Roster Advice
Model → real add/drop/read decisions for a posted roster (composes with Sleeper sync).
Intelligence engines
How we read it
xFP: expected, not actual
ffverse's ff_opportunity models the fantasy points a usage profile should yield. Expected points persist far better than actual points, which swing on touchdown luck.
Buy-low: expected outruns actual
When the expected percentile sits well above the actual percentile, the usage says the production is coming. Buy-low before it corrects.
Sell-high: actual outruns expected
When actual outruns expected, the player is running hot on conversion luck. Sell-high before it regresses. In-line means the points are earned by the opportunity.
Rights-gated
Expected points data from ffverse/ffopportunity (CC-BY-SA-4.0) How we source data
Model → real add/drop/read decisions for a posted roster (composes with Sleeper sync).
Composes the model + xFP + team environment (real schemeFit from neutral-script offensive EPA) + QB-forward passing signal into a real graded pool that drives every fantasy tool when the founder enables it.
ESPN QBR (results) vs Next Gen CPOE (accuracy), triangulated. Disagreement surfaced, not averaged.
RYOE/att vs volume with stacked-box context: bell-cow / buy-low / volume-dependent.
Air-yards & target share → WOPR, with opportunity-vs-production buy/sell.