2026 Senate forecastThe Upper Chamber

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

Kansas

Rated Likely R

Roger Marshall wins this seat in 91 in 100 simulations. Call it clearly favored.

  • Portrait of Roger MarshallRoger MarshallRIncumbent91 in 100
  • Adam HamiltonD9 in 100

Over time

How the forecast has moved

0255075100AprJulOctJan ’26AprJulD 9 in 100R 91 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 +12.0
Roger Marshall aheadAdam Hamilton 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 +15.8
  • IncumbencyR +2.5
  • National environmentD +5.1
  • FundraisingR +0.3
  • Fundamentals sayR +13.4
  • The polls sayR +1.8
  • Blended forecast marginR +11.9

The blend puts 13 percent of its weight on the polls and 87 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 Roger Marshall wins, read as an implied probability. Shown for comparison only. This is not betting advice, and market prices never feed the model.

  • Roger Marshall winsThis forecast91 in 100
  • Roger Marshall winsKalshi82 in 100
  • Roger Marshall winsPolymarket80 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
Public Policy Polling (D)Aug 7–8569 LV45–46R +1.0+0.489%
GBAO (D)Jul 8–13600 LV43–47R +4.0−0.311%
Tavern Research (D)Jan 26–281,013 LV46–54R +8.0<1%

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