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The final pre-election forecast gives Donald Trump a 70% chance of beating Kamala Harris in Arizona.


Presidential probabilities

Each day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races. Each candidate’s probability of winning is the proportion of simulations that they’ve won.

August September October November 0% 25% 50% 75% 100% Election Day November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Trump 70% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30% Harris 30%

Forecasted election-day voteshare

The model first constructs a polling average, pooling data across similar states when polls are sparse. It then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.

August September October November 40% 45% 50% 55% 60% Election Day November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th November 5th Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Trump 51.2% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8% Harris 48.8%
pollster
date
population
mode
sample size
harris
trump
margin
AtlasIntel
4 November
Likely voters
Online Ad
859
47.4%
52.6%
R +5.2%
Patriot Polling
3 November
Registered voters
IVR/Text-to-Web
790
48.2%
51.8%
R +3.5%
Victory Insights
3 November
Likely voters
IVR/Text-to-Web
732
49.6%
50.4%
R +0.8%
AtlasIntel
2 November
Likely voters
Online Ad
949
46.7%
53.3%
R +6.6%
The New York Times/Siena College
2 November
Likely voters
Live Phone
963
47.9%
52.1%
R +4.3%
InsiderAdvantage
2 November
Likely voters
Unknown
763
48.5%
51.5%
R +3.0%
Emerson College
2 November
Likely voters
IVR/Online Panel/Text-to-Web
895
48.9%
51.1%
R +2.1%
Focaldata
1 November
Likely voters
Online Panel
1,726
49.5%
50.5%
R +1.0%
AtlasIntel
31 October
Likely voters
Online Ad
983
47.8%
52.2%
R +4.4%
SoCal Research
31 October
Likely voters
Online Panel
736
49.6%
50.4%
R +0.8%
1–10 of 94 rows
...

State similarities

The model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another. Similar states are more likely to share polling biases and see similar shifts in polling trendlines.


Sources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com

View the source code
Explore the output


National Forecast
How this works


Competitive states
Nevada
Pennsylvania
Wisconsin
Michigan
North Carolina
Georgia
Arizona


All states
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine CD-1
Maine CD-2
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska CD-1
Nebraska CD-2
Nebraska CD-3
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming

Mark Rieke, 2025
All content licensed under MIT License
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