Calculate stack variance and ceiling boost from player correlations
Combined Variance = Var(A) + Var(B) + 2×Correlation×StdDev(A)×StdDev(B)Enter two players to analyze stack potential
Combined projection and variance
Stack Projection
35.0 pts
Stack Ceiling
47.6 pts
Stack Floor
22.4 pts
Ceiling Boost
+1.8 pts
Common DFS correlation scenarios
TL;DR summary
Correlation measures how two players' scores move together. Positive correlation (0.2-0.5) means both benefit from the same game script - ideal for stacks. Negative correlation (-0.1 to -0.3) means one benefits when the other doesn't. Understanding correlation is essential for building GPP lineups with correlated upside.
Important things to know
Common correlation questions
Correlation measures how two players' fantasy scores move together. A correlation of +0.35 means when Player A exceeds their projection, Player B likely does too. This relationship is driven by shared game script (both benefit from pass-heavy game flow).
Positive correlation increases lineup variance (ceiling and floor). When correlated players boom together, your lineup explodes. When they bust together, your lineup tanks. This variance is valuable in GPPs where you need to beat thousands of entries.
QB-WR from the same team (~0.35 correlation), QB-TE (~0.25), and same-team passing game players. Game stacks (QB + opposing pass catchers) have ~0.20 correlation as shootouts benefit all passing game players.
Generally no. Cash games reward consistency over upside. Independent player selections provide a more stable floor. Save correlation stacks for GPPs where you need to differentiate from the field and hit ceilings.
Negative correlations create natural hedges. If you roster a DST, consider fading their opponent's RB (negative correlation). If you roster a pitcher, you're naturally fading opposing hitters. Use this for game theory plays.