.

So what are those places? You may recall the Fantasy Index series from a couple of season ago. Well, it's back, bringing you insights about player usage, effeciency and fantasy value this year. We can take a look back at last season to see what the numbers yielded us.

For the purposes of this article, all fantasy scoring is in points-per-reception (PPR) format.

  • Att%/16: The percentage of rushing attempts prorated over 16 games.
  • Tgt%/16: The percentage of targets prorated over 16 games.
  • OvTD%: The overall touchdown rate for a player combining rushing attempts and targets.
  • PPR: Points per reception
  • PPG: PPR points per game
  • PPO: Points per opportunity
  • FPS/16: Fantasy points shares prorated over 16 games intended to show the amount of fantasy scoring a player garners compared to the rest of his team
  • eFPS/16: A metric of FPS efficiecny based on the combined rushing and receiving averages for a player 

Player Team Att%/16 Tgt%/16 Opp%/16 OvTD% PPR PPG PPO FPS/16
 Jamaal Charles KC 52.1% 20.3% 33.8% 5.0% 105.1 21.0 1.04 0.35
 Devonta Freeman ATL 66.9% 16.7% 35.9% 3.9% 320.9 21.4 0.89 0.32
 Le'Veon Bell PIT 77.7% 11.8% 36.7% 2.2% 111.2 18.5 0.80 0.29
 Todd Gurley STL 65.7% 6.8% 34.1% 3.9% 210.6 16.2 0.83 0.28
 Arian Foster HOU 53.4% 18.1% 32.3% 3.3% 79 19.8 0.87 0.28
 Adrian Peterson MIN 69.0% 7.9% 37.3% 3.0% 266.7 16.7 0.73 0.27
 Dion Lewis NE 29.2% 18.2% 21.6% 4.0% 122.2 17.5 1.23 0.27
 Matt Forte CHI 57.3% 13.6% 33.2% 2.5% 214.7 16.5 0.78 0.26
 Mark Ingram NO 55.4% 12.0% 27.4% 2.7% 203.2 16.9 0.90 0.25
 Lamar Miller MIA 56.4% 9.7% 25.7% 4.0% 233.9 14.6 0.93 0.24
 Doug Martin TB 63.4% 8.2% 32.7% 2.1% 242.3 15.1 0.73 0.24
 LeSean McCoy BUF 53.2% 14.1% 33.1% 2.0% 180.7 15.1 0.72 0.24
 DeAngelo Williams PIT 51.5% 8.0% 24.4% 4.5% 233.4 14.6 0.94 0.23
 Danny Woodhead SD 24.7% 16.0% 18.5% 4.4% 244.1 15.3 1.20 0.22
 Tim Hightower NO 64.5% 5.2% 26.5% 3.7% 86.4 14.4 0.79 0.21
 Darren McFadden DAL 58.6% 10.0% 30.1% 1.0% 199.7 12.5 0.68 0.21
 T.J. Yeldon JAC 68.5% 10.1% 30.0% 1.3% 155.9 13.0 0.68 0.21
 Chris Ivory NYJ 58.8% 6.5% 28.2% 2.8% 206.7 13.8 0.73 0.21
 Latavius Murray OAK 72.2% 8.7% 31.7% 1.9% 206.8 12.9 0.65 0.20
 David Johnson ARI 27.7% 10.1% 17.5% 6.6% 211.8 13.2 1.16 0.20
 Joseph Randle DAL 49.7% 5.0% 23.6% 4.7% 74 12.3 0.86 0.20
 Lance Dunbar DAL 4.9% 18.1% 12.0% 0.0% 49.2 12.3 1.70 0.20
