US 2026 Congress and Senate Projections
BUNKER Political Intelligence | Public Forecast Report
1 Executive Control Dashboard
1.1 📋 Strategic Analytical Brief & Insights
- The balance-of-power center has strengthened for Democrats since the last public report.
The prior report centered on 226 Democratic / 209 Republican seats in the House and 51 D/aligned / 49 Republican seats in the Senate. The updated projection is 235 D / 200 R in the House and 52 D/aligned / 48 R in the Senate. - The House now has a materially wider central cushion.
The 235-seat Democratic center is 17 seats above the 218-seat control threshold. The updated 85% range is 222–248 Democratic seats, and the estimated probability of Democratic control is about 97%. - The Senate remains the narrower control point.
The Senate point estimate is 52 D/aligned / 48 R, with the latest corrected simulation assigning 69.9% probability to outright Democratic control. The 85% interval is 48–55 D/aligned seats. - The two chambers have moved in the same direction, but their risk profiles remain different.
The House distribution is now concentrated more clearly above its control threshold, while the Senate retains a wider pivotal tail. The joint simulation therefore continues to identify the Senate as the main source of balance-of-power uncertainty. - Stress sensitivity has widened in the House but remains narrow in the Senate.
A uniform Republican shift of roughly 2.24 points is required to move the House central count below 218 Democratic seats. In the Senate, roughly 0.62 points toward Republicans is enough to move the central count below 51, while about 0.42 points toward Democrats moves the point estimate to 53 D/aligned seats.
Comparison note: prior-report values are shown only as a descriptive benchmark; the forecasting architecture has been upgraded since that publication.
2 U.S. Senate Analysis
The current Senate forecast centers on 52 D/aligned seats and 48 Republican seats, with 69.9% probability of outright Democratic control. The 85% modeled range is 48–55 D/aligned seats. The public focus below is the final projection and how the battleground has evolved—not the internal mechanics used to build it.
2.1 Battlefield Evolution Since the June Report
| State | June public-report position | Current projected DEM/aligned vote | Current P(DEM/aligned wins) | Current tier | Official projection |
|---|---|---|---|---|---|
| NE | Lean GOP | 39.8% | 3.3% | Solid REP | REP |
| AK | Lean GOP | 49.7% | 47.0% | Pure Toss-Up | REP |
| OH | Lean GOP | 50.1% | 50.7% | Pure Toss-Up | DEM |
| TX | Lean GOP | 50.2% | 52.6% | Pure Toss-Up | DEM |
| IA | Lean GOP | 49.5% | 44.7% | Pure Toss-Up | REP |
| MT | Lean GOP | 47.3% | 31.6% | Lean REP | REP |
| NC | Competitive / GOP edge | 55.8% | 93.9% | Solid DEM | DEM |
| MI | 50/50 tipping edge | 52.8% | 77.5% | Lean DEM | DEM |
| GA | Tilt DEM | 58.2% | 98.6% | Solid DEM | DEM |
The largest structural changes are in Texas and Ohio, which have crossed from the June Republican-leaning firewall to narrow Democratic advantages in the current forecast. Alaska and Texas are effectively centered at the toss-up boundary, Iowa remains narrowly Republican, and the Democratic side is stronger in Michigan, North Carolina and Georgia than it was in the June narrative.
