2026 Midterms
Sealed October 28, 2026 · v2.1
Who wins Congress, race by race.
Democrats have a 95% chance of winning the House and 68% of the Senate. We simulated voters in every state, combined their answers with the polls, and ran the election 20,000 times. Polls collected through October 27, 2026.
Control of Congress
20,000 simulated elections
Both chances rose since the October 23 version: the Senate from 49.8% as published on October 23 (44.2% after the October 24 Alaska poll correction), the House from 54.6%. See what changed and why
Democrats have a 68% chance of controlling the Senate.
Chance of control, from 20,000 simulated elections: Democrats 68%, Republicans 28%, neither party alone 4% (an independent decides). The seat counts below are median results, a separate measure from the chance of control.
Democrats need 51 seats. Republicans need 50, because the Vice President breaks ties.
35 of 35 races forecast · 65 seats not on the ballot · median result shown at each end
- Safe D 10
- Likely D 3
- Lean D 4
- Toss-up 3
- Lean R 2
- Likely R 3
- Safe R 10
Democratic seats across 20,000 simulated elections
Median 52 · most likely 52 · 80% of results fall between 49 and 54
The map
35 races · 15 states with no Senate race
The Senate map
- Safe D
- Likely D
- Lean D (striped)
- Toss-up
- Lean R (striped)
- Likely R
- Safe R
- No race this year (dotted)
The timeline changes the overview and this map. Everything below the map is the final version, v2.1.
Ratings
Safe, likely, lean, toss-up
Senate ratings
Lean Democratic
Total 4
Toss-up
Total 3 · DEM 0 · REP 3
Lean Republican
Total 2
Key races
8 closest statewide races
Key races, and which voter groups back each candidate.
How each simulated voter group would vote, and the issues it ranks highest.
Alaska Senate: Dan S. Sullivan vs. Mary Peltola
Dan S. Sullivan wins in 50% of simulated elections · first-choice vote share 45.3% to 48.7%. Ranked choice: if no one wins a majority of first choices, later choices are counted, so the first-choice leader can lose.
Party
Gender
Age
These are our simulated voter groups alone, before the polls are combined in, so they can lean differently from the forecast.
Top issues for simulated Alaska voters
Strongest groups for Sullivan
Strongest groups for Peltola
Closest races
Projected margin under each bar
Closest Senate races
- AlaskaD Mary PeltolaR Dan S. Sullivan50%First-choice margin D +3.450%Sullivan ▼15
- IowaD Josh TurekR Ashley Hinson47%Projected margin R +0.453%Hinson ▼8
- KansasD Adam HamiltonR Roger Marshall43%Projected margin R +1.257%Marshall ▼4
- MaineD Troy D. JacksonR Susan M. Collins64%First-choice margin D +2.236%Jackson ▲12
- TexasD James TalaricoR Ken Paxton65%Projected margin D +2.235%Talarico ▲14
- NebraskaR Pete RickettsI Dan Osborn67%Projected margin R +2.733%—
- South CarolinaD Annie AndrewsR Darline Graham33%Projected margin R +2.967%Graham ▼11
- OhioD Sherrod BrownR Jon Husted73%Projected margin D +3.927%Brown ▲13
- MichiganD Abdul El-SayedR Mike Rogers77%Projected margin D +4.623%El-Sayed ▲16
- FloridaD Angie NixonR Ashley Moody16%Projected margin R +6.384%—
National outcomes
House and Senate counted in the same 20,000 elections
Democrats win both chambers in about 2 in 3 simulated elections.
- Democrats sweep67.6%13,513 of 20,000 elections
- Democratic House, Republican Senate23.6%4,711 of 20,000 elections
- Republicans sweep4.1%812 of 20,000 elections
- Republican House, Democratic Senate0.4%72 of 20,000 elections
- No clear majority in one chamber4.5%892 of 20,000 elections
All 20,000 simulated elections, by who controls what
Each square is 50 simulated elections.
Who wins the House
Neither party has 218 in 82 elections
Who wins the Senate
Independents decide the other 811
How many Senate seats will Democrats hold?
