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Safe R · 2026 Governor

Alabama Governor

Tommy Tuberville (R) is all but certain to win the 2026 Alabama Governor race — about a 96% chance, winning by about 16 points in the projection. Updated daily from 1 poll.

Doug Jones (D)
4%
(R) Tommy Tuberville
96%
Chance of winning the seatPredicted margin R+15.5

What the markets say

Chance of a Democratic win
VotePredictor Elections model4%
Polymarket ↗24k volume8%
Kalshi ↗76k volume11%

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+15.5 — a 96% Republican win. With only a poll or two this early, the forecast stays cautious and leans partly on the seat's history.

Latest news

Doug Jones (D)
Tommy Tuberville (R)

Headlines via NewsAPI, refreshed daily.

The polls behind it

1 poll · newest first
PollsterDateMargin
yes. every kid.2026-07-11R+8.0

Frequently asked questions

Who is winning the 2026 Alabama Governor race?

VotePredictor's model favors Tommy Tuberville (R), with roughly a 96% chance of winning and a projected margin of R+15.5.

What do the polls say in the Alabama Governor race?

There is 1 poll of this race. The most recent, from yes. every kid. (2026-07-11), showed R+8.0. VotePredictor's poll-weighted projection is R+15.5.

Who are the candidates in the 2026 Alabama Governor race?

Doug Jones is the Democratic candidate; Tommy Tuberville is the Republican.

When is the 2026 Alabama Governor election?

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

How does VotePredictor forecast the Alabama 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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