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Intelligence engines

Does the grade actually predict?

Anyone can publish a rating. We backtest ours. Build the process grade on the first half of the season, then measure how well it ranks second-half production, against the obvious baseline: past production predicting future production. If the grade adds lift, it carries forward signal.

How we read it

Grade ρ: does the grade rank the future?

Spearman rank correlation between the first-half process grade and second-half production, within position. Higher is better.

Lift: does it beat the past?

Grade ρ minus baseline ρ (past production → future production). Positive means the grade adds signal the box score didn't already have.

Call hit-rate: were buy/sell right?

Of first-half buy-lows, how many rose; of sell-highs, how many fell. Read against the 50% coin flip.

for PRO members only

Does the grade actually predict?

Does the grade actually predict? is a Pro-tier analytics engine. This is the same data served by the premium /api/intelligence/proof endpoint, gated for Pro and Elite members.

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Data via nflverse (nflverse-data), licensed CC BY 4.0. How we source data

More engines & APIs5 engines without a standalone boardExtra feeds and player boards. Expand to browse them.

Roster Advice

Turns a posted roster into real add / drop / hold decisions (pairs with league sync).

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.