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Forecast7 days out

Democrats are heavily favored in the House.

85in 100 Democratic

Forecast as of October 26, 2026: Democrats have an 85 in 100 chance to control the House, Republicans 15 in 100. Current race-by-race calls: D 230 - R 205.

House control and seat distribution

Expected D seats
235.6
Expected R seats
199.4
Current House
D 215 · R 219 · I 1
Change
D+21
200220240260280current 215median 234218 wins controlDemocratic seats
Lower 10% tailMiddle 80% · 214–259 DUpper 10% tail
D 234 · R 201The median outcome — 2.3% of simulations land exactly here: Democratic control, with Democrats +19 and Republicans −18 from today's House.51.6% land here or better for Democrats — 48.4% land worse.
From today’s House Today · Selected

100,000 joint simulations · each outcome totals 435 seats.

How the forecast has changed

Oct 26 · latestDemocrats 85 in 100Republicans 15 in 100seats 235.6 D to 199.4 R

D 90D 80D 70D 60EvenR 60Aug 1SepOctNov. 3 · Election DayD 85235.6 seats

Reconstructed with the current model Aug 1 – Oct 5; published readings Oct 6 – Oct 26.

Current 80% range · D 214–259 · R 176–221.

Data table
DateD controlR controlD seatsR seatsReading
Oct 2685 in 10015 in 100235.6199.4Published forecast
Oct 2585 in 10015 in 100236.0199.0Published forecast
Oct 2485 in 10015 in 100235.8199.2Published forecast
Oct 2386 in 10014 in 100235.8199.2Published forecast
Oct 2285 in 10015 in 100235.2199.8Published forecast
Oct 2182 in 10018 in 100233.7201.3Published forecast
Oct 2082 in 10018 in 100233.2201.8Published forecast
Oct 1982 in 10018 in 100233.2201.8Published forecast
Oct 1882 in 10018 in 100233.2201.8Published forecast
Oct 1782 in 10018 in 100233.2201.8Published forecast
Oct 1682 in 10018 in 100233.0202.0Published forecast
Oct 1582 in 10018 in 100233.0202.0Published forecast
Oct 1481 in 10019 in 100232.8202.2Published forecast
Oct 1381 in 10019 in 100232.8202.2Published forecast
Oct 1281 in 10019 in 100232.5202.5Published forecast
Oct 1181 in 10019 in 100232.5202.5Published forecast
Oct 1081 in 10019 in 100232.5202.5Published forecast
Oct 981 in 10019 in 100232.5202.5Published forecast
Oct 880 in 10020 in 100232.0203.0Published forecast
Oct 780 in 10020 in 100231.9203.1Published forecast
Oct 679 in 10021 in 100231.7203.3Published forecast
Oct 580 in 10020 in 100232.1202.9Reconstructed with the current model
Oct 480 in 10020 in 100232.2202.8Reconstructed with the current model
Oct 380 in 10020 in 100232.2202.8Reconstructed with the current model
Oct 280 in 10020 in 100232.1202.9Reconstructed with the current model
Oct 180 in 10020 in 100232.1202.9Reconstructed with the current model
Sep 3080 in 10020 in 100231.8203.2Reconstructed with the current model
Sep 2980 in 10020 in 100231.9203.1Reconstructed with the current model
Sep 2880 in 10020 in 100231.8203.2Reconstructed with the current model
Sep 2780 in 10020 in 100231.6203.4Reconstructed with the current model
Sep 2680 in 10020 in 100231.6203.4Reconstructed with the current model
Sep 2580 in 10020 in 100231.6203.4Reconstructed with the current model
Sep 2479 in 10021 in 100231.4203.6Reconstructed with the current model
Sep 2379 in 10021 in 100231.0204.0Reconstructed with the current model
Sep 2279 in 10021 in 100231.1203.9Reconstructed with the current model
Sep 2179 in 10021 in 100231.0204.0Reconstructed with the current model
Sep 2079 in 10021 in 100231.0204.0Reconstructed with the current model
Sep 1979 in 10021 in 100231.0204.0Reconstructed with the current model
Sep 1879 in 10021 in 100230.9204.1Computed after the fact; no edition was issued that day
Sep 1779 in 10021 in 100230.9204.1Computed after the fact; no edition was issued that day
Sep 1676 in 10024 in 100230.9204.1Computed after the fact; no edition was issued that day
Sep 1576 in 10024 in 100230.4204.6Reconstructed with the current model
