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DFS data dive: Hunting the best stacks of Week 4

Nashville, Tennessee, USA; Arizona Cardinals quarterback Kyler Murray (1) celebrates as he runs in for a touchdown during the first half against the Tennessee Titans at Nissan Stadium. Mandatory Credit: Christopher Hanewinckel-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.

In this analysis, 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 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 and average fantasy points scoring for the top-ranked positional players of both rosters (QB1, RB1, WR1, TE1).

Once I find the 75 most similar matchups for each upcoming game, I then simulate the main slate 10,000 times by randomly choosing one of the 75 matchups for each game and then pick out the highest-scoring QB-WR, RB-DST, QB-WR-TE and QB-RB-WR stacks on the entire 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 stacks for each of the three stacks projected, and then divide 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, 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-scoring in the simulations.

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