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Prediction markets win big on election night

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Cite

Angelo, J. (2026, November 4). Prediction markets win big on election night. Semafor. https://www.semafor.com/article/11/04/2026/prediction-markets-win-big-on-election-night

Dated from the outlet's own feed. Check the original for its byline.

Semafor · collected 2026-11-04 · by Jake Angelo

Quick Summary

Prediction markets like Kalshi and Polymarket accurately forecasted the Democratic sweep in the midterms, outperforming traditional polling methods on several key races but missing some surprises such as Texas Governor Abbott's defeat. Trading volume for down-ballot elections increased nearly fivefold from the 2024 cycle to this year’s midterms, reaching $1.8 billion according to Semafor analysis. Prediction market platforms are expanding their reach through partnerships with media outlets and aggressive advertising campaigns aimed at sports-betting audiences.
Written by AI on 2026-11-04, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Prediction markets emerged as significant winners during the 2026 midterm elections, accurately forecasting key outcomes such as the Democratic sweep of Congress and several battleground races more precisely than most traditional polling models. However, they failed to predict surprises like Texas Gov. Greg Abbott's loss and unexpected Senate victories for Democrats in Iowa and South Carolina. Trading volume on down-ballot elections grew nearly fivefold from the 2024 cycle, reaching $1.8 billion this year. Despite their growing influence, sports and crypto bets still dominate both platforms compared to election contracts. Prediction market companies like Kalshi have been expanding their reach through partnerships with media outlets and aggressive advertising campaigns, including spots on Meta that rival super PAC spending.

Written for “Prediction Markets Win On Election Night” on 2026-11-04, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 128864 · logged 2026-11-04

Story

📰 Prediction Markets Win On Election Night
Politics · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 14% of its claims. Each row says how that neighbour differs.
The Guardian
⚖️ Leans left Hedges 6 of 68 claims Outlet record 66/100
“The articles discuss different aspects of prediction markets: one critiques their nature and control by a few traders, while the other reports on their success in predicting midterm election outcomes.”
Los Angeles Times
⚖️ Leans left Hedges 6 of 42 claims Outlet record 95/100
“Article A discusses the context and expectations for the midterm elections, while Article B focuses on how prediction markets performed after the election results were in.”
Times of India
Hedges 3 of 29 claims Outlet record 59/100
“The articles discuss different aspects related to the US midterms but do not describe the same specific incident. Article A outlines potential election outcomes, while Article B focuses on prediction markets' performance during the elections.”
Los Angeles Times
⚖️ Leans left Hedges 6 of 26 claims Outlet record 95/100
“Article A covers voter anticipation and expectations before the elections, while Article B discusses prediction markets' performance after the elections.”
The Independent
⚖️ Leans left Hedges 12 of 33 claims Outlet record 59/100
“Article A discusses corporate sectors bracing for potential shift in power based on upcoming midterm results, while Article B focuses on prediction markets correctly predicting election outcomes after the midterms.”
The Straits Times
⚖️ Leans strongly left Hedges 2 of 11 claims Outlet record 66/100
“Article A discusses voter sentiment and exit polls from the US midterm elections, while Article B focuses on prediction markets' performance during the same election. Although both articles reference the 2026 US midterms, they describe different aspects of the event.”
New York Post
⚖️ Centre Hedges 2 of 9 claims Outlet record 66/100
“Article A focuses on the LA mayor's race prediction shift on Election Day, while Article B discusses overall performance of prediction markets in the midterms.”
The Hindu
⚖️ Leans left Hedges 4 of 27 claims Outlet record 77/100
“Article A discusses early election results and political implications, while Article B focuses on prediction market outcomes and trading volume related to the midterms.”
Fox News
⚖️ Leans strongly left Hedges 0 of 20 claims Outlet record 68/100
“The articles discuss different aspects of the 2026 midterm elections: one focuses on the overall political outcome for parties, while the other discusses prediction market performance.”
The Straits Times
⚖️ Leans left Hedges 4 of 24 claims Outlet record 66/100
“The articles discuss different aspects of the midterm elections: one focuses on overall turnout and Democratic success, while the other covers prediction markets' performance in predicting election outcomes.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
7
sentences that state something as happening or true
Uncertain
14%
1 of 7 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
59/100
Semafor's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Politics
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-11-04 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Semafor · 1509 article(s) · 3 correction(s) detected
Running correction rate · 3 correction(s)

Who wrote this

Jake Angelo
13 article(s) here · 0 carrying a prediction
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🔮 “They wanted to see if AI could help fill that gap at a cheaper price,” he said.
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Also by Jake Angelo
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 13 articles by Jake Angelo →

Topics

Congress Democratic Kalshi Polymarket Texas

Subjects

Kalshi ORG · 3× Democratic NORP · 2× Polymarket ORG · 2× Congress ORG · 1× Greg Abbott PERSON · 1× Iowa GPE · 1× Semafor ORG · 1× Senate ORG · 1× South Carolina GPE · 1× Texas GPE · 1×

Narrative

Kalshi and Polymarket correctly called the Democratic sweep of Congress by wider margins than most polling models, as well as key battleground races, though they missed surprises like Texas Gov. Greg Abbott’s loss and Democratic Senate victories in Iowa and South Carolina.
framing: assertive · carried by 1 article(s) · first seen 2026-11-04
2026-11-04 · Semafor
Prediction markets win big on election night · assertive framing

Claims (7 extracted, 1 hedged)

Prediction markets emerged as big winners of the midterms. asserted
markets → emerge → midterms
Kalshi and Polymarket correctly called the Democratic sweep of Congress by wider margins than most polling models, as well as key battleground races, though they missed surprises like Texas Gov. Greg Abbott’s loss and Democratic Senate victories in Iowa and South Carolina. asserted
they → call → Iowa
Trading volume on down-ballot elections grew nearly fivefold from the 2024 cycle to this year’s midterms to $1.8 billion, according to a Semafor analysis of the sites’ public data feeds. uncertain
volume → grow → feeds
Sports and crypto bets still dwarf election contracts across both platforms, and the 2026 midterms attracted less trading interest than the presidential race. asserted
midterms → dwarf → race
Prediction markets have been racing to win over the sports-betting and gambling industries’ customers, executing aggressive ad campaigns to expand their influence. asserted
markets → race → influence
Kalshi has struck business partnerships with media outlets including CNN and Dow Jones, and its ad campaign on Meta rivals super PAC spending; Kalshi and Polymarket have also aired a slew of star-studded ads. asserted
Kalshi → strike → ads
But it’s one thing to bring in revenue, it’s another to do what the prediction markets say they do well: predict. asserted
they → ’ → what
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