One per line: Player, Market, Line, OverOdds, UnderOdds — e.g.
Ja'Marr Chase, Receptions, 6.5, -130, +105. Market accepts Receptions, Rec Yds, Rush Yds,
Pass Yds, Pass TDs, Rush+Rec Yds, Anytime TD. Odds are American; leave the under blank if you only have one side.
Press Price props from the pool to build stat lines for every player on the slate.
Each player already has 10,000 simulated fantasy scores. We turn each of those into a stat line by scaling his projected receptions, yards and touchdowns by how good that particular sim was for him — using exponents measured from real 2025 game logs (a WR's receptions scale with the exponent 0.58, his yards 0.91; a QB's passing touchdowns scale at 1.31, because big quarterback games are touchdown-driven rather than yardage-driven). Receptions are then drawn as catches out of targets, yards as a gamma per catch, touchdowns as counts — each tightened so the total spread matches what those players actually did week to week, since a prop's price is almost entirely a question of spread rather than average. Because the stat sims stay aligned with the fantasy sims, asserting a 38-point game on the Board re-weights these props automatically.
Hold is the book's built-in margin on the two-sided price. Edge compares our probability to the vig-free market probability. EV is what you'd expect to make per dollar at the price shown.
One click pulls everything from public feeds — no One Week Season involved: DraftKings (players, salaries, injury status, matchups), ESPN (totals & spreads), Sleeper (stat-line projections & injury news). Player IDs are DraftKings' own, so your pins, stars and groups survive a refresh.
Projection columns understood: name / player · team · pos · proj / projection / fpts / points / dk · ceil / ceiling · own / ownership / proj own · salary. Bink-style exports (Id,Name,Position,Team,ProjPts,ProjOwn) work as-is.
Home line as the book writes it (−3.5 = home favored by 3.5). Pulled from ESPN; edit and rebuild if you disagree.
| Game | Total | Home line | Implied | Kickoff |
|---|
Higher shared passing variance ties a QB more tightly to his receivers (OWS behaves like ~0.55–0.6 here). Lower κ means receivers compete harder for targets. Rebuild after changing.
Pulled from your Sleeper league (Superflex, half-PPR, TE +0.5). When the slate comes from the weekly pull, league points are scored exactly from Sleeper's stat lines; the built-in Week 1 sample converts DK points through a positional template instead.
Everything autosaves in this browser. Export a snapshot to move it between devices or keep a week's work.