Sep 1475 in 10025 in 100230.4204.6Reconstructed with the current model
Sep 1375 in 10025 in 100230.2204.8Reconstructed with the current model
Sep 1275 in 10025 in 100230.1204.9Reconstructed with the current model
Sep 1175 in 10025 in 100230.0205.0Reconstructed with the current model
Sep 1075 in 10025 in 100229.8205.2Reconstructed with the current model
Sep 974 in 10026 in 100229.6205.4Reconstructed with the current model
Sep 874 in 10026 in 100229.6205.4Reconstructed with the current model
Sep 774 in 10026 in 100229.6205.4Reconstructed with the current model
Sep 674 in 10026 in 100229.3205.7Reconstructed with the current model
Sep 575 in 10025 in 100229.6205.4Reconstructed with the current model
Sep 472 in 10028 in 100228.5206.5Reconstructed with the current model
Sep 372 in 10028 in 100228.2206.8Reconstructed with the current model
Sep 270 in 10030 in 100227.2207.8Reconstructed with the current model
Sep 170 in 10030 in 100227.2207.8Reconstructed with the current model
Aug 3170 in 10030 in 100227.3207.7Reconstructed with the current model
Aug 3070 in 10030 in 100227.2207.8Reconstructed with the current model
Aug 2970 in 10030 in 100227.3207.7Reconstructed with the current model
Aug 2870 in 10030 in 100227.3207.7Reconstructed with the current model
Aug 2770 in 10030 in 100227.3207.7Reconstructed with the current model
Aug 2670 in 10030 in 100227.2207.8Reconstructed with the current model
Aug 2566 in 10034 in 100226.2208.8Reconstructed with the current model
Aug 2466 in 10034 in 100226.2208.8Reconstructed with the current model
Aug 2366 in 10034 in 100226.2208.8Reconstructed with the current model
Aug 2267 in 10033 in 100226.5208.5Reconstructed with the current model
Aug 2165 in 10035 in 100225.8209.2Reconstructed with the current model
Aug 2066 in 10034 in 100225.9209.1Reconstructed with the current model
Aug 1965 in 10035 in 100225.8209.2Reconstructed with the current model
Aug 1865 in 10035 in 100225.7209.3Reconstructed with the current model
Aug 1764 in 10036 in 100225.4209.6Reconstructed with the current model
Aug 1664 in 10036 in 100225.4209.6Reconstructed with the current model
Aug 1564 in 10036 in 100225.5209.5Reconstructed with the current model
Aug 1464 in 10036 in 100225.3209.7Reconstructed with the current model
Aug 1364 in 10036 in 100224.9210.1Reconstructed with the current model
Aug 1263 in 10037 in 100224.6210.4Reconstructed with the current model
Aug 1162 in 10038 in 100224.6210.4Reconstructed with the current model
Aug 1063 in 10037 in 100224.6210.4Reconstructed with the current model
Aug 961 in 10039 in 100224.2210.8Reconstructed with the current model
Aug 861 in 10039 in 100224.2210.8Reconstructed with the current model
Aug 761 in 10039 in 100224.2210.8Reconstructed with the current model
Aug 661 in 10039 in 100223.9211.1Reconstructed with the current model
Aug 561 in 10039 in 100223.9211.1Reconstructed with the current model
Aug 461 in 10039 in 100223.6211.4Reconstructed with the current model
Aug 362 in 10038 in 100223.9211.1Reconstructed with the current model
Aug 262 in 10038 in 100223.8211.2Reconstructed with the current model
Aug 162 in 10038 in 100223.9211.1Reconstructed with the current model

Each reconstructed day is the current model on that day’s own inputs, not a forecast published then. Corrections are dated in the changelog.

All 435 districts

435 districts, one person covering them. At 435 to 1, that would be a safe seat anywhere. Get what moved by emailSupport the work

The Flippers

30 House seats are projected to change hands. Not counted: 6 toss-ups, MT-01, IA-02, NY-17, VA-01, FL-25 and TX-35, whose slight favorites would also change the party. Hover or tap for the forecast.

The districts · closest first

See every competitive district on The Map →

Which races decide control

Win it or lose it. The Democrats’ chance of the House on the nights they win each district, and on the nights they lose it.

