Methodology - 2023/24 U.S. Gubernatorial Election Model

Updated November 21, 2023 at 10:19 PM

View Full Model (Google Sheets)

Coming Soon

Specific Categories

For the Recent History category, I used historical data from 270ToWin to find the percentage of the past 12 or so elections that each party had won. The Last Election category was simply the percent of the vote in the last election for this particular seat, which I got from Wikipedia. The Expert Forecast category looks at 270ToWin's Consensus Forecast Map and assigns each color a percent value, ranging from 50% to 70% depending on how safe a race is. The Polls category is pretty straightforward, with it of course just being dependent on how a party's candidate is polling in that race. This data comes from FiveThirtyEight's polling averages, or if no average is available whatever the latest poll was. The 2023 Gubernatorial model DOES account for undecided voters/remaining votes with polls, so if you had a poll result of 49% and 49%, it splits the remaining 2% up between the two candidates unlike older models.

Race Ratings

The race ratings average both party's percentages across all categories, and then whoever has a higher probability based on the average is the predicted winner of that race. This gives much more accurate and numerical results than the old model which was not specific at all. You can view the ratings and see the correspondence to the categories won above by clicking the spreadsheet link. (green button)