01
Projection
Begin with a player’s expected fantasy production from the DelQuant feed. The mean projection is kept separate from the player’s upside and uncertainty.
THE SHORT VERSION
Projection → context → lineup.
DFSReady is a downstream DFS decision layer. DelQuant provides the basketball intelligence; DFSReady adds platform salary, role context, uncertainty, and legal lineup construction.
02
Trust
Availability, minutes, role, matchup context, salary, and late news determine how much trust the projection deserves on this slate.
03
Construction
Rankings become decisions only after salary and roster rules are applied. The output is a legal DraftKings lineup surface, not a raw player list.
Three daily versions
Early · approximately 4:00 AM ETPrevious-night review plus the first view of today’s slate.
Afternoon · approximately 4:00 PM ETNews, role, availability, and salary changes are reflected.
Final · approximately 6:30 PM ETThe final pre-lock board and legal lineup concepts are timestamped and preserved.
What the model does not claim
Backtests measure point accuracy and ranking behavior. They do not prove contest winnings. Historical ROI requires salaries, ownership, contest fields, entries, payouts, and a clearly defined strategy. We do not have that evidence yet, so we do not claim it.
Player participation is joined to authoritative historical box scores for evaluation. It is not leaked into the prospective feed.