Including the 34 seats not up
How many House seats will Democrats win?
Of 435 seats
What if the polls are off?
The same 20,000 elections, rerun under each assumption. Only the first line is the forecast. If every poll overstates Democrats by 3 points, Democrats still win the House in 91% of those elections. The last line is simulated voters alone, with no 2026 polls, shown for comparison only.
| Assumption | Senate (D) | House (D) |
|---|---|---|
| The forecast: simulated voters combined with the polls | 68% | 95% |
| Polls overstate Democrats by 2 points | 51% | 93% |
| Polls overstate Democrats by 3 points | 42% | 91% |
| Simulated voters alone (no 2026 polls), for comparison, never part of the forecast | 28% | 76% |
Since October 23
v2.0 to v2.1
Rating changes since the last version.
21 favorites changed and 241 ratings moved between the October 23 forecast (v2.0, with the October 24 Alaska poll correction) and the final one (v2.1), across all 646 contests.
Correcting a Republican tilt
The simulation favored Republicans more than the polls did: by 8.4 points in Senate races, 7.1 in House races and 5.9 in governor races. We now correct for that gap. Races without polls moved most.
Narrower range of outcomes
The forecast's uncertainty is now calibrated on races from 1998 to 2024 and tested on 506 races from 2018 to 2024. Democrats win 49 to 54 Senate seats in 8 of 10 simulations, against 44 to 55 before, so a small lead now gives a higher chance of winning.
Newer polls
Polls collected through October 27. Our first forecast, of October 15, had the same favorite as this one in 49 of the 56 races both cover.
Likely D → Safe D
Lean D → Likely D
Lean R → Toss-up
Toss-up → Lean D
Likely R → Safe R
Lean R → Likely D
Lean R → Lean D
Where the favorite changed
- Arizona District 2Now Jonathan Nez, 53% · Toss-upWas Eli Crane at 56% · Toss-up
- California District 34Now Angela Gonzales-Torres, 54% · Toss-upWas Jimmy Gomez at 89% · Likely D
- California: Proposition 45Now No, 53% · Toss-upWas Yes at 65% · Lean Yes
- Colorado District 8Now Manny Rutinel, 66% · Lean DWas Gabe Evans at 57% · Toss-up
- Colorado: Proposition 135Now No, 55% · Toss-upWas Yes at 51% · Toss-up
- Iowa GovernorNow Rob Sand, 84% · Likely DWas Zach Lahn at 64% · Lean R
- Iowa District 2Now Lindsay James, 53% · Toss-upWas Joe Mitchell at 55% · Toss-up
- Iowa District 3Now Sarah Trone Garriott, 73% · Lean DWas Zach Nunn at 58% · Toss-up
- Idaho: HJR 4Now No, 52% · Toss-upWas Yes at 50% · Toss-up
- Kentucky District 6Now Ralph A. Alvarado, 75% · Lean RWas Zach Dembo at 52% · Toss-up
- Massachusetts: Question 3Now No, 68% · Lean NoWas Yes at 75% · Lean Yes
- Michigan: Proposal 26-1Now No, 84% · Likely NoWas Yes at 88% · Likely Yes
- Missouri District 2Now Fred Wellman, 56% · Toss-upWas Ann Wagner at 53% · Toss-up
- Missouri: Proposition ANow No, 55% · Toss-upWas Yes at 68% · Lean Yes
- Nevada GovernorNow Aaron D. Ford, 56% · Toss-upWas Joseph Lombardo at 58% · Toss-up
- New York District 1Now Christopher J. Gallant, 53% · Toss-upWas Nicholas J. LaLota at 78% · Lean R
