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Safe D · 2026 Governor

Illinois Governor

JB Pritzker (D) is all but certain to win the 2026 Illinois Governor race — about a 99% chance, winning by about 19 points in the projection. Updated daily from 2 polls.

JB Pritzker (D)
100%
(R) Darren Bailey
0%
Chance of winning the seatPredicted margin D+19.0

What the markets say

Chance of a Democratic win
VotePredictor Elections model100%
Polymarket ↗28k volume97%
Kalshi ↗158k volume96%

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: 2 polls of the race so far. After weighting them by recency and correcting each pollster's house effect, the model (TabPFN) predicts D+19.0 — a 100% Democratic win. With only a poll or two this early, the forecast stays cautious and leans partly on the seat's history.

Latest news

JB Pritzker (D)

Headlines via NewsAPI, refreshed daily.

The polls behind it

2 polls · newest first
PollsterDateMargin
ActiVote (via Wikipedia)2026-10-22D+18.0

Frequently asked questions

Who is winning the 2026 Illinois Governor race?

VotePredictor's model favors JB Pritzker (D), with roughly a 99% chance of winning and a projected margin of D+19.0.

What do the polls say in the Illinois Governor race?

There are 2 polls of this race. The most recent, from ActiVote (2026-10-22), showed D+18.0. VotePredictor's poll-weighted projection is D+19.0.

Who are the candidates in the 2026 Illinois Governor race?

JB Pritzker is the Democratic candidate; Darren Bailey is the Republican.

When is the 2026 Illinois Governor election?

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

How does VotePredictor forecast the Illinois 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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