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Safe R · 2026 Governor

Idaho Governor

Brad Little (R) is all but certain to win the 2026 Idaho Governor race — about a 95% chance, winning by about 27 points in the projection. Updated daily from 1 poll.

Terri Pickens (D)
5%
(R) Brad Little
95%
Chance of winning the seatPredicted margin R+27.1

How the odds moved

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 model5%
Polymarket24k volume3%
Kalshi1k volume2%

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: 1 poll of the race so far. After weighting them by recency and correcting each pollster's house effect, the model (TabPFN) predicts R+27.1 — a 95% Republican win. With only a poll or two this early, the forecast stays cautious and leans partly on the seat's history.

The polls behind it

1 poll · newest first
PollsterDateMargin
Change Research[21][A]2026-07-30R+21.0

Frequently asked questions

Who is winning the 2026 Idaho Governor race?

VotePredictor's model favors Brad Little (R), with roughly a 95% chance of winning and a projected margin of R+27.1.

What do the polls say in the Idaho Governor race?

There is 1 poll of this race. The most recent, from Change Research[21][A] (2026-07-30), showed R+21.0. VotePredictor's poll-weighted projection is R+27.1.

Who are the candidates in the 2026 Idaho Governor race?

Terri Pickens is the Democratic candidate; Brad Little is the Republican.

When is the 2026 Idaho Governor election?

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

How does VotePredictor forecast the Idaho Governor 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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