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Safe R · 2026 Senate

Idaho Senate

Jim Risch (R) is all but certain to win the 2026 Idaho Senate race — about a 99% chance, winning by about 35 points in the projection. Updated daily from 3 polls.

David Roth (D)
0%
(R) Jim Risch
100%
Chance of winning the seatPredicted margin R+35.1

How the odds moved

JulSep

VotePredictor Elections' win probability for each party, rerun from the polls available on each date — hover the chart to read any day. The dashed line is even odds.

What the markets say

Chance of a Democratic win
VotePredictor Elections model0%
Polymarket ↗129k volume0%
Kalshi ↗59k volume0%

Market prices are shown for comparison and are never an input to the forecast — a 2024 test found blending Polymarket in made the model's calls measurably worse. Where the two disagree, one of them is wrong, and the track record is the only way to find out which.

Why this forecast

This forecast is poll-driven: 3 polls of the race so far. After weighting them by recency and correcting each pollster's house effect, the model (TabPFN) predicts R+35.1 — a 100% Republican win.

Latest news

David Roth (D)
Jim Risch (R)

Headlines via NewsAPI, refreshed daily.

The polls behind it

3 polls · newest first
PollsterDateMargin
Change Research2026-07-30R+30.0
Peak Insights2026-06-07R+40.0
The Bullfinch Group2026-06-01R+26.0

Frequently asked questions

Who is winning the 2026 Idaho Senate race?

VotePredictor's model favors Jim Risch (R), with roughly a 99% chance of winning and a projected margin of R+35.1.

What do the polls say in the Idaho Senate race?

There are 3 polls of this race. The most recent, from Change Research (2026-07-30), showed R+30.0. VotePredictor's poll-weighted projection is R+35.1.

Who are the candidates in the 2026 Idaho Senate race?

David Roth is the Democratic candidate; Jim Risch is the Republican.

When is the 2026 Idaho Senate election?

Election Day is Tuesday, November 3, 2026. VotePredictor refreshes this forecast every day until then.

How does VotePredictor forecast the Idaho Senate race?

It is a poll-driven model. Recent polls are weighted by recency and adjusted for each pollster's historical house effect, then a machine-learning model (TabPFN) trained on U.S. races from 1998–2025 turns them into a projected margin and win probability.

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