- New York District 17Now Caitlin Conley, 61% · Lean DWas Michael Lawler at 51% · Toss-up
- Ohio GovernorNow Amy Acton, 64% · Lean DWas Vivek Ramaswamy at 79% · Lean R
- Ohio District 7Now Max Miller, 59% · Toss-upWas Brian Poindexter at 74% · Lean D
- Texas District 32Now Jace Yarbrough, 65% · Lean RWas Dan F. Barrios Jr. at 50% · Toss-up
- Virginia District 1Now Shannon Leigh Taylor, 52% · Toss-upWas Robert J. "Rob" Wittman at 54% · Toss-up
All races
Closest first · 35 shown
Every Senate race
State by state
50 states
State by state
- AlabamaSenateR >99% · Safe RGovernorR 98% · Safe RHouse1 D · 6 RMeasures3 pass · 1 fail
- AlaskaSenateR 50% · Toss-upGovernorD 88% · Likely DHouse0 D · 1 RMeasures1 pass · 1 fail
- ArizonaGovernorD 90% · Likely DHouse6 D · 3 RMeasures8 pass · 0 fail
- ArkansasSenateR 98% · Safe RGovernorR >99% · Safe RHouse0 D · 4 RMeasures3 pass · 0 fail · 1 close
- CaliforniaGovernorD >99% · Safe DHouse48 D · 4 RMeasures5 pass · 5 fail · 4 close
- ColoradoSenateD 99% · Safe DGovernorD 97% · Safe DHouse5 D · 3 RMeasures9 pass · 1 fail · 4 close
- ConnecticutGovernorD >99% · Safe DHouse5 D · 0 R
- DelawareSenateD >99% · Safe DHouse1 D · 0 R
- FloridaSenateR 84% · Likely RGovernorR 80% · Lean RHouse5 D · 22 RMeasures3 pass · 0 fail
- GeorgiaSenateD 94% · Likely DGovernorR 53% · Toss-upHouse5 D · 9 RMeasures3 pass · 0 fail
- HawaiiGovernorD >99% · Safe DHouse2 D · 0 RMeasures1 pass · 0 fail · 1 close
- IdahoSenateR >99% · Safe RGovernorR >99% · Safe RHouse0 D · 2 RMeasures2 pass · 1 fail · 1 close
- IllinoisSenateD 99% · Safe DGovernorD 99% · Safe DHouse14 D · 3 R
- IndianaHouse2 D · 7 RMeasures2 pass · 0 fail
- IowaSenateR 53% · Toss-upGovernorD 84% · Likely DHouse3 D · 1 RMeasures1 pass · 0 fail
- KansasSenateR 57% · Toss-upGovernorR 74% · Lean RHouse1 D · 3 RMeasures1 pass · 0 fail
- KentuckySenateR 98% · Safe RHouse1 D · 5 RMeasures1 pass · 0 fail
- LouisianaSenateR 92% · Likely RHouse1 D · 5 RMeasures9 pass · 0 fail · 1 close
- MaineSenateD 64% · Lean DGovernorD 95% · Likely DHouse2 D · 0 R
- MarylandGovernorD >99% · Safe DHouse7 D · 1 RMeasures2 pass · 0 fail · 1 close
- MassachusettsSenateD >99% · Safe DGovernorD >99% · Safe DHouse6 D · 0 RMeasures6 pass · 2 fail · 1 close
- MichiganSenateD 77% · Lean DGovernorD 90% · Likely DHouse7 D · 6 RMeasures1 pass · 1 fail
- MinnesotaSenateD 88% · Likely DGovernorD 94% · Likely DHouse4 D · 4 RMeasures1 pass · 0 fail
- MississippiSenateR 97% · Safe RHouse1 D · 3 R
- MissouriHouse3 D · 5 RMeasures3 pass · 1 fail · 1 close
- MontanaSenateR 91% · Likely RHouse1 D · 1 RMeasures3 pass · 0 fail
- NebraskaSenateR 67% · Lean RGovernorR 80% · Likely RHouse1 D · 2 RMeasures1 pass · 1 fail · 2 close
- NevadaGovernorD 56% · Toss-upHouse3 D · 1 RMeasures2 pass · 0 fail
- New HampshireSenateD 90% · Likely DGovernorR 87% · Likely RHouse2 D · 0 RMeasures0 pass · 0 fail · 1 close
- New JerseySenateD 98% · Safe DHouse10 D · 2 R
- New MexicoSenateD >99% · Safe DGovernorD 90% · Likely DHouse3 D · 0 RMeasures7 pass · 0 fail