  1. PA-07Brooks (D) 79 in 100Brooks (D) wins PA-07 in 78,767 of the 100,000 simulations; in those, Democrats win the House 93 times in 100. In the other 21,233, 53 times in 100.
  2. TX-15Pulido (D) 74 in 100Pulido (D) wins TX-15 in 74,276 of the 100,000 simulations; in those, Democrats win the House 95 times in 100. In the other 25,724, 55 times in 100.
  3. OH-07Poindexter (D) 77 in 100Poindexter (D) wins OH-07 in 77,149 of the 100,000 simulations; in those, Democrats win the House 94 times in 100. In the other 22,851, 54 times in 100.
  4. MI-07Lawrence (D) 75 in 100Lawrence (D) wins MI-07 in 74,720 of the 100,000 simulations; in those, Democrats win the House 94 times in 100. In the other 25,280, 56 times in 100.
  5. PA-08Cognetti (D) 70 in 100Cognetti (D) wins PA-08 in 69,800 of the 100,000 simulations; in those, Democrats win the House 95 times in 100. In the other 30,200, 59 times in 100.
  6. VA-02Luria (D) 68 in 100Luria (D) wins VA-02 in 67,875 of the 100,000 simulations; in those, Democrats win the House 96 times in 100. In the other 32,125, 61 times in 100.
  7. CO-08Rutinel (D) 70 in 100Rutinel (D) wins CO-08 in 70,013 of the 100,000 simulations; in those, Democrats win the House 95 times in 100. In the other 29,987, 61 times in 100.
  8. CA-22Villegas (D) 71 in 100Villegas (D) wins CA-22 in 71,250 of the 100,000 simulations; in those, Democrats win the House 94 times in 100. In the other 28,750, 60 times in 100.
  9. PA-10Stelson (D) 63 in 100Stelson (D) wins PA-10 in 62,763 of the 100,000 simulations; in those, Democrats win the House 97 times in 100. In the other 37,237, 64 times in 100.
  10. AZ-06Mendoza (D) 65 in 100Mendoza (D) wins AZ-06 in 64,756 of the 100,000 simulations; in those, Democrats win the House 95 times in 100. In the other 35,244, 64 times in 100.
  11. WA-03Perez (D) 61 in 100Perez (D) wins WA-03 in 60,546 of the 100,000 simulations; in those, Democrats win the House 97 times in 100. In the other 39,454, 66 times in 100.
  12. KY-06Dembo (D) 57 in 100Dembo (D) wins KY-06 in 57,448 of the 100,000 simulations; in those, Democrats win the House 96 times in 100. In the other 42,552, 69 times in 100.

Races move together: a night Democrats carry one of these is usually a good night for them everywhere. A row's gap mostly shows what kind of night it is, not what that one seat is worth.

Each figure is a count over the same 100,000 simulations as the House figure at the top of the page. The smallest group behind any figure here is 21,233 simulations. 12 of the 435 districts are listed: the ones most often the deciding seat, among the 86 that each side wins in at least 5,000 simulations. The other 349 are too one-sided to split this way.

The chance beside each name is that race's own forecast, as its page prints it. The simulations are drawn for the whole chamber at once, and each race listed here is won in them within a tenth of a point of that chance: PA-07 is won in 78,767 of 100,000, against 79 in 100.

Pick the winners yourself in the Scenario Machine

What if the national environment moved?

Explore Senate and House scenarios

Where we disagree with the markets

Democratic win chance · forecast vs. Polymarket. Markets never feed the forecast. Quotes: Oct 26, 2026.

Race
IA-0344 in 10085 in 10041 pts more Democratic in market
MI-1029 in 10067 in 10038 pts more Democratic in market
OH-0940 in 10077 in 10037 pts more Democratic in market
WA-0361 in 10090 in 10029 pts more Democratic in market
FL-2550 in 10077 in 10027 pts more Democratic in market

Biggest movessince Oct 25, 8:58 PM ET

  1. TX-28-3.9D+6.7
  2. MI-10-2.7R+3.1
  3. KS-02-1.8R+7.5
  4. SD-AL+1.7R+21.6
  5. TX-09-1.2R+5.9
  6. NC-01-1.1D+4.8
  7. PA-01-0.8R+2.2
  8. TX-34-0.8D+4.2
  9. MI-04-0.7R+2.3
  10. PA-08-0.6D+2.6

← Toward Republicans±5 pointsToward Democrats →

16 of 435 House races moved at least 0.2 points · 10 shown · 11 not compared on this board