 Jonathan Stewart CAR 56.6% 5.1% 30.5% 2.7% 166.8 12.8 0.63 0.19
 Carlos Hyde SF 67.4% 6.5% 30.7% 2.3% 81.3 11.6 0.63 0.19
 Frank Gore IND 65.7% 9.4% 30.2% 2.2% 199.4 12.5 0.63 0.19
 Charcandrick West KC 48.9% 9.3% 26.9% 2.6% 134.8 11.2 0.70 0.19
 Bilal Powell NYJ 22.7% 15.2% 18.0% 2.3% 135.1 12.3 1.02 0.18
 DeMarco Murray PHI 46.7% 9.4% 24.1% 2.8% 188.1 12.5 0.76 0.18
 Charles Sims TB 23.6% 13.1% 17.4% 2.3% 184 11.5 1.04 0.18
 Justin Forsett BAL 63.1% 9.7% 28.4% 1.0% 122.4 12.2 0.64 0.18
 Karlos Williams BUF 26.6% 4.4% 15.3% 8.4% 126.3 11.5 1.18 0.18
 Giovani Bernard CIN 33.0% 13.1% 21.9% 0.9% 181.2 11.3 0.82 0.18
 Marshawn Lynch SEA 50.7% 9.8% 29.2% 2.3% 80.7 11.5 0.61 0.18
 Theo Riddick DET 12.1% 15.7% 13.8% 2.1% 181 11.3 1.27 0.18
 Jeremy Hill CIN 47.8% 3.8% 24.1% 5.0% 174.3 10.9 0.72 0.17
 Mike Gillislee BUF 29.5% 4.8% 17.0% 5.6% 53.6 10.7 0.99 0.17
 Thomas Rawls SEA 39.2% 3.0% 20.4% 3.2% 129.6 10.8 0.82 0.17
 James Starks GB 33.9% 9.2% 19.0% 2.5% 172.3 10.8 0.86 0.16
 Rashad Jennings NYG 48.4% 6.3% 22.2% 1.7% 168.9 10.6 0.72 0.16
 Duke Johnson Jr CLE 27.4% 12.2% 17.1% 1.1% 164.3 10.3 0.92 0.16
 LeGarrette Blount NE 57.4% 1.5% 21.8% 4.1% 122.6 10.2 0.71 0.16
 James White NE 7.7% 11.4% 9.7% 7.9% 122.6 10.2 1.61 0.16
 Chris Johnson ARI 63.1% 3.1% 29.1% 1.4% 111.2 10.1 0.53 0.16
 Ronnie Hillman DEN 50.4% 5.8% 22.9% 2.9% 163.4 10.2 0.68 0.15
 Spencer Ware KC 29.4% 2.3% 14.5% 7.7% 82.8 9.2 1.06 0.15
 Jeremy Langford CHI 33.7% 8.6% 19.8% 3.7% 145.6 9.7 0.77 0.15
 Shane Vereen NYG 15.1% 13.0% 13.5% 2.8% 158.5 9.9 1.12 0.15
 Matt Jones WAS 41.3% 5.5% 20.6% 2.4% 122.4 9.4 0.72 0.15
 C.J. Anderson DEN 39.4% 6.3% 19.0% 2.7% 145.3 9.7 0.77 0.15
 Eddie Lacy GB 45.7% 5.2% 21.7% 2.3% 144.6 9.6 0.67 0.15
 Ryan Mathews PHI 30.0% 5.5% 15.2% 5.1% 130.5 10.0 0.96 0.15
 DuJuan Harris SEA 38.4% 11.5% 24.0% 0.0% 37.6 9.4 0.61 0.15
 Dexter McCluster TEN 21.6% 10.8% 14.3% 2.1% 93.7 8.5 0.98 0.14
 Javorius Allen BAL 36.0% 9.2% 18.5% 1.5% 149.9 9.4 0.75 0.14
 Darren Sproles PHI 18.7% 13.3% 15.0% 2.4% 149.5 9.3 0.90 0.14
 Shaun Draughn CLE 36.5% 9.9% 19.1% 0.9% 77.9 8.7 0.70 0.13
 Isaiah Crowell CLE 48.7% 3.6% 19.9% 2.4% 137.8 8.6 0.67 0.13
 Khiry Robinson NO 28.2% 6.0% 13.9% 5.3% 70.5 8.8 0.93 0.13
 Antonio Andrews TEN 44.1% 6.0% 20.1% 1.7% 108.4 7.7 0.63 0.13
 Joique Bell DET 31.3% 5.3% 14.0% 3.4% 105.7 8.1 0.90 0.13