- New YorkGovernorD 97% · Safe DHouse21 D · 5 R
- North CarolinaSenateD 96% · Safe DHouse5 D · 9 RMeasures3 pass · 0 fail
- North DakotaHouse0 D · 1 RMeasures0 pass · 2 fail
- OhioSenateD 73% · Lean DGovernorD 64% · Lean DHouse5 D · 10 RMeasures1 pass · 0 fail
- OklahomaSenateR >99% · Safe RGovernorR 90% · Likely RHouse0 D · 5 RMeasures1 pass · 0 fail · 1 close
- OregonSenateD 99% · Safe DGovernorD 75% · Lean DHouse5 D · 1 R
- PennsylvaniaGovernorD >99% · Safe DHouse10 D · 7 R
- Rhode IslandSenateD >99% · Safe DGovernorD 93% · Likely DHouse2 D · 0 RMeasures5 pass · 0 fail
- South CarolinaSenateR 67% · Lean RGovernorR 96% · Safe RHouse1 D · 6 R
- South DakotaSenateR >99% · Safe RGovernorR >99% · Safe RHouse0 D · 1 RMeasures2 pass · 1 fail · 1 close
- TennesseeSenateR >99% · Safe RGovernorR 98% · Safe RHouse0 D · 9 RMeasures3 pass · 0 fail
- TexasSenateD 65% · Lean DGovernorR 70% · Lean RHouse12 D · 26 R
- UtahHouse1 D · 3 RMeasures2 pass · 0 fail
- VermontGovernorR 92% · Likely RHouse1 D · 0 RMeasures2 pass · 0 fail
- VirginiaSenateD >99% · Safe DHouse8 D · 3 RMeasures3 pass · 0 fail
- WashingtonHouse8 D · 2 RMeasures1 pass · 2 fail
- West VirginiaSenateR >99% · Safe RHouse0 D · 2 RMeasures1 pass · 0 fail
- WisconsinGovernorD 71% · Lean DHouse2 D · 5 RMeasures3 pass · 0 fail
- WyomingSenateR >99% · Safe RGovernorR >99% · Safe RHouse0 D · 1 RMeasures1 pass · 0 fail
Every run
October 15 to the final version
Every forecast we made, and the other ways we ran it.
Each version was kept as it was made, with other methods run beside it, so all of them can be scored against the results: the October 15 forecast was sealed that day, and v1.0.0 was frozen with a checksum. The bold line of each version was its forecast. The first two versions covered 56 contests in 17 states (candidate races in 8 states, ballot measures in 15) and did not forecast control of Congress.
| Version | Run | Races | Same favorite as v2.1 | Senate (D) | House (D) |
|---|---|---|---|---|---|
| Oct 15 | Simulation + pollsThe published forecast: simulated voters given past results and the 2026 polls, then combined with the polling average. | 56 | 49 of 56 | — | — |
| Simulation, no pollsSimulated voters given past results only, no 2026 polls. | 56 | 39 of 56 | — | — | |
| Simulation + research briefSimulated voters given past results and a research brief, added once in the week the forecast was sealed. | 56 | 40 of 56 | — | — | |
| Simulation + local community commentsSimulated voters also given comments from each state's local online communities, sealed the same day. | 56 | 49 of 56 | — | — | |
| Gemini aloneThe underlying language model, Gemini, prompted directly, without Planetarium's simulated voter groups. | 56 | 41 of 56 | — | — | |
| Polling averagePolling averages alone: published averages where there are any, our own weighted average elsewhere. | 38 | 30 of 38 | — | — | |
| Past resultsThe 2024 result of each state or district; measures 50-50. | 56 | 26 of 56 | — | — | |
