FantasyPros vs. Dynasty Trade Values: How the Methodologies Differ

Introduction

FantasyPros and Dynasty Trade Values both publish a dynasty trade value chart that puts a single number on every player. It is one of the biggest names in fantasy sports, and its chart carries the weight of a full analyst team. Where that number comes from, though, is genuinely different from how ours is built.

This is a methodology comparison, not a numbers comparison. The specific values on either site shift as new data comes in and are not reproduced here. What matters is understanding how each site actually builds its number in the first place.

Quick Summary

• FantasyPros builds its dynasty trade value chart from a consensus of its analysts’ dynasty rankings, converted into trade values and refreshed on a monthly update cycle.
• Dynasty Trade Values is algorithmic: values are computed from measurable data (ADP, age, and position), run through a consistent formula, updated on a regular sync schedule.
• Analyst-consensus values reflect what experienced evaluators collectively believe a player is worth. Algorithmic values reflect what the underlying data shows, independent of opinion.
• Neither approach is objectively more correct. They are built to answer the value question from different angles.
• Knowing which methodology you are looking at tells you what a value can and cannot account for.

How FantasyPros Builds Its Values

The site starts with rankings, not trades or votes. Its analysts, including names like Derek Brown, Pat Fitzmaurice, and Andrew Erickson, each maintain dynasty rankings. The site blends those into a consensus and converts that consensus into trade values for players and picks. The chart is refreshed on a monthly update cycle.

The strength of this approach is professional judgment at scale. These are analysts who watch film, track depth charts, and adjust for coaching changes for a living. A consensus of several such analysts smooths out any single person’s blind spots while keeping the human read on situations that raw data has not caught yet, like a second-year player whose role is clearly growing before the draft market reprices him.

The tradeoff is that analyst consensus is still opinion, however informed. Rankings can carry shared blind spots: if the whole analyst community is slow on a breakout or collectively high on a fading veteran, the consensus moves together. And a monthly refresh cadence means the chart can sit still between updates while news keeps moving.

How Dynasty Trade Values Builds Its Values

Our values are computed algorithmically from average draft position (ADP), age, and position, run through a consistent formula and recalculated on a regular sync schedule. No analyst panel ranks anyone, and no monthly opinion cycle gates an update. The strength here is consistency: the same inputs always produce the same output, with no group judgment layered on top.

The tradeoff is the mirror image of an analyst-driven approach. A pure formula will not catch a situational read that an experienced analyst spots on film or in a beat reporter’s notes before it shows up in ADP, in exchange for never carrying an entire panel’s shared blind spot either.

Side-by-Side: The Two Approaches

Why Neither Approach Is “More Correct”

An analyst-consensus value and an algorithmic value are answering slightly different questions. FantasyPros is telling you what a panel of professional evaluators collectively believes players are worth. Dynasty Trade Values is telling you what a consistent, data-driven formula computes players to be worth. Both are legitimate ways to build a value. They are measuring different things, which is why they can disagree on the same player without either one being wrong.

When Each Approach Has an Edge

Analyst consensus has an edge on situational reads. An injury, a depth chart shakeup, or a coaching change gets processed by people whose job is to notice exactly that, often before draft data moves. For young or ambiguous players where the data is thin, a trained human read is genuinely valuable.

The algorithmic approach has an edge for consistency and independence. The formula never has groupthink, never falls in love with a prospect, and never waits for a monthly cycle to reflect what the data already shows. When the data and the consensus disagree, that disagreement itself is information worth having.

Common Mistakes When Comparing the Two

• “Assuming a value gap between the two sites means one is wrong.” It almost always just means the two methodologies weighted something differently, analyst judgment versus formula-driven data, not that either made an error.
• “Treating analyst consensus as objective because professionals made it.” Informed opinion is still opinion. A panel can share blind spots, overweight recent performance, or move slowly on an unpopular take, just like any group of smart people.
• “Treating an algorithmic number as immune to being wrong.” A formula is only as good as its inputs. If ADP has not caught up to a real situational change yet, the algorithmic value has not either.
• “Mixing values from two sites in the same trade conversation without noting the source.” If you are citing a number to a trade partner, it is worth being clear which methodology it came from, especially if the two disagree meaningfully.

Expert Tips

• Use analyst consensus as a situational read, and algorithmic values as a steadier baseline. Each is better suited to a different part of your evaluation process.
• Check when the analyst chart was last refreshed. On a monthly cycle, a chart updated three weeks ago may not reflect this week’s news. Recency of the update matters as much as the methodology.
• Do not assume either site’s number is the “market.” Both are one legitimate read on value, not a universally agreed-upon price.
• Check the format (1QB vs Superflex) on both regardless of methodology. Format sensitivity matters independently of how a value was built.

FAQ

• “Is FantasyPros or Dynasty Trade Values more accurate?” Neither is universally more accurate. They are built on different methodologies answering the value question from different angles. Analyst-consensus values reflect collective professional judgment; algorithmic values reflect a consistent formula applied to real data. Which one suits you depends on whether you want a human read on situations or a steady, repeatable calculation.
• “Why do the two sites often show different values for the same player?” Because they are built on fundamentally different inputs: one blends professional analysts’ rankings, the other runs ADP, age, and position through a fixed formula. A gap between them reflects a difference in methodology, not necessarily an error on either side.
• “Does Dynasty Trade Values copy or reference FantasyPros’ numbers?” No. Values here are computed independently from ADP, age, and position through an original formula, never seeded from or matched against another site’s published numbers.
• “Is the FantasyPros trade chart the same thing as ECR?” They are related. ECR, or Expert Consensus Rankings, is FantasyPros’ signature rankings product, and the dynasty trade value chart is built from its analysts’ dynasty rankings consensus, converted into trade values.
• “Should I use both sites when evaluating a trade?” It is a reasonable approach. Using an analyst-consensus value as a situational check and an algorithmic value as a steadier baseline can give you a more complete picture than relying on either alone.

Key Takeaways

• FantasyPros builds its dynasty trade chart from a consensus of its analysts’ dynasty rankings, refreshed monthly.
• Dynasty Trade Values is algorithmic, built from ADP, age, and position through a consistent formula, updated on a schedule.
• Neither methodology is objectively more correct; they are built to measure different things.
• A gap between the two usually reflects a difference in approach, not an error.
• Knowing which methodology you are looking at tells you what the number can and cannot account for.
• Also see how our methodology compares to KeepTradeCut, FantasyCalc, DynastyProcess, and DynastyDealer.