TangentialPoliTiKingLive
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Elections 2019 ·

Trump’s endorsement scorecard

Every candidate Trump endorsed for 2019 in his own posts, and how each race went: his words with a link to every post, and every result with its source.

Picks found with AI help · his words checked word for word

Results last checked

His record · 2019

He endorsed 8 people in 2019. 2 lost.

  • Won 6
  • Lost 2
  • Through 0
  • Waiting 0
  • Out 0
Primaries and runoffs
6–0
The main vote
6–2
Close ones
2–1

Election Day was Tuesday, November 5, 2019. Won and lost count every vote: a primary loss is a loss.

By state

Won–lost in each state. Tap a state to see only its picks.

  • Won
  • Lost
  • Through
  • Waiting
  • Out
Every state, as a list
  • Kentucky 2 picks: 1 won, 1 lost
  • North Carolina 2 picks: 2 won, 0 lost
  • Pennsylvania 2 picks: 2 won, 0 lost
  • Mississippi 1 pick: 1 won, 0 lost
  • Virginia 1 pick: 0 won, 1 lost

Every pick, 8 candidates

  1. GovernorLost

    Matt Bevin R

    Governor · Kentucky · incumbent

    1. PrimaryWon52.4% · +13.4 pts · beat Robert Goforth
    2. NovemberLost48.84% · −0.4 pts · lost to Andy Beshear

    Result from 2019 Kentucky gubernatorial election

    He posted it on X. The link opens his post there.

  2. State legislatureLost

    Geary Higgins R

    State Senate · Virginia, 13th district

    1. PrimaryWon65.3% · +30.8 pts · beat Ronald Meyer Jr.
    2. NovemberLost45.64% · −8.6 pts · lost to John Bell

    Result from 2019 Virginia Senate election

    He posted it on X. The link opens his post there.

    Endorsed On X
  3. GovernorWon

    Tate Reeves R

    Governor · Mississippi

    1. PrimaryWon48.9% · +15.5 pts · beat Bill Waller Jr.
    2. RunoffWon54.1% · +8.2 pts · beat Bill Waller Jr.
    3. NovemberWon51.91% · beat Jim Hood

    Result from 2019 Mississippi gubernatorial election · Found with AI help

    He posted it on X. The link opens his post there.

  6. HouseWon

    Fred Keller R

    U.S. House · Pennsylvania

    1. PrimaryWon44.9% · +15.9 pts · beat Maurice Brubaker
    2. Special electionWon68.1% · +36.2 pts · beat Marc Friedenberg
    3. NovemberWon67.7% · +35.4 pts · beat Jennifer Rager-Kay

    Result from Fred Keller (politician)

    He posted it on X. The link opens his post there.

  7. StatewideWon

    Daniel Cameron R

    Attorney General · Kentucky

    1. PrimaryWon55.4% · +10.8 pts · beat Wil Schroder
    2. NovemberWon57.8% · +15.6 pts · beat Greg Stumbo

    Result from 2019 Kentucky Attorney General election

    He posted it on X. The link opens his post there.

    Endorsed On X
  8. LocalWon

    Megan King

    Superior Court Judge · Pennsylvania

    1. PrimaryWon35.59% · +2.1 pts · beat Christylee Peck
    2. NovemberWon25.41% · −0.4 pts · beat Daniel McCaffery

    Result from 2019 Pennsylvania elections

    He posted it on X. The link opens his post there.

    Endorsed On X

Every year

ElectionPicksWonLost% lost
Midterms 2026395720–
Elections 2025126440% so far
Election 20242902285820% so far
Elections 202374233% so far
Midterms 2022118833228% so far
Elections 20211100%
Election 20201881354726% so far
Elections 201986225%
Midterms 201874383346% so far
Elections 2017201100% so far
Election 20161100%
Elections 2013100–
Election 2012101100%

How this page is made

Newsdesk, the newsroom tool behind the show, reads every one of Trump’s posts for endorsements (“Complete and Total Endorsement” and the like). Claude, an AI model made by Anthropic, picks out who and for which race, and a pick only counts once its quote is found word for word in his post. Every pick links to his posts.

Results come from Wikipedia’s election results, which Newsdesk reads itself. For the few races it can’t find there, Claude searches the web, and those say Found with AI help. Races are looked up again the morning after the vote, then every 6 hours for a week, and each result links to its source. A count can still change until it’s certified.

Every race, his or not, comes from Wikipedia’s pages for the year’s Senate, governor and House elections, where editors mark each winner as the race is called. Newsdesk reads them itself, with no AI, and a call shows here once two reads in a row agree, so one taken back within minutes never shows.