‘Skinny stacks’ hold the strongest correlation with WR1’s dominating the study. Regression Analyses Between QB and the Other Skill Positions CombinationĪ couple of key takeaways here.
#SKINNY STACKS FULL#
At a minimum, such a strong relationship points to the viability of single stacks across a full season. A WR1’s production is significantly correlated to his quarterback. As a result, we should expect to see a significant correlation between quarterbacks and receivers. Wide receivers have earned 58.9% of the league’s targets over the last two years. Regardless, we can set expectations for the results. The cutoffs are somewhat arbitrary, but it helps establish a baseline. For wide receivers specifically, I separated wide receivers by target share:Īdditionally, I looked at tight-ends with a target share greater than 15.0%. To measure correlation, I compared PPR point totals from Weeks 1 to 16 over the last two seasons between quarterbacks and the other skill positions. ‘If X quarterback does well, then Y player will benefit.’ And the data generally supports this idea. From correlating elite receivers to the quarterbacks to connecting running backs to good defenses, we build our rosters based on those conclusions. It’s a way to quantify logical conclusions. It sounds technical, but correlation is simply a connection between two things. I used the phrase ‘adding correlation’ earlier. We’ve all seen the methods used as we get deeper into draft season, but let’s dive into why they’re viable. There’s added risk with more capital centered on one team, but the reward can be a league winner. Again, wide receivers dominate the approach, but high-end running backs and tight-ends also enter the mix.
But we’re looking at a full season in best ball. If we expect a quarterback to perform well, then his pass-catchers should benefit as a result. BackgroundĪdding correlation to your lineups in other formats (like DFS) has been around for a few years. Finally, I looked at last year’s stacks for common profiles, identified my favorite stacks for 2021, and provided some guidelines on implementation.
Subjectively, rosters with multiple stacks are aesthetically pleasing but there should be a way to analytically support stacking. Stacking comes in a variety of forms and I broke down the common approaches. To help, I took a step back to analyze the strategy. More FFPC best ball articles: Roster Construction | QB Win Rates | RB Win Rates | WR Win Rates | TE Win Rates An oversimplification, but it starts the conversation as to why integrating stacks into your rosters can be beneficial. Pick a team and get as many players as possible from that team. Its core tenets require some nuance but the method itself is straightforward. Stacking in best-ball formats has become one of the popular strategies to enter the fantasy football community this offseason.
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