Methodology

Packages, 1-for-1s, and the Value Curve

If you've ever plugged a 3-for-1 into our trade calculator and thought the side giving up three players got a raw deal, this article is for you. Two of the most common questions we get, “why do packages look unfair?” and “why is your value curve steeper than other sites?”, are really the same question, and the answer comes from how real trade markets behave.

Not all trades are equally informative

A clean 1-for-1 swap is the sharpest signal a market can produce: two managers looked at exactly two assets and agreed they were close enough in value to trade. There's no ambiguity about what was compared to what.

A big package trade is different. When four assets go one way and two go the other, the trade tells us the totals were roughly equal. It doesn't tell us how value was distributed inside each side. Was the throw-in bench player worth something, or was he filler? Did the pick carry the deal, or the veteran? Mathematically, a package is consistent with many different splits, and a naive model just averages them. That averaging smears value across package participants and is a real source of error.

Our answer: weight trades by the clarity of their signal. Clean swaps count more; sprawling packages count less. Package trades still matter (they are a huge share of dynasty volume), but they refine values rather than define them.

The consolidation premium is real

Here's what the market consistently shows. The side consolidating, trading several pieces for one stud, pays a premium, and managers pay it willingly. The reasons are structural. Your starting lineup has limited slots, so one elite producer beats two good ones you can't both start. Roster spots have real cost. And elite players are scarce in a way that depth simply isn't: you can find useful players on waivers all season; you cannot find a top-5 dynasty asset there.

There is a second, subtler effect in the data itself. For every elite player who gets traded, many more stay put because their managers turned down every offer that came in. Those declined offers never appear in trade data, but they are market information: the true price of a stud includes all the deals his manager said no to. Observed trades capture only the moments a deal cleared, so raw trade data alone understates what elite players are worth across the whole market.

Our curve is steep on purpose

This is a deliberate design choice, not a claim that other sites made an arithmetic mistake. There are two defensible ways to price elite players. You can publish the clearing price: what studs fetch in the subset of trades that actually happen. Or you can publish the hold value: what the player is worth to the roster that has him. Hold value is what the consolidation market reveals when managers pay up to acquire studs in packages, and it's what the majority of managers express, silently, every time they hold.

We shape our value curve toward hold value at the top. When we test our values against real held-out trades, that choice shows up exactly where you would expect. Our values price consolidation trades, the several-for-one deals where getting the stud's value right matters most, better than flatter alternatives. The trade-off is that a steep curve sits above the level where some individual 1-for-1 trades clear. We think that's the right anchor, because the price most of the market holds at is better information than the subset of deals that happened to clear below it.

What this means in the calculator

When a 3-for-1 for an elite player shows as roughly fair even though the three-player side “adds up” to more on a flatter site, that's the consolidation premium working as intended. And when you're the one consolidating, remember the calculator's verdict is a market baseline, not a command. Paying a small premium to land the best player in the deal is how championship rosters usually get built.