DFS Stacking Strategy Tool

Build and analyze DFS stacks with correlation and ceiling projections

Formula:Stack Ceiling = Base Projection + 1.28 × √(Σ Var + 2 × Corr × Cov)

Stack Builder

Configure your correlated player stack

pts
pts
pts
pts
pts
Presets:

Stack Analysis

3-player stack evaluation

Stack Rating
Strong Stack
3 players stacked
Game Environment
Good Environment
27 implied

Stack Projection

50.0 pts

Stack Ceiling

64.6 pts

Stack Floor

35.4 pts

Variance Boost

+64.0%

Projection Range

Floor: 35.4Projection: 50.0Ceiling: 64.6
Stack Assessment: Excellent GPP construction - high correlation in strong environment

Stack Examples

Common DFS stacking scenarios

Quick Answer

TL;DR summary

Stacking groups correlated players to maximize upside. The classic NFL stack is QB + 2 WR from the same team (~35% correlation each). Stacks increase both ceiling and floor variance - essential for GPPs but risky for cash. Target teams with high implied totals (27+ points) for optimal stack environments.

Key Stacking Facts

Important things to know

  • QB + WR same-team stack has ~35% correlation per pair
  • Full passing stacks (QB + 2 WR + TE) maximize correlated upside
  • Game stacks (QB + opp WR) benefit from shootout scripts
  • NHL full lines have highest correlation (~45%)
  • MLB team stacks are essential for tournament success
  • Stack correlation compounds with more players
  • High implied team total (27+) = better stack environment
  • Bring-back WR from opposing team creates game stack leverage

Frequently Asked Questions

Common stacking questions

What is the best NFL stack construction?

The optimal GPP stack is typically QB + 2 WR from the same team, optionally with a bring-back WR from the opposing team. This creates double correlation: same-team correlation plus game stack correlation from high-total environments.

How many players should I stack?

3-4 players for NFL GPPs (QB + 2-3 pass catchers). NHL benefits from full 3-player line stacks. MLB stacks work best with 4-5 hitters. More players = higher variance, better for large-field GPPs.

When should I avoid stacking?

Cash games favor independent player selection over stacks. Low implied totals (under 24 for NFL) make stacks less effective. Avoid stacking when primary stack pieces are heavily owned - you need differentiation.

What is a bring-back and why use it?

A bring-back is rostering a player from the opposing team in your stack. It creates a game stack that benefits from high-scoring games regardless of which team dominates. QB + WR from Team A, then WR from Team B = game stack correlation.

How do I evaluate stack environments?

Look for high Vegas totals (52+ combined for NFL), pass-funnel defenses, indoor games, and competitive game scripts where neither team will run out the clock. Weather, pace of play, and defensive weaknesses all factor in.