Our model is based on several key assumptions that underpin our predictive analysis. By understanding these assumptions, users can gain a deeper insight into the methodology and approach used to generate our predictions. These assumptions are grounded in historical data, political trends, and statistical analysis, providing a robust foundation for our election forecasts. Explore the key assumptions that drive our model and learn how they contribute to the accuracy and reliability of our predictions.

Quantitative Base.

The below is the assumptions for the key data during the election. This is stating how many swing states each candidate must win to win the election.

CanidateStartDelgatesStates
Harris233373 or more
Trump232383 or more
Undecided73

Probability Breakdown.

Below are the probabilities of winning for each state for each candidate. These are based off of the Score metric that we talked about in methodology.

StateDelegates / VotesHarris Probability To WinTrump Probability To Win
Arizona11
Georgia16
Michigan16
Pennsylvania20
Wisconsin10
Undecided730.000.00
Decided465

Chances of winning a needed number of swing states.

Below are the chances of winning a certain amount of states for each candidate.

Number of StatesStatesHarris Probability To Win This Combination
TOTALS0.00%
Number of StatesStatesTrump Probability To Win This Combination
Win 3 states
AZ GA MINaN%
AZ GA PANaN%
AZ MI PANaN%
AZ PA WINaN%
GA MI PANaN%
GA MI WINaN%
GA PA WINaN%
MI PA WINaN%
Win 4 states
AZ GA MI PANaN%
AZ GA PA WINaN%
AZ MI PA WINaN%
GA MI PA WINaN%
AZ GA MI WINaN%
Win 5 states
AZ GA MI PA WINaN%
TOTALS0.00%