2.2 Geographic Map of the 35 Senate Contests
2.3 State-Level Projection Table for the 35 Senate Contests
| State | Projected DEM/aligned vote | Projected REP vote | P(DEM/aligned wins) | P(REP wins) | IC85 projected DEM/aligned vote | Official projection | Competitiveness tier |
|---|---|---|---|---|---|---|---|
| Montana (MT) | 18.2% | — | 0.0% | 100.0% | — | REP | Solid REP |
| South Dakota (SD) | 31.5% | 68.5% | 0.0% | 100.0% | 23.5–39.5% | REP | Solid REP |
| West Virginia (WV) | 31.7% | 68.3% | 0.1% | 99.9% | 23.7–39.7% | REP | Solid REP |
| Wyoming (WY) | 33.1% | 66.9% | 0.1% | 99.9% | 25.1–41.1% | REP | Solid REP |
| Idaho (ID) | 33.9% | 66.1% | 0.2% | 99.8% | 25.9–41.9% | REP | Solid REP |
| Tennessee (TN) | 38.0% | 62.0% | 0.0% | 100.0% | 33.1–42.8% | REP | Solid REP |
| Arkansas (AR) | 40.6% | 59.4% | 13.9% | 86.1% | 28.2–53.1% | REP | Solid REP |
| Mississippi (MS) | 41.3% | 58.7% | 0.5% | 99.5% | 36.4–46.1% | REP | Solid REP |
| Oklahoma (OK) | 42.3% | 57.7% | 8.3% | 91.7% | 34.3–50.3% | REP | Solid REP |
| Alabama (AL) | 42.5% | 57.5% | 1.3% | 98.7% | 37.7–47.4% | REP | Solid REP |
| Kentucky (KY) | 42.6% | 57.4% | 2.4% | 97.6% | 37.2–48.0% | REP | Solid REP |
| Louisiana (LA) | 42.9% | 57.1% | 2.9% | 97.1% | 37.5–48.3% | REP | Solid REP |
| Florida (FL) | 45.1% | 54.9% | 17.1% | 82.9% | 37.6–52.5% | REP | Likely REP |
| Nebraska (NE) | 46.6% | 53.4% | 25.3% | 74.7% | 39.2–54.0% | IND/REP | Likely REP |
| South Carolina (SC) | 47.0% | 53.0% | 23.3% | 76.7% | 41.1–52.9% | REP | Lean REP |
| Kansas (KS) | 47.3% | 52.7% | 28.1% | 71.9% | 40.5–54.1% | REP | Lean REP |
| Iowa (IA) | 49.6% | 50.4% | 45.5% | 54.5% | 44.2–55.0% | REP | Pure Toss-Up |
| Maine (ME) | 50.3% | 49.7% | 53.6% | 46.4% | 45.0–55.7% | DEM | Pure Toss-Up |
| Alaska (AK) | 50.6% | 49.4% | 56.6% | 43.4% | 45.2–56.0% | DEM | Tilt DEM |
| Ohio (OH) | 51.2% | 48.8% | 62.6% | 37.4% | 45.8–56.6% | DEM | Tilt DEM |
| Texas (TX) | 51.5% | 48.5% | 65.4% | 34.6% | 46.1–56.9% | DEM | Tilt DEM |
| Michigan (MI) | 53.9% | 46.1% | 85.2% | 14.8% | 48.5–59.3% | DEM | Likely DEM |
| Minnesota (MN) | 55.2% | 44.8% | 91.7% | 8.3% | 49.8–60.6% | DEM | Solid DEM |
| New Hampshire (NH) | 57.0% | 43.0% | 96.9% | 3.1% | 51.6–62.4% | DEM | Solid DEM |
| North Carolina (NC) | 57.6% | 42.4% | 97.9% | 2.1% | 52.2–63.0% | DEM | Solid DEM |
| Georgia (GA) | 58.3% | 41.7% | 98.7% | 1.3% | 52.9–63.7% | DEM | Solid DEM |
| New Jersey (NJ) | 58.7% | 41.3% | 94.1% | 5.9% | 50.7–66.7% | DEM | Solid DEM |
| Delaware (DE) | 59.2% | 40.8% | 95.1% | 4.9% | 51.2–67.2% | DEM | Solid DEM |
| New Mexico (NM) | 69.9% | 39.9% | 98.4% | 1.6% | 53.3–66.9% | DEM | Solid DEM |
| Illinois (IL) | 60.8% | 39.2% | 97.3% | 2.7% | 52.8–68.8% | DEM | Solid DEM |
| Virginia (VA) | 61.9% | 38.1% | 98.4% | 1.6% | 53.9–69.9% | DEM | Solid DEM |
| Colorado (CO) | 62.8% | 37.2% | 98.9% | 1.1% | 54.8–70.8% | DEM | Solid DEM |
| Oregon (OR) | 65.1% | 34.9% | 99.7% | 0.3% | 57.1–73.1% | DEM | Solid DEM |
| Rhode Island (RI) | 65.5% | 34.5% | 100.0% | 0.0% | 60.6–70.3% | DEM | Solid DEM |
| Massachusetts (MA) | 66.4% | 33.6% | 100.0% | 0.0% | 60.6–72.2% | DEM | Solid DEM |
For Nebraska only, the Democratic-aligned opposition slot can correspond to an Independent candidacy under the seat-control convention; when that slot is projected to win, the public label is shown as IND rather than DEM.
