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How SnapCount prices players and rookie picks. No black box, no invented numbers: real trades, expert consensus, and guardrails that keep every value honest to the market.
Every veteran value starts from two independent reads of the dynasty market: prices from real completed trades across thousands of active leagues, and expert consensus rankings. Each signal has a blind spot. Trade prices tell you what managers actually pay, but a single splashy deal can move a thin sample. Expert consensus is stable, but it measures opinion, not behavior.
SnapCount blends the two, so a quirk in either source can only move a player part of the distance. When both signals agree, you can trust the number. When they disagree, the blend lands between them instead of chasing either extreme.
Our algorithm layers production, efficiency, age, and situation on top of the market baseline, but the final value is clamped to stay close to the market consensus for every player with real market data. The algorithm sharpens ordering within tiers; it is not allowed to invent a price the market would never pay.
That guardrail is why SnapCount values are usable directly in trade negotiations: they track what a reasonable league actually trades at, not what a model wishes were true.
Dynasty value decays differently by position. Running backs fall off a cliff that receivers do not; quarterbacks in superflex hold value deep into their thirties; tight ends mature late. Where the market already prices a player’s age into his consensus rank, we trust the market. Where a player has no market anchor, position-specific age curves take over.
Fresh rookies have no production history, so their values lean on two things: their market price as it forms, and a floor derived from actual NFL draft capital, sloped by pick number rather than just round. The floor protects a rookie from being undervalued before the market catches up; it never inflates a player above what real trades support for his draft slot.
Pick values are bucketed the way leagues actually trade them: Early, Mid, and Late for each round, across the current class and the next two. Current-year buckets average real trade prices for the individual slots. Future-year buckets apply the year-over-year discount observed in real trades to each round, so a 2027 first is priced the way 2027 firsts actually move, not by guesswork.
Week-to-week movement comes from real trade activity. Levels are calibrated so values stay comparable over time, which keeps pick-for-player verdicts in the trade calculator consistent from one refresh to the next.
Every player and pick carries separate values for 1QB and superflex, sourced from format-specific market data, never a flat multiplier on one base number. TE-premium values lift tight ends by the premium observed in actual TEP market pricing.
Market snapshots are refreshed regularly from live data (current snapshot: 2026-06-10). If a snapshot ever goes stale, the system automatically defers to live open-data feeds rather than serving weeks-old prices — you will never trade against a frozen market.
We grade our own calls in public. The track record page scores SnapCount’s past predictions against what actually happened, week by week — receipts, not vibes.