2026 Senate forecastThe Upper Chamber

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IA · Senate 2026 · Updated Aug 27, 2026, 2:03 a.m. ET

Iowa

Rated Lean R

Ashley Hinson wins this seat in 78 in 100 simulations. Call it favored, but far from certain.

  • Portrait of Ashley HinsonAshley HinsonR78 in 100
  • Josh TurekD22 in 100

Over time

How the forecast has moved

0255075100AprJulOctJan ’26AprJulD 22 in 100R 78 in 100Aug 27, 2026
Chance in 100 the seat goes to each side: blue for the Democratic caucus, red for the Republicans · one point per day · hover or tap to read the lines

The margin

How close it lands

Each simulation produces a final margin. The curve shows where those margins fall; the tinted areas on either side of even are the futures each party wins.

EvenR +6.2
Ashley Hinson aheadJosh Turek ahead →
Where the simulated margins land · marker at the average margin

Under the hood

What's driving the number

The forecast blends a weighted poll average with a fundamentals model: the state's partisan lean, incumbency, the national environment, and fundraising. Positive points favor the Democratic side of the margin; negative favor the Republican side.

  • Partisan leanR +12.0
  • IncumbencyEven
  • National environmentD +5.1
  • FundraisingR +0.3
  • Fundamentals sayR +7.2
  • The polls sayR +5.2
  • Blended forecast marginR +6.3

The blend puts 46 percent of its weight on the polls and 54 percent on the fundamentals; polls take over as more arrive and election day nears.

The markets

What the betting markets say

Prediction markets put a price on this seat too: what people are paying for a contract that pays out if Ashley Hinson wins, read as an implied probability. Shown for comparison only. This is not betting advice, and market prices never feed the model.

  • Ashley Hinson winsThis forecast78 in 100
  • Ashley Hinson winsKalshi59 in 100
  • Ashley Hinson winsPolymarket61 in 100

Market prices as of Aug 27, 2026, 2:03 a.m. ET

The evidence

The polls, as the model sees them

Every public poll of this race, with the weight the model gave it in the latest run. Weights reward recency, sample size, and pollster track record; the house adjustment corrects each pollster's habitual lean before averaging.

PollDatesSampleD–RMarginHouse adj.Weight
Suffolk UniversityAug 20–23500 LV41–45R +4.0+1.273%
Emerson CollegeAug 2–4712 LV45–48R +3.0+0.924%
New York Times / Siena UniversityJun 15–27600 LV46–48R +2.0<1%
Beacon Research (D)/ Shaw & Co. Research (R)Jun 23–271,003 RV50–46D +4.0+1.02%
Cygnal (R)Jun 16–19600 LV44–46R +2.0+1.2<1%
Global Strategy Group (D)Jun 8–111,000 LV47–45D +2.0+0.1<1%
Public Policy Polling (D)Jun 3–4557 RV46–46Even+0.4<1%
Echelon Insights (R)Apr 3–9377 LV46–45D +1.0+0.7<1%
GQR (D)Mar 10–161,200 LV43–47R +4.0−0.2<1%
Change Research (D)Jan 8–111,108 LV41–44R +3.0<1%

How the weights, the blend, and the simulation work is spelled out on the methodology page.