Roster Advice
Turns a posted roster into real add / drop / hold decisions (pairs with league sync).
Intelligence engines
Expected Points: what the usage should have produced
What a player's real usage should have produced: expected points from the carries, targets, air yards, and field position he actually saw, independent of whether the ball bounced his way.
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.
for PRO members only
Expected Points: what the usage should have produced
Expected Points: what the usage should have produced is a Pro-tier analytics engine. This is the same data served by the premium /api/intelligence/expected-points endpoint, gated for Pro and Elite members.
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Expected points data from ffverse/ffopportunity (CC-BY-SA-4.0) How we source data
More engines & APIs5 engines without a standalone boardExtra feeds and player boards. Expand to browse them.
Graded Pool
Combines the player grade, expected points, team environment, and passing signal into one ranked pool that feeds every fantasy tool.
QB Consensus
Two public QB ratings side by side. When they disagree, we show it instead of averaging it away.
Rushing Efficiency
Yards over expected per carry, next to volume and stacked-box context: bell-cow, buy-low, or volume-dependent.
Receiving Opportunity
Air yards and target share combined into one opportunity score, with a clear buy / sell read.