Why do some DFS lineups swing between disaster and a top finish? Often it is the quarterback and receiver sitting together. DFS stacking and correlation explains it with simple math: when two players move together, the spread of your outcomes widens even though the average stays put. You will work a stack with two scorers and watch the combined standard deviation grow from about 11 to about 13 points. Then the lesson separates smart stacking from forced stories, since targets compete and game script can flip. It closes with late swap as a conditional decision, and a plain checklist for what can and cannot change after games begin.
Learning objectives
- Explain the method, its assumptions, and when it fails.
- Recreate all examples and interpret net outcomes.
- Complete a paper-only workflow using contest rules and data timestamped before lock.
