Current Forecast
| Harris | Trump |
|---|---|
| 257 | 281 |
This is our latest Forecast for the 2024 US General Election. Forecast is calculated on a “Nowcast” basis meaning that it is the result if an election were held today.
| Probability Trump Victory | 77.9% |
| Probability Trump 260+ EC Votes | 91.3% |
| Probability Trump 250+ EC Votes | 97.1% |
| Probability Trump 240+ EC Votes | 99.3% |
| Probability Tie | 0.8% |
| 50% Confidence Interval Trump EC Votes | 271 – 294 |
| Trump Modal EC Vote (EC Vote value with highest prob) | 281 – 8.6% likely |
| Trump Median EC Vote (Centre of Probability Distribution) | 281 – 8.6% likely |
State Forecasts – Prob Trump Winning
| State | Probability Trump Wins | Change Since Last Forecast |
| Arizona | 84.1% | Improvement for Trump |
| Georgia | 87.3% | Slight Improvement for Trump |
| Michigan | 41.3% | Slight Improvement for Trump |
| Nevada | 60.2% | Improvement for Harris |
| North Carolina | 55.9% | Strong Improvement for Harris |
| Pennsylvania | 82.8% | Strong Improvement for Trump |
| Wisconsin | 29.5% | Strong Improvement for Harris |
Commentary
Another small shift to Trump in the aggregate since our last forecast. Whilst Harris has improved her position in Nevada, North Carolina and Wisconsin, this isn’t enough to counter Trump firming up in Arizona and Pennsylvania. There is some evidence that Michigan is increasingly viable for Trump, which would all but destroy Harris’ chances.
Presidential Election Forecast Philosophy
Our US Presidential Election forecast is based on polling in individual states. We run a monte-carlo simulation across the entire country and then calculate the probability of each candidate winning each state or electoral district (in the case of Maine and Nebraska). From this we allocate Electoral College votes State by State giving a final total for each candidate.
Do you allocate whole States / Districts to Candidates?
We run 10,000 simulations of the election. Our seat forecast is based on allocating the total EC votes for each State / District to the candidate who “wins” in each simulation. From this we produce a probability distribution of likely outcomes across all the simulations in aggregate.
Some precition sites like FiveThirtyEight or Nate Silver have a different probability of Trump winning. What are you doing wrong?
Nothing! We all have slightly different modelling philosophies which produce different outcomes.
Can you tell me what the probability of a certain event happening is?
Sure. We provide the most interesting probabilities above, but leave a comment below if there is a particular probability you want us to share with you.