Historical Election Results

See retrospective Election Day backtest results for U.S. House, U.S. Senate, and governor races, broken down by rating.

Historical Model Results

A look at how often Solid, Likely, and Lean favorites won—and where Toss-Ups landed—in retrospective Election Day tests of the Model. These are backtests, not the forecasts originally published before those elections.

Results updated .

The big picture

How often did the favorites win?

These percentages are observed win rates within each rating, not the probabilities assigned to future races. A 100% result in this sample does not guarantee future wins; some groups contain only a handful of races.

U.S. House

2016–2024 elections

1,953 races
Solid1,367 of 1,376 favorites won
99.3%
Likely234 of 247 favorites won
94.7%
Lean184 of 230 favorites won
80.0%
Toss-Up100 races; no official favorite
65 R · 35 D

U.S. Senate

2016–2024 elections

165 races
Solid124 of 124 favorites won
100.0%
Likely9 of 9 favorites won
100.0%
Lean11 of 17 favorites won
64.7%
Toss-Up15 races; no official favorite
7 R · 8 D

Governor

2017–2025 elections

104 races
Solid70 of 70 favorites won
100.0%
Likely12 of 13 favorites won
92.3%
Lean12 of 15 favorites won
80.0%
Toss-Up6 races; no official favorite
3 R · 3 D
Toss-Ups are not counted as right or wrong. A Toss-Up means neither party reached a 60% chance. We simply show which party won those races.
How these results were tested

These are walk-forward tests. The Model was tested one election at a time using only results available before that election.

For House and Senate races, 2014 was the baseline: 2016 could use 2014, 2018 could use 2014 and 2016, and so on. Governor races used the same approach. Below are the definitions for each rating.

SolidVery strong favorite: 92% chance or better.

LikelyClear favorite: 80% to under 92%.

LeanNarrow favorite: 60% to under 80%.

Toss-UpNeither party reached 60%, so no favorite was named.