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Updated at November 07, 2022 08:45 PM US Eastern Time
The 2022 Governors model is final and no longer updating.
270towin live election viewer

NATIONAL ENVIRONMENT
The state environment is different than the national environment, but the national environment is used as the baseline for state calculations.
R+0.95

INTERACTIVE MAP
If you want to see specific state data/margins, you can scroll through the state searcher (underneath the map).

22D - 2T - 26R

STATE SEARCHER
The margins reflected here are the median out of 250,000 simulations, and probabilities are calculated using margins.

State Rating Flip Status Median Margin Dem % chance of winning GOP % chance of winning
0 AL Safe R False -31.367226 0.00000 100.00000
1 AR Safe R False -28.504572 0.00000 100.00000
2 AZ Lean R False -1.573731 42.13134 57.86866
3 CA Safe D False 25.783446 100.00000 0.00000
4 CO Safe D False 20.183131 100.00000 0.00000
5 CT Safe D False 18.993116 100.00000 0.00000
6 FL Safe R False -14.502005 0.00000 100.00000
7 GA Likely R False -6.610166 16.94917 83.05083
8 HI Safe D False 21.287061 100.00000 0.00000
9 IA Safe R False -21.355824 0.00000 100.00000
10 ID Safe R False -33.652297 0.00000 100.00000
11 IL Safe D False 19.611540 100.00000 0.00000
12 KS Lean D False 3.353948 66.76974 33.23026
13 MA Safe D True 26.443659 100.00000 0.00000
14 MD Safe D True 29.225509 100.00000 0.00000
15 ME Likely D False 5.809016 79.04508 20.95492
16 MI Likely D False 5.060947 75.30474 24.69526
17 MN Safe D False 9.430038 97.15019 2.84981
18 NE Safe R False -19.891467 0.00000 100.00000
19 NH Safe R False -24.093405 0.00000 100.00000
20 NM Likely D False 5.936734 79.68367 20.31633
21 NV Tossup True -0.766418 46.16791 53.83209
22 NY Safe D False 11.237171 100.00000 0.00000
23 OH Safe R False -24.701163 0.00000 100.00000
24 OK Likely R False -5.570485 22.14758 77.85242
25 OR Lean D False 1.349297 56.74648 43.25352
26 PA Safe D False 10.594860 100.00000 0.00000
27 RI Safe D False 18.208487 100.00000 0.00000
28 SC Safe R False -17.792756 0.00000 100.00000
29 SD Safe R False -18.491980 0.00000 100.00000
30 TN Safe R False -31.164392 0.00000 100.00000
31 TX Safe R False -12.380219 0.00000 100.00000
32 VT Safe R False -39.905781 0.00000 100.00000
33 WI Tossup True -0.852010 45.73995 54.26005
34 WY Safe R False -52.213766 0.00000 100.00000


RATING CATEGORIES

Safe Republican - A <=95% chance of voting Republican

Likely Republican - A <=75% chance of voting Republican

Leans Republican - A <=55% chance of voting Republican

Tossup - A >=55% chance of voting for either party

Leans Democratic - A <=55% chance of voting Democratic

Likely Democratic - A <=75% chance of voting Democratic

Safe Democratic - A <=95% chance of voting Democratic


METHODOLOGY

This model is made up of two components, two which everyone that's a politics junkie knows well - the fundamentals and the polls.

The model fundamentals are made up of three components in of themselves - a presidential composite using

  • 5% 2012 presidential election results
  • 15% 2016 presidential election results
  • and 80% 2020 presidential election results.
On top of that, the presidential composite is adjusted for district trends over the last 2 years, which altogether makes a partisan lean index. But there are 3 states where there's been top-two primary results from 2022 that can suitably replace a partisan lean index - Alaska, California, and Washington, so AK/CA/WA adjusted (for primary-general swing) primary results MOSTLY replace the partisan lean index in those states. However, a partisan lean index is on its own not a good way to forecast elections, so that's why I've also used; As for the polls, it's a little more simple; polling data simply uses a weighted average of every poll based off of recency. Recency weight is also adjusted for situations where there's less than 10 polls. Poll margins are also edited based off if they're a Democratic or Republican internal polls, since internal polls are usually 5 points more biased toward the surveying party.
After the fundamentals and poll margins are calculated, they're weighted together using the amount of polls that have been produced, which produces an exact margin. Once an exact margin is created, a randomizer of +2 to -2 points is ran 250,000 times, and the median margin is used as the neutral year forecast margin. The neutral year forecast margin is then added to the state level environment (which is calculated from the national environment), which produces the official acctuallydavid.com forecast margin for the state.


SOURCES
MorningConsult, FiveThirtyEight, Wikipedia, @OregonMapGuy, Wikipedia, RealClearPolitics, The Cook Political Report with Amy Walter, Inside Elections from Nathan Gonzales, Sabato's Crystal Ball from the University of Virginia Center for Politics, and Split Ticket