 Melvin Gordon SD 53.5% 6.3% 23.0% 0.0% 116.3 8.3 0.53 0.12
 Travaris Cadet NE 7.7% 9.3% 8.4% 3.0% 47.2 7.9 1.43 0.12
 Andre Ellington ARI 15.9% 6.8% 10.6% 4.3% 76.7 7.7 1.11 0.12
 Ameer Abdullah DET 40.4% 6.0% 17.6% 1.7% 121.1 7.6 0.67 0.12
 Alfred Blue HOU 44.3% 3.0% 20.2% 1.5% 113.7 8.1 0.57 0.12
 Chris Thompson WAS 10.0% 10.4% 10.0% 2.4% 92.6 7.1 1.13 0.11
 Donald Brown SD 40.0% 5.2% 17.5% 1.4% 45.7 7.6 0.63 0.11
 Ahmad Bradshaw IND 20.9% 6.0% 11.4% 6.7% 42.9 7.2 0.95 0.11
 Alfred Morris WAS 47.1% 2.3% 21.3% 0.5% 97.8 6.1 0.45 0.10
 Brandon Bolden NE 23.9% 6.9% 12.9% 2.2% 69.7 6.3 0.75 0.10
 Jonathan Grimes HOU 14.6% 6.2% 9.5% 2.3% 83.5 6.4 0.96 0.09
 C.J. Spiller NO 11.2% 8.1% 9.0% 2.5% 81.1 6.2 1.01 0.09
 Denard Robinson JAC 25.2% 6.6% 12.8% 1.0% 68.8 5.7 0.71 0.09
 Kyle Juszczyk BAL 0.5% 8.3% 5.4% 6.9% 97.4 6.1 1.68 0.09
 Cameron Artis-Payne CAR 22.8% 2.7% 12.6% 2.0% 35.1 5.9 0.70 0.09
 Ka'Deem Carey CHI 21.0% 1.3% 10.3% 6.5% 38.8 5.5 0.84 0.09
 Jerick McKinnon MIN 11.0% 6.4% 8.3% 3.7% 83.4 5.2 1.03 0.09
 Branden Oliver SD 21.0% 6.0% 11.2% 0.0% 35 5.8 0.76 0.08
 Marcel Reece OAK 2.9% 6.5% 5.0% 6.4% 78.5 5.2 1.67 0.08
 Fred Jackson SEA 5.5% 8.9% 6.9% 3.0% 79.7 5.3 1.19 0.08
 Bishop Sankey TEN 16.9% 5.6% 9.6% 2.9% 59.2 4.9 0.85 0.08
 Benny Cunningham STL 9.9% 8.7% 9.1% 0.0% 65 4.6 0.89 0.08
 Mike Tolbert CAR 11.8% 4.6% 8.0% 4.7% 83 5.2 0.98 0.08
 De'Anthony Thomas KC 3.3% 8.1% 5.5% 6.1% 46.4 4.6 1.41 0.08
 Jonas Gray MIA 29.9% 3.1% 12.4% 0.0% 32.2 4.6 0.61 0.08
 Jay Ajayi MIA 25.3% 3.3% 10.9% 1.7% 40.7 4.5 0.68 0.07
 Tre Mason STL 21.5% 5.5% 12.8% 1.0% 53.5 4.1 0.56 0.07
 Chris Polk HOU 22.4% 4.8% 12.0% 1.6% 72.3 4.8 0.57 0.07
 Taiwan Jones OAK 8.1% 3.0% 4.8% 4.2% 30.8 3.9 1.28 0.06
 Tevin Coleman ATL 27.6% 1.9% 11.9% 1.0% 48.6 4.1 0.51 0.06
 Damien Williams MIA 5.7% 5.9% 5.5% 2.3% 47.1 3.6 1.07 0.06
 Zach Line MIN 2.0% 3.2% 2.5% 20.0% 34.5 3.5 2.30 0.06
 Jamize Olawale OAK 10.4% 2.9% 5.6% 2.9% 34.4 3.4 0.98 0.05
 Robert Turbin CLE 21.1% 2.6% 9.2% 1.7% 35.2 3.5 0.59 0.05
 Patrick DiMarco ATL 0.4% 4.4% 2.7% 11.1% 36 3.6 2.00 0.05
 Bruce Miller SF 2.5% 4.3% 3.3% 5.0% 30.9 3.1 1.55 0.05
 Matt Asiata MIN 6.5% 5.2% 5.6% 0.0% 43.4 2.9 0.85 0.05
 Terron Ward ATL 11.0% 3.3% 6.3% 2.4% 31.8 3.2 0.76 0.05
 Fozzy Whittaker CAR 5.8% 3.7% 4.6% 2.5% 35.2 2.7 0.88 0.04
 Andre Williams NYG 21.8% 0.5% 8.6% 1.1% 33.4 2.1 0.37 0.03

