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Safe D · 2026 Senate

Illinois Senate

Juliana Stratton (D) is all but certain to win the 2026 Illinois Senate race — about a 99% chance, winning by about 16 points in the projection. Updated daily from 1 poll.

Juliana Stratton (D)
100%
(R) Don Tracy
0%
Chance of winning the seatPredicted margin D+15.6

What the markets say

Chance of a Democratic win
VotePredictor Elections model100%
Polymarket ↗34k volume98%
Kalshi ↗10k volume98%

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 D+15.6 — 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

Juliana Stratton (D)
Don Tracy (R)

Headlines via NewsAPI, refreshed daily.

The polls behind it

1 poll · newest first
PollsterDateMargin
Public Policy Polling2026-10-01D+13.0

Frequently asked questions

Who is winning the 2026 Illinois Senate race?

VotePredictor's model favors Juliana Stratton (D), with roughly a 99% chance of winning and a projected margin of D+15.6.

What do the polls say in the Illinois Senate race?

There is 1 poll of this race. The most recent, from Public Policy Polling (2026-10-01), showed D+13.0. VotePredictor's poll-weighted projection is D+15.6.

Who are the candidates in the 2026 Illinois Senate race?

Juliana Stratton is the Democratic candidate; Don Tracy is the Republican.

When is the 2026 Illinois Senate election?

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

How does VotePredictor forecast the Illinois 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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