TRADE ANALYSIS ENGINE

Trade Calculator

The data behind the deal.
Step 1 · Choose your path
Step 2 · Build the deal
Trade Table
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Pick team
Trade Proposal
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Trade Proposal
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Team A vs Team B
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Analyzing trade data
Team A VS Team B
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Analysis
Trade Analysis Engine
Trade Calculator
DR
DraftResearch.com
Every NHL trade scored by a model built on career production data, draft pick returns, and projected career value. Many trade factors cannot be computed.
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DraftResearch.com: A Sports Performance Analysis Company
Historical Trades
Trade Calculator Methodology
Every asset on the table - player or pick - is scored by a multi-layer engine and then summed into a side-by-side verdict. The model reads career production, age, contract structure, and pick equity from the same data spine the rest of the site is built on. Production-based factors can be measured; many trade factors cannot - see the closing note.
Players CarProd + tier adjustment
How are players valued?
Each player's value is anchored to their CarProd (Career Production) score - an era-adjusted, position-normalised measure of sustained NHL output. The score is shaped by remaining career runway (age), tier (Elite / Top Line / Top Pair etc.), and games still under contract.
Answers: How much real production is this player worth right now?
Picks Historical yield distributions
How are draft picks valued?
Pick equity comes from 62 draft classes of actual outcomes - for each slot, what fraction of players reached the NHL and at what tier. A 1st-round pick is the expected value of the historical distribution at that slot, not a flat industry chart.
Answers: What does this pick typically return?
Dual Lens At-Time vs Retrospective
Two scores per historical trade - by design.
At-Time uses only what teams knew on the trade date - production-to-date, age, contract status. Retrospective uses the career-final state - who actually delivered.
Answers: Was it a smart bet, and did it pay off?
Era Adjustment Cross-class normalisation
Why does a 1990s pick score differently than a 2015 pick?
League size, scoring environment, and draft depth shift over time. Pick equity and CarProd tiers are normalised to the era they sit in, so a 1992 1st rounder and a 2018 1st rounder are compared on equivalent footing.
Answers: Era-fair, not nominal.
What the model cannot see: locker-room fit, roster need, organisational direction, NMC / NTC use, salary retention, coach-player chemistry. These are real trade drivers - the score is a baseline of measurable production value, not the full picture.