For the complete documentation index, see llms.txt. This page is also available as Markdown.

Forecast Methodology

How DDHQ forecasts the 2026 congressional and gubernatorial elections

DDHQ publishes two probabilistic election forecasts for the 2026 cycle. Both apply the same three-layer blending architecture — structural fundamentals, aggregate public polling, and prediction market prices — adapted to the data available for each office.

Forecast
Races covered

36 governorships on the 2026 ballot

Each page documents its own data sources, model specification, probability estimation, seat-distribution simulation, and limitations.