Election Day, Nov 3 6 daysSenate D 85%House D 97%Governors D 86%Forecast updated Oct 28
2026 forecast · Louisiana 1st

Steve Scalise is all but certain to win Louisiana's 1st District.

Lauren Jewett vs Steve Scalise. The model has Scalise ahead by 34.6 points, winning 100 percent of 2,000 simulated elections.

Safe RModel R +34.6Updated October 28, 2026
Lauren Jewett
Democrat
31.6%
79,966 projected votes
Steve Scalise
Republican
66.2%
167,522 projected votes
100%Scalise
0%Jewett
Scalise all but certainEach square is one simulated election night, Scalise wins about 100 of 100
RatingSafe R100% chance for Scalise
Model marginR +34.6No polls in the race
80 percent rangeR +28.1 to R +40.92,000 simulations
Projected votes253,079Scalise 66.2%

The district map

Every district in the state, shaded by its rating

Louisiana districts

6 districts
Safe DLikely DLean DToss upLean RLikely RSafe R

Vote share

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

Lauren JewettDemocrat · 0% to win
31.6%
Steve ScaliseRepublican · 100% to win
66.2%

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

253,079 votes
CandidateVotesShare
Steve Scalise R167,52266.2%
Lauren Jewett D79,96631.6%
Liddy Glass I5,5912.2%
Total253,079100%

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%0% Jewett100% Scalise18 updates agoToday

Polling

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

Polls of the race

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
Scalise +34.6
Chance of winning
Lauren Jewett0%
Steve Scalise100%
Simulated vote
Lauren Jewett31.6%
Steve Scalise66.2%
Liddy Glass2.2%
How the model gets there
Partisan leanD +38.0
FundamentalsR +34.7
With pollsR +34.6

How we got here

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

D +46R +46Partisan leanthe state's baselineD +38.0Fundamentalsapproval, economy, candidatesR +34.7With pollsno pollsR +34.6
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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.