| v1.0.0 | Forecast (B where a state had community records, otherwise A)Vote shares only; no win chances were part of this version. | 46 | 34 of 46 | — | — |
| B: facts, past results and community recordsOfficial facts and past results plus up to 12 reviewed community records per state. | 31 | 22 of 31 | — | — | |
| A: facts and past resultsB without the community records. | 46 | 34 of 46 | — | — | |
| R: standard survey simulationPlanetarium's standard survey simulation, run as a reference for vote shares. | 46 | 34 of 46 | — | — | |
| v2.0 | The forecast: simulated voters combined with the pollsThe published forecast. | 646 | 625 of 646 | 44.2% | 54.6% |
| Simulated voter groups + pollsOne of the two simulated estimates, combined with the polls. | 646 | 623 of 646 | 43.8% | 52.9% | |
| Simulated turnout model + pollsThe other simulated estimate, combined with the polls. | 643 | 610 of 643 | 44.4% | 56.0% | |
| Simulated voter groups aloneNo polls. | 646 | 598 of 646 | 12.2% | 33.5% | |
| Simulated turnout model aloneNo polls. | 643 | 588 of 643 | 14.1% | 37.7% | |
| Polls aloneOur own polling average, where a race has polls. | 202 | 180 of 202 | 54.9% | 63.3% | |
| v2.1 | The forecast: simulated voters combined with the pollsThe published forecast. | 646 | 646 of 646 | 68.0% | 95.1% |
| Simulated voter groups + pollsOne of the two simulated estimates, combined with the polls. | 646 | 638 of 646 | 68.4% | 95.0% | |
| Simulated turnout model + pollsThe other simulated estimate, combined with the polls. | 642 | 623 of 642 | 67.6% | 95.3% | |
| Simulated voter groups aloneNo polls. | 646 | 597 of 646 | 6.3% | 26.8% | |
| Simulated turnout model aloneNo polls. | 642 | 587 of 642 | 7.0% | 27.5% | |
| Polls aloneOur own polling average, where a race has polls. | 214 | 192 of 214 | 62.5% | 73.6% | |
| Planetarium aloneSimulated voters given the 2025–26 results and no polls; never part of the forecast. | 646 | 615 of 646 | 28.4% | 75.9% |
Senate and House: the chance Democrats win control, in 20,000 simulated elections. v2.0 is shown with the Alaska poll correction; as published on October 23 its Senate figure was 49.8%. Where a run had no estimate for a seat, the simulation used that seat's past result.
How it works
Sealed before election day
simulated voter groups
In the 45 states with a Senate or governor race, split by party, age, gender, area, education and race. Each group got the same ballot question, naming every candidate and their party. House seats, and the 14 measures in the 5 states with no Senate or governor race, use one simulated group of all voters.
of 646 contests have polls
Where a race has polls, we combine our polling average with the simulation's estimate, once. In races without polls we still correct the simulation's Republican tilt, and the 321 House seats without polls shift together, by 2.69 points, toward the national generic-ballot polls.
simulated elections
Each with each state's own counting rules: ranked choice in Alaska and Maine, runoffs, and supermajority thresholds for measures.
