Our series of analyses on the single-game DraftKings showdown slates 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 individual quarterback, running back, wide receiver, tight end and D/ST option will be the highest scorer of the slate. In doing this, we can find the unlikely tournament plays who may not have been on your radar.
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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 get 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. Then, I find the highest-scoring quarterback, running back, wide receiver, tight end and D/ST on the slate.
The last step is totaling the number of times a particular team shows up as the top option for the slate at each position and dividing by the total simulations. That number is what I call “highest-scoring %” in the team-labeled bar charts below. Below the charts, I join the highest-projected player on that team for the position, then list their projected fantasy points and salaries for DraftKings and FanDuel.
QUARTERBACKS
| Pos | Highest % | Player | Team | DK Fpts | DK Salary | FD Fpts | FD Salary |
| QB | 11.12 | Patrick Mahomes | KC | 26.6 | 8,400 | 24.5 | 8,800 |
| QB | 10.14 | Tom Brady | TB | 25.7 | 7,700 | 23.7 | 8,000 |
| QB | 9.41 | Matthew Stafford | LA | 24.6 | 7,100 | 22.8 | 8,100 |
| QB | 8.67 | Lamar Jackson | BLT | 27.3 | 7,400 | 25.6 | 8,400 |
| QB | 8.14 | Derek Carr | LV | 21.4 | 6,000 | 19.9 | 7,400 |
| QB | 8.03 | Kyler Murray | ARZ | 26.1 | 8,500 | 24.8 | 8,700 |
| QB | 6.81 | Aaron Rodgers | GB | 22.4 | 7,500 | 21.2 | 7,900 |
| QB | 6.50 | Matt Ryan | ATL | 20.0 | 5,700 | 18.6 | 7,300 |
| QB | 6.43 | Ryan Tannehill | TEN | 21.0 | 6,400 | 19.5 | 7,600 |
| QB | 3.34 | Taylor Heinicke | WAS | 16.5 | 5,200 | 15.5 | 6,900 |
| QB | 3.31 | Sam Darnold | CAR | 18.4 | 5,900 | 17.2 | 7,700 |
| QB | 3.17 | Davis Mills | HST | 16.1 | 4,900 | 14.8 | 6,400 |
| QB | 2.74 | Tua Tagovailoa | MIA | 18.6 | 5,500 | 17.3 | 7,100 |
| QB | 2.46 | Justin Fields | CHI | 16.3 | 5,300 | 15.3 | 6,500 |
| QB | 2.40 | Joe Burrow | CIN | 19.7 | 6,200 | 18.2 | 7,200 |
| QB | 2.19 | Jalen Hurts | PHI | 19.4 | 6,900 | 18.1 | 8,300 |
| QB | 2.13 | Jared Goff | DET | 13.4 | 5,000 | 12.4 | 6,700 |
| QB | 1.86 | Zach Wilson | NYJ | 14.4 | 5,100 | 13.5 | 6,400 |
| QB | 1.63 | Mac Jones | NE | 18.6 | 5,300 | 17.4 | 6,800 |
| QB | 1.37 | Daniel Jones | NYG | 20.1 | 5,400 | 18.5 | 7,000 |
RUNNING BACKS
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