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2026 Midterms · Race Center

The House battlegrounds that decide the majority

District-level odds from Kalshi, Polymarket and PredictIt for the most competitive House seats, with the Precision Combined forecast for each.

For the national picture, see Control of Congress. District polls are rare and not yet in our feed, so House forecasts here use the three markets.

¢ = last trade price (1¢ ≈ 1% chance)% = Polymarket implied probability▲▼ = change since previous dayRCP links out; its averages aren’t licensed for republishing

Data as of Oct 13, 6:02 AM ET · refreshes about every 30 minutes · tap any race for the full comparison

How the Precision Funnel™ builds the Precision Combined number

Everything available on a race goes into the top of the funnel. No source has a fixed percentage: each one’s weight comes from how much evidence it carries for this race, by the published rule on the right.

  1. Public polls. Every public poll of the race, national, state or local, is vetted before it counts: how many people it reached, how recent it is, whether it screened for likely voters, and whether a party or campaign paid for it. Campaign internal polls are left out.
  2. Prediction markets, priced by money at risk. For each market we add up the dollars traded (contracts times price). A market with under $10k traded, a spread wider than 10¢, or a 15-point jump on under $25k is left out, because one buyer can set that price.
  3. Local and regional sources. Newspaper, radio and university polls get the same vetting as step 1. Today they arrive through the public poll feed; we are adding the local sources national feeds miss. In races national pollsters skip, such as state cabinet offices, they may be most of what exists.
  4. Attention and momentum. News volume and tone (GDELT) and Wikipedia pageviews for the two leading candidates, this week against the three weeks before. Attention is not votes, so it counts only through a gate: two independent sources with enough volume, all moving the same way. Then it carries 5% to 15% of the number; otherwise 0%, shown beside the number. Search interest and social platforms join as they are wired.
  5. our own member poll. Our panel, weighted to the voter file on party, age, sex, education, income and region. It starts with the same trust as outside polls and earns more only through a scored track record.Not live yet
  6. The number. Market prices are scaled to add to 100%, a poll lead becomes a win chance with a bell curve 6 points wide, and the sources are averaged with their weights. Every race page prints the weights it got and why.

Full methodology →Why blend? Read the research →How we’ll be scored →

The weighting rule

Weight = trust × evidence, then scaled so the sources used add to 100%.

SourceTrustEvidence
Kalshi, Polymarket1Dollars traded ÷ (dollars traded + $50k). $50k counts half, $1M about 95%.
PredictIt½Fixed at ½, since PredictIt publishes no volume and caps each contract at $850.
Public polls1Grows with each vetted poll: full credit at 600 respondents, half credit every 21 days of age, less for registered voters or all adults, half for a partisan sponsor.
Precision member poll1Effective sample ÷ 800 (max 1) × share of demographic groups that match the voter file. Left out under 200 respondents.

So a Senate race with deep markets and many polls lands near an even split, while a race no market lists and only one local paper polled leans almost entirely on the polls that exist. The constants above are the same for every race; changing one is a new method version, dated and logged. Trust values will be refit on our own scored history and the change published. RealClearPolitics is linked for comparison but not used: RCP has no public data feed and its terms don’t allow republishing its averages. Market prices reflect traders’ money, not a poll of voters. PredictIt data is shown under its non-commercial license. The Funnel never uses a number we did not measure or a source we cannot name.

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