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South Dakota Senate race

Updated October 8, 2026 · 26 days until the November 3 election

Brian Bengs (I) and Mike Rounds (R) are running for the U.S. Senate seat in South Dakota. Across 4 polls, the Frothier average has Brian Bengs at 45.3% and Mike Rounds at 50.1%, which is Rounds +4.9. That gives Mike Rounds a 76% chance of winning, and the race is rated Lean R. The seat is currently held by Republicans.

Rating
Lean R
Set by the win estimate
Chance of winning
76%
Mike Rounds (R)
Polling average
Rounds +4.9
4 polls, newest Sep 27
Frothier estimate
Rounds +4.9
Give or take 6.9 points

Where the race stands

Brian Bengsindependent
45.3%
Mike RoundsRepublican
50.1%
Chance of winning
Bengs 24%Rounds 76%

How the polls have moved

The polling average over the last four months. Above the middle line Bengs leads; below it Rounds leads.

I+26EvenR+26Jun 10Oct 8

Recent polls

Newest first. Polls paid for by a party or a campaign are tagged and count for half in the average.

PollsterEndedSampleBengs (I)Rounds (R)Margin
Zenith Research Sep 27500 LV 47.053.0Rounds +6.0
Public Policy Polling Sep 9629 RV 42.045.0Rounds +3.0
Impact Research Aug 17500 LV 44.044.0Even
Public Opinion StrategiesR poll Jul 9500 LV 33.056.0Rounds +23.0
Public Policy Polling May 30726 RV 23.043.0Rounds +20.0
Public Policy Polling Feb 18685 RV 35.047.0Rounds +12.0
Public Policy Polling Nov 14814 RV 31.044.0Rounds +13.0
Public Policy Polling Jul 31552 RV 28.041.0Rounds +13.0

How this estimate is made

Every general-election poll goes into one weighted average: newer, larger and likely-voter polls count for more, and no single pollster can flood it. The average is then blended with how the state voted for president in 2024 and today's national generic ballot. Races with many recent polls lean on the polls. A win estimate is a probability, not a call: a candidate with a 70 percent chance loses three times in ten. Full method and sources.

Poll data from The New York Times poll database, CC BY 4.0, via PollResults.org. Averages, ratings and projections are Frothier calculations.

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