2026 forecast · Michigan 1st

Jack Bergman is all but certain to win Michigan's 1st District.

Callie Barr vs Jack Bergman. The model has Bergman ahead by 14.1 points, winning 99 percent of 2,000 simulated elections.

Safe RModel R +14.1Updated October 22, 2026
Callie Barr
Democrat
42.4%
163,938 projected votes
Jack Bergman
Republican
56.5%
218,581 projected votes
99%Bergman
1%Barr
Bergman all but certainEach square is one simulated election night, Bergman wins about 99 of 100
RatingSafe R99% chance for Bergman
Model marginR +14.1No polls in the race
80 percent rangeR +6.0 to R +22.42,000 simulations
Projected votes386,799Bergman 56.5%

The district map

Every district in the state, shaded by its rating

Michigan districts

13 districts
Safe DLikely DLean DToss upLean RLikely RSafe R

Vote share

Each candidate's projected share and the range of 80 percent of simulations

Callie BarrDemocrat · 1% to win
42.4%
Jack BergmanRepublican · 99% to win
56.5%

Scale runs from 25 to 75 percent. The dot is the forecast, the band is the 80 percent range and the brighter tick marks 50 percent.

Projected district vote

386,799 votes
CandidateVotesShare
Jack Bergman R218,58156.5%
Callie Barr D163,93842.4%
LaVeta Davenport G4,2801.1%
Total386,799100%

Each candidate's expected vote in the On Point simulation, at the forecast's projected turnout.

The trend

Each side's chance of winning over the forecast's recent updates

0%25%50%75%100%1% Barr99% Bergman15 updates agoToday

Polling

Every poll in the average, and how the model reads it

The Michigan governor polling average
30%35%40%45%50%55%60%MayJunJulAugSepOct50.5Benson42.4James
The line is the On Point average: a robust LOWESS fit through the polls, weighted by recency, sample, voter screen and pollster grade, refit three times so outliers count for lessDot size is each poll's weight todayHover or use the arrow keys to read any day
What moves the average today
On Point PollingOct 18 · 518 LV · Gold15%Benson +11.8
Fox News/Beacon Research and Shaw & CompanySep 28 · 1,028 LV · A++14%Benson +9.0
Marist UniversityOct 18 · 1,025 LV · C12%Benson +6.0
Emerson CollegeSep 14 · 1,000 LV · Gold11%Benson +7.0
The Washington Post/SSPGSep 14 · 803 LV · A+9.5%Benson +12.0
New York Times/Siena UniversitySep 22 · 605 LV · Gold8.9%Benson +5.0
Every other poll together: 30%

This is the same On Point polling average as the full average page. The forecast reads the polls through its own Election Day projection, shown as the On Point average in the table below, and blends it with partisan lean and fundamentals.

Polls of the race

Full average
PollsterSampleAgeMargin
On Point averageWeighted averageNo polls

Each margin is the poll as the pollster published it. The forecast counts every poll after its house effect and the undecided split, which is what the trail above shows; hover a margin for the counted value. Lean R and Lean D mark partisan leaning firms.

Model margin
Bergman +14.1
Chance of winning
Callie Barr1%
Jack Bergman99%
Simulated vote
Callie Barr42.4%
Jack Bergman56.5%
LaVeta Davenport1.1%
How the model gets there
Partisan leanD +21.0
FundamentalsR +14.1
With pollsR +14.5
Early vote turnoutD +0.4
With early voteR +14.1

Read from 0 ballots cast so far in Michigan, against the party mix the forecast expected of them, with similar states and primary turnout. Early vote tracker

How we got here

From the state's partisan lean to the forecast, one stage at a time

D +25R +25Partisan leanthe state's baselineD +21.0Fundamentalsapproval, economy, candidatesR +14.1With pollsno pollsR +14.5With early voteturnout so farR +14.1
Methodology
Every county is rebuilt by simulating voters going to the polls, 2,000 times, from On Point Polling survey data, past results, and the polling average. How the model works.