2.4 Matrix of the 35 Contests — Projected Competitiveness
2.5 Where Markets and the Model Diverge Most
| State | Projected DEM/aligned vote | BUNKER P(DEM/aligned wins) | Market P(DEM) | Market source | Market − BUNKER probability gap | Official projection |
|---|---|---|---|---|---|---|
| MT | 47.3% | 31.6% | 1.0% | Market source not recorded | -30.6 pp | REP |
| AK | 49.7% | 47.0% | 68.0% | Market source not recorded | +21.0 pp | REP |
| MI | 52.8% | 77.5% | 65.5% | Market source not recorded | -12.0 pp | DEM |
| NH | 55.4% | 92.4% | 83.5% | Market source not recorded | -8.9 pp | DEM |
| TX | 50.2% | 52.6% | 58.5% | Market source not recorded | +5.9 pp | DEM |
| GA | 58.2% | 98.6% | 93.0% | Market source not recorded | -5.6 pp | DEM |
| IA | 49.5% | 44.7% | 39.5% | Market source not recorded | -5.2 pp | REP |
| ME | 51.6% | 66.4% | 70.5% | Market source not recorded | +4.1 pp | DEM |
| MN | 56.8% | 96.5% | 92.5% | Market source not recorded | -4.0 pp | DEM |
| OH | 50.1% | 50.7% | 54.5% | Market source not recorded | +3.8 pp | DEM |
This table is included because disagreement can be informative. It shows where public betting-market expectations differ most from BUNKER’s current probability estimate. The market number is not a second projection and does not replace the official forecast shown above.
3 U.S. House of Representatives Analysis
The House forecast centers on 235 Democratic seats and 200 Republican seats, with an estimated 97.3% probability of Democratic control and an 85% modeled range of 222–248 Democratic seats. The previous public report centered on 226 D / 209 R, so the current district-level projection is nine Democratic seats higher.
3.1 State Map of District-Level Projections
3.2 Territorial Matrix of All 435 Districts
3.3 House Competitiveness — Official Projection by Tier
| Classification | Expected Democratic vote |
|---|---|
| Solid GOP | Below 45.0% |
| Likely GOP | 45.0% to below 47.0% |
| Lean GOP | 47.0% to below 48.5% |
| Tilt GOP | 48.5% to below 49.5% |
| Pure Toss-Up | 49.5% to below 50.5% |
| Tilt DEM | 50.5% to below 51.5% |
| Lean DEM | 51.5% to below 53.0% |
| Likely DEM | 53.0% to below 55.0% |
| Solid DEM | 55.0% or higher |
These are BUNKER presentation bands applied to the official expected Democratic vote; they are not external race ratings.
| Tier | Districts |
|---|---|
| Solid GOP | 136 |
| Likely GOP | 27 |
| Lean GOP | 20 |
| Tilt GOP | 11 |
| Pure Toss-Up | 13 |
| Tilt DEM | 6 |
| Lean DEM | 5 |
| Likely DEM | 7 |
| Solid DEM | 210 |
4 Balance of Power & Uncertainty
4.1 Chamber Seat Distributions
4.2 Interdependence and Balance of Power
| Balance-of-power outcome | Joint probability |
|---|---|
| Democratic control of both chambers | 68.7% |
| Democratic House / non-Democratic Senate | 28.8% |
| Republican House / Democratic Senate | 1.2% |
| Republican House / non-Democratic Senate | 1.4% |
The joint distribution preserves a common national shock across both chambers. It is intended to show how control outcomes move together, not to create a separate race-level forecast.
4.3 Empirical Core: Intervals and Risk Boundaries
| Chamber | Median | Empirical core (P25–P75) | Risk boundary (P10–P90) | Tail boundary (P2.5–P97.5) | Control threshold |
|---|---|---|---|---|---|
| House of Representatives | 226 seats | 220–232 seats | 214–238 seats | 208–244 seats | 218 seats |
| Senate | 51 seats | 50–53 seats | 48–54 seats | 46–56 seats | 51 seats |
5 Projected Voter Turnout — 2026
Turnout is a structural condition of the 2026 environment, not a partisan prediction by itself. The figures below place BUNKER’s turnout forecast in historical midterm context and then show how that participation environment is distributed across states and the most competitive congressional terrain.
5.1 Historical National Midterm Turnout and 2026 Forecast
BUNKER’s current 50-state VEP-weighted turnout forecast is 47.3%, with an empirical 80% predictive bracket of 43.6–50.4%. The weighting is national in the sense relevant for the state model: each state’s projected turnout is weighted by its share of the voting-eligible population rather than giving small and large states equal influence. Because 2026 VEP is not yet observable and the operational VEP_STATE_2026 vector was not persisted numerically in the recovered turnout artifacts, this public aggregation uses 2024 state VEP — the latest observed Election Lab state weights — as the transparent weighting vintage rather than silently substituting VAP or CVAP.
Higher turnout does not mechanically imply a better result for either party. Its value here is to show whether the 2026 forecast is being generated in a historically low-, normal-, or high-participation midterm environment before examining where participation is concentrated.
