Stop guessing which team to stack. This runs thousands of correlated Monte-Carlo sims on every team's best 4- or 5-man stack β modeling that a team's bats boom together β and ranks them by ceiling, boom%, and ownership leverage. The top of this board is where tournaments are won.
How the sim works: for each team we take its projected batting order, then simulate the stack thousands of times with a shared team "environment" multiplier (when a team scores big, its whole stack rises together β real correlation), individual variance per hitter, and a home-run spike weighted by each bat's HR probability. Ceiling (p95) = how high the stack goes on its best day. Boom% = how often the stack clears a tournament-winning threshold. Leverage = the field's combined ownership on that stack β low + high-ceiling is the GPP sweet spot.