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NFL Calls on Prediction Market Apps to Ban 'Objectionable Bets'
The league says bets on injuries, officiating and other easily manipulated events threaten game integrity and create risks for players and officials.
- On Thursday, the NFL sent a letter to prediction markets Polymarket and Kalshi, requesting they "prohibit offering objectionable bets that threaten the integrity of our games," according to a letter obtained by ABC News.
- Concerns regarding fan safety, player misconduct, and injury status reports—specifically who is "in and out"—prompted the league's second formal request this year after an earlier letter in 2026.
- Exchanges currently list contracts the league labeled "easily manipulable by single person," including bets on missed field goals, incomplete passes, and the total number of officiating flags thrown during games.
- NFL chief compliance officer Sabrina Perel stated, "It is deeply concerning that bets within the objectionable categories that we identified months ago have been and continue to be listed as contracts on exchanges."
- The prediction market industry faces a nationwide legal battle, with New Jersey petitioning the Supreme Court to regulate or ban such services, even as some MLB teams recently adopted Kalshi as an official partner.
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NFL remains strongest skeptic of prediction markets among US leagues
The league that Americans bet on the most appears to harbor the most serious concerns about prediction markets, as evidenced by the NFL‘s latest push to remove certain bet types from Kalshi, Polymarket and others. While MLB and the NHL align with prediction markets through leaguewide partnerships, the NFL on Thursday wrote to operators reiterating […]
NFL urges prediction markets to drop contracts
The NFL is again asking designated contract markets to pull several types of football-related prediction contracts, making another push as… Continue reading NFL renews push to remove football contracts from prediction markets exchanges
·San Francisco, United States
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Total News Sources12
Leaning Left3Leaning Right0Center5Last UpdatedBias Distribution62% Center
Bias Distribution
- 62% of the sources are Center
62% Center
L 38%
C 62%
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