5.2 State-Level 2026 Turnout Map
The state map shows why a national average is only the starting point: the modeled participation environment varies materially across the country. Those differences matter most where control is being decided at the margin.
5.3 Turnout in Competitive Senate States
This comparison focuses on the states carrying the greatest leverage in the current Senate control distribution. It is intended to show the participation environment around the battleground, not to imply that turnout by itself determines the winner.
5.4 Turnout Across Competitive House Districts
The district chart shows all 12 Pure Toss-Up districts and deliberately uses a relative turnout index rather than presenting a fabricated district VEP percentage. A value above 100 means the district is projected to participate more strongly than its state’s CVAP-weighted district average; below 100 means the opposite. This lets the public see where turnout intensity may reinforce or weaken the most competitive House terrain without mixing incompatible denominators.
6 Model Validation & Diagnostic Metrics
The public validation answers one question for each chamber: how often did the final forecast call the race correctly when applied to historical elections under forecast-valid rules? Component-model scores are intentionally excluded here; those belong in the internal technical report.
6.1 Historical Backtesting Validation Report
6.1.1 House Historical Forecast Accuracy
|Metric | Result | |:----------------------------|:---------:| |Historical races tested | 2,722 | |Correct final projections | 2,594 | |Final-forecast call accuracy | 95.3% | |Validation span | 2012–2024 |
Across the 2012–2024 historical validation window, the candidate-adjusted final House forecast correctly called 2,594 of 2,722 modeled district races — 95.3%. Before the candidate layer, the same backbone called 2,592 races correctly (95.2%). The candidate adjustment therefore adds a net two correct calls across the audited historical cases.
6.1.2 Senate Historical Forecast Accuracy
|Metric | Result |
|:----------------------------|:---------:|
|Historical races tested | 241 |
|Correct final projections | 223 |
|Final-forecast call accuracy | 92.5% |
|Validation span | 2012–2024 |
Across the 2012–2024 historical validation window, the final Senate forecast correctly called 223 of 241 races — 92.5%. This is the end-to-end public accuracy measure for the Senate forecast; the report does not mix it with component-model accuracy rates.
6.2 Monte Carlo Stability
| Chamber | Simulations | Full-run P(DEM control) | Monte Carlo SE | Batch probability range |
|---|---|---|---|---|
| House | 2 million | 97.3% | 0.027 pp | 81.9%–83.5% |
| Senate | 2 million | 69.9% | 0.035 pp | 59.3%–60.8% |
6.3 Stability Curve
6.4 Uniform District-Center Vote-Shift Stress Test
This stress test asks a simple counterfactual question: how far would the current expected-vote centers have to move uniformly toward either party before the central seat count changes control? For the House, the exercise applies the same vote shift to all 435 district expected-vote centers and then recounts which side is above 50% in each district. For the Senate, the same uniform shift is applied to the current state-race centers and the central seat count is recomputed. The horizontal axis therefore represents a uniform movement in race-level vote centers; it is not a generic-ballot estimate and it is not a probability forecast.
In the House, the first Republican-side control boundary appears at roughly a 2.24-point uniform shift. At that point, enough Democratic-projected districts cross below 50% for the central seat count to fall below the 218-seat majority threshold. This is broader than a sweep of the 12 Pure Toss-Up districts: if Republicans won all 12, Democrats would still hold 221 seats to 214 Republican seats, because only 5 of those 12 are currently Democratic calls. Republicans would still need at least 4 additional Democratic-projected districts outside the Pure Toss-Up band to take control. The uniform-shift exercise reaches those additional districts as well.
For the Senate, the current central majority is lost after roughly a 0.62-point Republican shift, while about a 0.42-point Democratic shift moves the central projection to at least 52 Democratic/aligned seats. These thresholds measure sensitivity around the current forecast, not the probability that such a national shift will occur.
6.5 Current Forecast Coverage
| Check | Result | Status |
|---|---|---|
| House district coverage | 435 of 435 | PASS |
| Senate race coverage | 35 of 35 | PASS |
7 Methodology
BUNKER’s 2026 congressional forecast is a five-layer hybrid probabilistic model. It combines long-run electoral fundamentals, the national electoral environment, district/state polling, market-based corroboration where available, and a specialized candidate-effect layer. Chamber uncertainty is summarized with 2,000,000 correlated Monte Carlo draws.
The public report deliberately shows the official forecast, uncertainty and validation evidence rather than the internal sequence of model components. Detailed model diagnostics, source-level QA, calibration locks and reproducibility controls remain in BUNKER’s technical internal report.