sealed and timestamped
Sealed on October 28, 2026, then scored against the results after November 3, race by race. See our accuracy record
Photo credits
Candidate photos from Wikimedia Commons, cropped and toned; those not listed are public domain, CC0 or released for free use (Iowa General Assembly portraits). Abdul El-Sayed: Conlan Houston, CC BY-SA 4.0; Adam Hamilton: Working Preacher, CC BY 4.0; Amish Shah: Gage Skidmore, CC BY-SA 3.0; Andy Biggs: Gage Skidmore, CC BY-SA 4.0; Ann Wagner: Official House photo, CC BY-SA 4.0; Brad Little: Phil White/Office of the Governor of Idaho, CC BY-SA 4.0; Brandon Herrera: Gage Skidmore, CC BY-SA 4.0; Bruce Blakeman: Arthur Raslich (Nassau County Photo Archives), CC BY-SA 4.0; Casey Askar: Gayonb, CC BY-SA 4.0; Charles Booker: Breadwin, CC BY-SA 4.0; Christine Drazan: Oregon State University, CC BY-SA 2.0; Cindy Holscher: Catboy69, CC BY 4.0; Dan Cox: MDGovpics (Maryland Governor's Office, Flickr), CC BY 2.0; Dan Osborn: Ramseywill, CC BY 4.0; Darren Bailey: Cobiblair, CC BY-SA 4.0; David Brock Smith: Oregon Secretary of State, CC BY 2.0; David Crowley: LaShawnda Jones, CC BY-SA 4.0; Dwayne Romero: Jeffrey Beall, CC BY 4.0; Fredrick Love: Arkansas Farm Bureau, CC BY 3.0; Gary Cordery: ThinkTech Hawaii, CC BY 3.0; Hallie Shoffner: Ark. Agricultural Experiment Station, CC BY-SA 4.0; Hannah M. Pingree: Hannah Pingree for Governor, CC BY 4.0; Helena Foulkes: Digitas Photos, CC BY 2.0; JB Pritzker: Oscar Garza, CC BY-SA 4.0; Jay Feely: Gage Skidmore, CC BY-SA 3.0; Jerri Green: Zach Kinslow, CC BY 4.0; Jim Pillen: Maryland GovPics (Polly Irungu), CC BY 4.0; Jocelyn Benson: JFM Photo 73, CC BY 4.0; John Braun: Troy Kirby, CC BY 4.0; John Deaton: Jeff Dranetz, CC BY 3.0; John James: United States Congress, CC BY-SA 4.0; Jonathan Nez: Wikiuser159597, CC BY-SA 4.0; Jonathan S. JKT Kreiss-Tomkins: James Poulson, CC BY-SA 4.0; Josh Shapiro: Maryland GovPics (Joe Andrucyk et al.), CC BY 2.0; Kathy Hochul: Metropolitan Transportation Authority (Don Pollard/Office of Governor Kathy Hochul), CC BY 4.0; Katie Hobbs: Gage Skidmore, CC BY-SA 4.0; Larry Rhoden: U.S. Embassy Jerusalem, CC BY 2.0; Manny Rutinel: Andybosselman, CC BY-SA 4.0; Michael Charles Echols: Timothy Holdiness, CC BY 4.0; Michael Whatley: Gage Skidmore, CC BY-SA 4.0; Michele Tafoya: Gage Skidmore, CC BY-SA 2.0; Ned Lamont: The Office of Governor Ned Lamont, CC BY-SA 4.0; Paige Gebhardt Cognetti: US Department of Labor, CC BY 2.0; Paul R. LePage: Gage Skidmore, CC BY-SA 3.0; Peggy Flanagan: Travellers & Tinkers, CC BY-SA 4.0; Ralph A. Alvarado: Gage Skidmore, CC BY-SA 3.0; Randy Villegas: Maremoto Fund, CC BY 4.0; Rebecca Cooke: UpNorthNews, CC BY 4.0; Rick Jackson: Cherie Martin, CC BY 4.0; Robert B. Charles: Hoveros, CC BY-SA 4.0; Robert J. "Bob" Harvie Jr.: Governor Tom Wolf (Flickr), CC BY 2.0; Roy Cooper: NetwonsBucket, CC BY-SA 4.0; Ryan Fazio: James Naleski, CC BY-SA 4.0; Sarah Huckabee Sanders: Gage Skidmore, CC BY-SA 4.0; Steve Hilton: Gage Skidmore, CC BY 2.0; Stewart Cathey Jr.: Timothy Holdiness, CC BY 4.0; Todd Achilles: DL a.k.a. LibertyDad, CC BY 4.0; Ty Masterson: NicholasGian25, CC BY-SA 4.0; Victor Marx: Gage Skidmore, CC BY-SA 2.0; Wes Moore: Maryland State Government, CC BY-SA 4.0; Amy Acton: Myselfsour2724, CC BY-SA 4.0; James Talarico: Larry D. Moore, CC BY 4.0; Ken Paxton: Gage Skidmore, CC BY-SA 4.0; Joseph Lombardo: Gage Skidmore, CC BY-SA 3.0; Vivek Ramaswamy: Gage Skidmore, CC BY-SA 4.0.
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