I made a (subjective) electoral college model with the goal of understanding betting markets:
I calibrated the state outcomes to (roughly) match betting markets.
and set the amount of correlation based on betting markets.
Using that methodology the most likely outcomes are
312 - 226 Trump (7%) - Trump wins all 7 swing states
319 - 219 Kamala (2%) - Kamala wins all 7 swing states
303 - 235 Kamala (2%) - Kamala wins all swing states minus 16 EVs (e.g. GA or NC or WI + NV)
306 - 232 Trump (2%) - Trump wins all swing states minus NV
297 - 241 Trump (2%) - Trump wins all swing states minus MI
302 - 236 Trump (2%) - Trump wins all swing states minus WI
296 - 242 Trump (2%) - Trump wins all swing states minus 16 EVs (e.g. GA or NC or WI + NV)
293 - 245 Trump (2%) - Trump wins all swing states minus PA
287 - 251 Trump (2%) - Trump wins all but 25 of swing state EVs (e.g. PA + NV or WI + MI)
292 - 246 Kamala (2%) - Kamala wins all but 27 of swing state EVs (e.g AZ + one of GA/NC)
Total: 24% by my model
(faithless electors ignored)
🏅 Top traders
# | Name | Total profit |
---|---|---|
1 | Ṁ45 | |
2 | Ṁ38 | |
3 | Ṁ11 | |
4 | Ṁ9 |