Kalshi World Cup 2026 prediction markets guide released
8 reported
CBS Sports published a guide on July 8, 2026, explaining how to use Kalshi, the Official Prediction Market Partner of the FIFA World Cup 2026, to trade on tournament games. The 2026 World Cup started on June 11 and takes place across 16 cities in the United States, Mexico and Canada. Kalshi offers Yes/No event contracts where users purchase shares of an outcome at a price between $0.01 and $0.99, with correct shares paying out $1.00 per share. The guide includes pricing for key games, such as the quarterfinal between France and Morocco on July 9, and for markets like the World Cup champion and Golden Boot winner. Kalshi is described as a federally-regulated event contract exchange, regulated by the Commodity Futures Trading Commission, and is the largest prediction market trading platform in the United States. The article also provides a promo code for new users to receive a $15 trading bonus after making $15 worth of trades.
What’s reported
The 2026 World Cup started on June 11 and is held across 16 cities in the U.S., Mexico and Canada.
Kalshi is the Official Prediction Market Partner of the FIFA World Cup 2026.
Users purchase shares of an outcome at a price between $0.01 and $0.99; correct shares pay $1.00 per share.
France is favored to win the World Cup at $0.337 per share, followed by Argentina ($0.189), Spain ($0.188), and England ($0.157).
The quarterfinal between France and Morocco kicks off at 4 p.m. ET on July 9 at Boston Stadium.
Kylian Mbappe and Lionel Messi are both priced at $0.41 per share for the Golden Boot.
Kalshi is regulated by the Commodity Futures Trading Commission and is the largest prediction market platform in the U.S.
New users can use promo code CBSSPORTS for a $15 trading bonus after $15 in trades.
Key figures
Kylian Mbappe (reigning Golden Boot winner, France)
Lionel Messi (Argentina, 39 years old)
Erling Haaland (Manchester City striker, Norway)
Harry Kane (England captain, 2018 Golden Boot winner)
Sources: CBS Sports
