Six chapters, thirty-five lessons, one $99 purchase — built from four seasons of real DraftKings NFL contest data, measured, not guessed. Written by a derivatives trader of over fifteen years who spent roughly 1,000 hours this year teaching a machine to think about DFS.
How many truly different lineups a contest actually contains, what a copy of your lineup costs at the payout window, and why the famous “ownership sweet spot” rule is a statistic about everybody — not winners.
What a simulation has to get right to be worth trusting: player shapes, game scripts, a modeled crowd that copies and spends like the real one, and a payout table that tells the machine what to chase.
The correlation table every sharp player has seen, what it hides, how links flip sign with the game script, and what a stack is really buying at the only part of the leaderboard that pays.
When you submit a set of lineups, how many separate bets have you actually made? Counted on a real 450-entry Super Bowl portfolio, plus how to size a bankroll to survive the drawdowns between the spikes that pay.
Why the captain seat is the biggest decision on the roster, how the size of the room changes the score worth chasing, and the strange experiment where perfect knowledge of the field made the machine play worse.
What a large language model actually is, what in this series will still be true as the field starts using these tools, and what is left for a human to do once the machines handle the rest.
Get all six chapters for $99, one time — no renewal, nothing to cancel. Buy now.
