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QB/WR/TE Stack Analysis

On the primary DFS projection page, R2 presents estimates of the probability that a player will appear in an optimal lineup based on the results of 10,000 simulations.  In those simulations, the projections of quarterbacks and their receivers are uncorrelated.  However, in DFS you want to take advantage of correlations between players to give your roster a higher ceiling.  A primary method to achieve this is to stack a quarterback in the same lineup with one or more of his receivers.  To estimate the probability that a QB and WR/TE tandem appear in the optimal lineup that week, we simulate the week again with some correlation between QB performance and WR performance using a coefficient we estimated empirically. 

*Stack analysis is last updated on Saturday.  Some stacks may contain injured players.*

QB
WR/TE
% Optimal Lineups
QB Proj
QB St Dev
WR/TE Proj
WR/TE St Dev
Stack Cost
Joe Burrow
Hayden Hurst
5.6
18.7
9
8.1
6.4
9800
Joe Burrow
Tyler Boyd
5.28
18.7
9
8.4
7.3
10600
Patrick Mahomes
Justin Watson
2.26
21.3
9.1
5
5
10600
Brock Purdy
Jauan Jennings
1.76
17
8.7
5.6
5.8
8600
Patrick Mahomes
Noah Gray
1.16
21.3
9.1
3.9
3.8
10100
Jalen Hurts
Quez Watkins
0.62
20.4
9
3.5
4.4
10300
Joe Burrow
Trenton Irwin
0.32
18.7
9
2.7
4.2
9800
Jalen Hurts
Zach Pascal
0.28
20.4
9
0.8
4.9
10200
Patrick Mahomes
Skyy Moore
0.22
21.3
9.1
2.1
4.2
10600
Brock Purdy
Ray-Ray McCloud
0.18
17
8.7
1.4
3.9
8300

©2023 by r2 sports metrics.

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