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Best DFS stacks to play in Week 18

Arlington, Texas, USA; Arizona Cardinals quarterback Kyler Murray (1) runs the ball in the third quarter against the Dallas Cowboys at AT&T Stadium. Mandatory Credit: Tim Heitman-USA TODAY Sports

This analysis of DFS main-slate stacks is a variation of the methodology used in analyses on the single-game DraftKings showdown slates. It uses the combination of current projections, historical game results and similarity algorithms to simulate an upcoming game by looking back at the most similar historical matchups.

I’m taking the same outline and applying it instead to the DFS main slate by projecting the likelihood each team’s QB-WR, RB-DST, QB-WR-TE, QB-RB-WR stacks will be the highest-scoring of the slate. These are some of the most popular stack combinations employed in DFS strategy.

The information below is entirely in the form of plots and tables. If you’d like additional information and analysis on the same methodology broken out by position, please refer to the positional piece that also comes out every week.


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METHODOLOGY

For each game on the DFS Sunday main slate, I looked through thousands of NFL matchups from 2014-2021 and found the closest analogies according to the following parameters: betting spread, over/under, average fantasy points scoring for the top-ranked positional players of both rosters (QB1, RB1, WR1, TE1).

Once I get the 75 most similar matchups for each upcoming game, I simulate the main slate 10,000 times by randomly choosing one of the 75 matchups for each game and then find the highest-scoring QB-WR, RB-DST, QB-WR-TE and QB-RB-WR stacks on the simulated slate.

Every match of historical and current games is not perfect, but the simulation allows us to smooth out the bumps and get a strong picture of how a slate of similar games would have played out.

The last step is totaling up the number of times a particular team shows up as the top stack for each of the three stacks projected and then dividing that number by the total simulations. That number is what I call “highest scoring %” on the y-axis of the plots below labeled by team logo. Below the plots by team, I join the highest projected players that make up the stacks for that team and list their projected fantasy points and salaries for DraftKings and FanDuel.

HOW TO VIEW THE PLOTS

Each plot below has every team on the main slate positioned by the combined salary of the stack and the percentage of time that team’s stack was the highest scorer in the simulations.

One way to look at them is that anything above the dashed horizontal line is a good scoring stack, and anything to the right of the dashed vertical line is a high-priced stack. You should pay most attention to the upper-right (high-scoring and high-priced) and upper-left (high-scoring and low-priced) quadrants. Ideally, you’ll find something in the upper-left that you’re confident in, but often paying up and moving into the upper-right can be beneficial.

QUARTERBACK/WIDE RECEIVER STACK

QB/WR players
Team Highest % Player Pos DK Fpts DK Salary FD Fpts FD Salary
ARZ 8.2 Kyler Murray QB 26.5 7,400 24.8 8,400
ARZ 8.2 Christian Kirk WR 14.1 6,000 11.2 6,200
IND 7.8 Carson Wentz QB 19.1 5,800 18.0 7,200
IND 7.8 Michael Pittman Jr. WR 15.5 5,900 12.2 6,600
SF 7.0 Trey Lance QB 16.9 5,500 16.1 7,000
SF 7.0 Deebo Samuel WR 14.0 8,500 10.9 8,800
BUF 6.7 Josh Allen QB 28.2 8,100 26.7 8,800
BUF 6.7 Stefon Diggs WR 19.4 7,800 15.4 7,700
GB 5.5 Aaron Rodgers QB 23.5 7,800 22.4 8,200
GB 5.5 Davante Adams WR 18.3 9,400 14.6 8,800
TB 5.2 Tom Brady QB 25.2 7,500 23.3 8,100
TB 5.2 Mike Evans WR 15.1 7,100 12.3 7,800
BLT 4.8 Tyler Huntley QB 18.8 5,700 17.8 7,000
BLT 4.8 Marquise Brown WR 13.0 5,900 10.2 6,200
ATL 4.5 Matt Ryan QB 18.9 5,200 17.5 6,400
ATL 4.5 Russell Gage WR 13.0 5,600 10.1 5,700
NE 4.3 Mac Jones QB 17.5 5,400 16.4 7,000
NE 4.3 Jakobi Meyers WR 11.6 5,200 9.1 6,000
NYG 4.2 Mike Glennon QB 11.8 4,900 11.3 6,200
NYG 4.2 Kenny Golladay WR 9.9 5,100 8.2 5,300
CLV 3.9 Case Keenum QB 16.4 4,800 15.3 6,300
CLV 3.9 Jarvis Landry WR 11.6 5,400 9.2 6,000
LA 3.9 Matthew Stafford QB 21.3 6,700 19.6 7,400
LA 3.9 Cooper Kupp WR 26.4 9,700 20.0 10,000
NO 3.7 Taysom Hill QB 21.1 6,200 20.0 7,700
NO 3.7 Marquez Callaway WR 11.2 5,000 9.1 5,900
PIT 3.6 Ben Roethlisberger QB 15.2 5,400 14.3 6,700
PIT 3.6 Diontae Johnson WR 15.9 7,600 12.2 7,600
MIN 3.4 Kirk Cousins QB 18.6 6,100 17.2 7,200
MIN 3.4 Justin Jefferson WR 21.2 8,100 16.5 8,500
DET 3.1 Jared Goff QB 13.7 5,400 12.7 6,800
DET 3.1 Amon-Ra St. Brown WR 13.2 6,800 9.9 7,500
TEN 3.1 Ryan Tannehill QB 23.3 6,000 22.0 7,300
TEN 3.1 A.J. Brown WR 20.0 7,000 15.9 7,400
SEA 3.1 Russell Wilson QB 21.6 6,300 20.2 7,500
SEA 3.1 D.K. Metcalf WR 17.6 6,900 13.9 7,200
CHI 3.0 Justin Fields QB 19.2 5,400 18.0 7,100
CHI 3.0 Darnell Mooney WR 14.2 5,900 11.1 6,300
CIN 2.5 Joe Burrow QB 9.6 7,200 9.3 7,900
CIN 2.5 Ja'Marr Chase WR 16.8 8,300 13.5 8,000
MIA 2.4 Tua Tagovailoa QB 16.7 5,300 15.6 6,500
MIA 2.4 Jaylen Waddle WR 13.7 6,300 10.4 6,800
HST 2.4 Davis Mills QB 17.6 5,300 16.3 6,400
HST 2.4 Brandin Cooks WR 18.5 6,300 14.2 7,100
NYJ 1.6 Zach Wilson QB 13.5 5,200 12.8 6,500
NYJ 1.6 Braxton Berrios WR 7.8 4,900 5.9 5,900
WAS 1.6 Taylor Heinicke QB 16.7 5,400 15.8 6,900
WAS 1.6 Terry McLaurin WR 13.2 6,200 10.4 6,700
JAX 1.0 Trevor Lawrence QB 16.5 5,100 15.3 6,500
JAX 1.0 Marvin Jones Jr. WR 11.7 4,300 9.2 5,400
CAR 0.8 Sam Darnold QB 14.4 5,000 13.4 6,600
CAR 0.8 D.J. Moore WR 16.8 5,800 13.0 6,100

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