Current UCUI
68/100
Moderate-High Uncertainty
+4 points from prior reading
Potato Market Intelligence
Potato Forecast Error Analysis
Potato forecast error analysis measures how prior forecasts differed from later observed outcomes by horizon, region, variable, and market regime. MassGain preserves vintages and decomposes bias, absolute error, directional misses, and scenario failures so models can improve without rewriting the historical record.
Market Data
How to read this market
Potato forecast-error-analysis data compares issued forecasts with later observed prices, production, demand, stocks, or other outcomes using the exact information vintage available at forecast time. The market object is forecast error by model, region, product, horizon, and market regime.
Use the data to measure magnitude, bias, directional accuracy, interval coverage, and performance against simple benchmarks, then attribute misses to model assumptions, data revisions, crop shocks, demand changes, or structural shifts. Connect error with the commercial cost of over- or under-coverage.
Data Module
Potato Forecast Error Analysis
Market objectforecast-versus-outcome record
Primary measuresmagnitude, bias, direction, coverage
Key dimensionsmodel, horizon, region, regime
Commercial useforecast and decision improvement
Attributiondata, assumption, shock, structure
Compare withbenchmark models and commercial impact
Analysis
Why this matters
Forecast error is not always evidence of a bad model; some misses come from genuinely unforeseeable shocks. Conversely, a lucky point forecast can hide weak uncertainty framing or systematic bias.
Commercial interpretation should separate model weakness from new information and measure the cost of the miss. The useful question is whether the forecast improved decisions relative to a simpler alternative, not whether it was exact.
Signal 01
Usable Crop Uncertainty Index
UCUI translates crop and market complexity into a simple uncertainty signal. Higher readings indicate greater uncertainty—not necessarily higher prices.
Understand uncertainty. Anticipate risk. Act earlier.
UCUI is designed to analyze potato-industry publications and data signals across regions, varieties, weather, disease, storage, supply, and demand.
WeatherHigh
DiseaseHigh
StorageMedium
SupplyMedium
Single-day snapshot based on a scan of 11,500+ web and social signals. Get historical and real-time data by clicking the button below.
The MassGain Daily
Today’s market analysis.
A daily editorial synthesis of physical potato data, crop signals, market reporting, and what participants should watch next.
September 16, 2026Latest MassGain publication
Potato market steady for now; Russia’s smaller crop is the salient risk
Spot prices are flat and USDA terminal reports read ‘market steady,’ but a renewed forecast for a smaller Russian harvest and recent regional harvest stress leave seasonal import timing and storage losses as the key uncertainty.
Signal 02
MassGain Potato Index
Independent physical-pricing intelligence and market-trend analysis for procurement, forecasting, contracting, and scenario planning.
Core Russet Carton Median
312.45 USD/MT
Latest qualifying physical-market observation
+4.75 (+1.55%)
Price discovery for the physical potato market
MPI is designed to track physical pricing data, price trends, deltas, and divergences across regions and potato types.
Series window45 days
Current public coverageCore russet cartons
Primary source basisQualifying USDA physical rows
UnitUSD per metric tonne
Single-day snapshot based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varieties by clicking the button below.
Signal 03
MassGain Spot Reference
An independent spot reference designed for price discovery, contract discussions, procurement comparisons, and risk modeling.
Russet Burbank — U.S. Midsize
305 USD/MT
Demonstration reference format
+1.6% WoW · Confidence: High
A trusted benchmark for pricing, contracts, and risk
MSR is intended to use real transactions and verifiable physical-market data to support negotiations, price checks, contracting, and risk models.
ProductRusset Burbank
SpecificationU.S. midsize, 40–70 count
Reference typePhysical spot benchmark
StatusIn development
Based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varities by clicking the button below. Full access also includes historical data -- including depreciated NYMEX/CBOE/EEX spot references -- projections, trends, and AI-driven insights.
The MassGain Product Ladder
From insight to intelligence to action
Four integrated products built for the physical potato market, delivered through public pages, reports, exports, dashboards, and API access.
1
Content
Original research, commentary, aggregated news, and market updates.
- What matters right now?
- What is happening out there?
2
UCUI™
Usable Crop Uncertainty Index: an AI-powered signal of crop risk and market uncertainty.
- Understand uncertainty
- Anticipate risk
- Act earlier
3
MPI™
MassGain Potato Index: independent physical-pricing intelligence and trend analysis.
- Price discovery
- Regional trends
- Procurement planning
4
MSR™
MassGain Spot Reference: an independent benchmark for price discovery and risk modeling.
- Contracts
- Negotiations
- Risk models
Content + UCUI + MPI + MSR + API access
Get historical series, regional detail, constituent data, exports, alerts, and direct data access.
Overview
Who is this for?
This page is for analysts, procurement teams, and finance leaders that need to understand why potato forecasts were wrong and whether the error was avoidable. MassGain decomposes forecast error by horizon, region, product, model, and forecast vintage and connects the miss with crop, storage, demand, trade, freight, quality, and data revisions.
The suite can measure absolute error, percentage error, bias, directional accuracy, interval coverage, and performance relative to simple benchmarks. Analysts can distinguish a poor model from an unforeseeable event, identify persistent over- or underforecasting, and see whether one region or season drives most error. Procurement can evaluate whether forecast misses led to excess coverage, emergency purchases, or missed savings. Finance can improve budget ranges and scenario design.
MassGain does not use hindsight to pretend revised information was available earlier. It preserves the exact input vintage and forecast delivered at each date, then attributes later error to assumptions, data gaps, structural change, or execution. This creates a learning loop rather than a scorekeeping exercise. Teams can retire weak models, adjust weights, improve data collection, and distinguish useful forecasts that framed uncertainty well from precise forecasts that happened to be lucky.
Use Case
A late-season price forecast misses high by 15%. MassGain shows the model correctly anticipated tight stocks but underestimated imports and used an outdated processing-demand assumption. The team improves trade monitoring and removes the systematic demand bias before the next crop year.
FAQs
Which forecast errors should be measured?
Magnitude, bias, direction, interval coverage, and performance versus a simple benchmark should be measured.
Why preserve forecast vintages?
They ensure evaluation uses only information actually available when the forecast was issued.
How does error analysis improve decisions?
It identifies recurring weaknesses, missing data, unstable assumptions, and the commercial cost of misses.
Put this market intelligence to work
Get historical data, regional detail, benchmarks, alerts, exports, and API access tailored to your procurement
and market-analysis needs.
Data and Methodology
Professional market-data standards
MassGain is building transparent public market infrastructure. Each live metric will identify its date, unit, coverage, methodology, and source basis.
Data provenance
MassGain uses public, licensed, contributed, and independently derived physical-market information. Source availability and publication schedules vary.
Timing and revisions
Figures may reflect the latest available observation rather than a same-day transaction. Source data and MassGain calculations may be corrected, restated, or revised.
Not transactional pricing
MassGain figures are informational reference values and do not constitute executable bids, offers, settlements, or guarantees that a transaction can occur at the displayed value.
No individualized advice
Content and data are provided for informational and analytical purposes and do not constitute financial, investment, legal, trading, or individualized procurement advice.
Independent publication
Certain observations may be derived from USDA reports. MassGain is independent and is not affiliated with or endorsed by the USDA.
Commercial use and licensing
Public display does not grant rights to reproduce, redistribute, republish, or incorporate MassGain indices or references into commercial products or contracts without authorization.