Broadly speaking, the numbers above tell us two things: how efficient a player was with his touches (PPO), and how much he was involved in the offense from a fantasy perspective (FPS/16). Prorating to 16 games levels the playing field, so to speak--we can see how much a player was involved in his team's fantasy output over a full season even if he only played 13 games. 

There is a bit of a mirage factor here in the numbers, too. A low PPO coupled with a high FPS/16 would indicate a player that relied on volume to score fantasy points, whereas a high PPO with a low FPS/16 could show a player performed well--perhaps overperformed--on relatively limited touches.

Now let's take a closer look at some standouts from the list.

Jamaal Charles, Kansas City Chiefs

Att. Yds TD Tgt Rec Yd TD PPR PPG FPS/16 eFPS/16
71 364 4 30 21 177 1 105.1 21.0 0.35 4.77

Not that we really needed to highlight just how good Jamaal Charles is, but his advanced stats pretty much tell the story. Another torn ACL has put a drag on his fantasy stock, and owners are rightfully wary of taking him too early. But a healthy Charles is one of the best PPR running backs in the league based on both volume and efficiency.

Todd Gurley, Los Angeles Rams

Att. Yds TD Tgt Rec Yd TD PPR PPG FPS/16 eFPS/16
229 1,108 10 26 21 188 0 210.6 16.2 0.28 3.89

From a bird’s eye view, Todd Gurley was the best fantasy back in the land last season. He missed out on top billing in terms of raw production after missing the first three games of the year while still making his way back from a torn ACL, but he managed to score the fifth-most points and tie for the second-most points per game (PPG) in the league. He managed that in spite of catching just 21 passes by averaging 4.8 yards per carry and scoring 10 touchdowns.

True, Gurley’s production came on the wings of several huge plays, but can we really hold that against a guy who has been favorably compared to Adrian Peterson since coming out of college? Gurley was second in the league in FPS/16 last season. His Rams were dead last in fantasy-points-generated (FPG), too—there is only one direction to go from there. Even if Jeff Fisher’s team is a brutal disappointment in 2016 yet again, Gurley is going to have a massive share of the fantasy scoring in Los Angeles.

Devonta Freeman, Atlanta Falcons

Att. Yds TD Tgt Rec Yd TD PPR PPG FPS/16 eFPS/16
264 1,061 11 97 73 578 3 320.9 21.4 0.32 3.80

How is Devonta Freeman routinely going in the middle of the second round in PPR formats? Yes, he left us all with a sour taste in our mouths after averaging an appalling 3.07 YPC over after Week 8, but he was still the top fantasy scorer on the year. More importantly, Freeman was targeted 97 times last season.

Freeman was a workhorse last season, and there is little reason to think that will change in 2016. He got the bulk of the work with or without Tevin Coleman in the lineup thanks to his pass-catching ability. The Falcons have a potent-enough passing game to keep defenses honest, and Freeman takes opposing linebackers’ lunch money in coverage. 

Carlos Hyde, San Francisco 49ers

Att. Yds TD Tgt Rec Yd TD PPR PPG FPS/16 eFPS/16
115 470 3 15 11 53 0 81.3 11.6 0.19 1.71

The entire San Francisco offense was a dumpster fire last season, so it might be a little unfair to pick on Carlos Hyde. He was simply awful, though, and there was nothing pretty to unearth in a deeper look at his season.

Chip Kelly has been a boon for perceived fantasy value, though, and Hyde’s ADP has been on the rise as a result.

Danny Woodhead, San Diego Chargers

G Att. Yds TD Tgt Rec Yd TD PPR PPG FPS/16 eFPS/16
16 97 335 3 107 81 756 6 244.1 15.3 0.22 2.84

For years Danny Woodhead has been an underrated PPR asset. His pass-catching prowess gives him a high floor to begin with, and the inability of anyone around him to take the reigns as a feature back in San Diego has given him far more volume than anyone expected. But just how good has he been with all those targets?

Yes, he led the league last season, the only running back to crack triple digits in the target category. Yes, he caught 81 of those, six of which wound up in the end zone. In spite of all this, however, Woodhead managed to rank just 12th in standard fantasy scoring last season. When you factor in all the injuries at the position, his finish is even less impressive. He was third in PPR scoring, though, but you all should know by know he is more valuable in that format.

Woodhead ranked 14th at his position in FPS/16, and it’s easy to argue last season was the peak of his usage with Melvin Gordon presumably taking on a bigger role as a sophomore. The trouble with Woodhead is his opportunity percentage--at just 18.5 percent over 16 games, he was easily the least-used running back in the top five scorers in PPR formats. If Gordon takes off, Woodhead's value will plummet.

Justin Forsett, Baltimore Ravens

Att. Yds TD Tgt Rec Yd TD PPR PPG FPS/16 eFPS/16
151 641 2 41 31 153 0 122.4 12.2 0.18 1.66

Like in San Francisco, there was nothing to like in the Baltimore offense last season. That includes Justin Forsett, who was disappointing for much of the season and missed six games with injury. He ranked just ahead of Hyde with 0.17 FPS/16, not a good look for a guy who should have had the backfield to himself. Of course, scoring just two touchdowns on 181 touches didn’t help matters.

Forsett’s touchdown rate should regress positively, but will his usage fall in the process? Javorious Allen figures to make some noise in his second year, and Kenneth Dixon has plenty of promise as a rookie. Forsett, meanwhile, is going on 31 and has a checkered injury past. It will take an

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