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Across the market, operators delivered high double-digit gains compared with Labor Day weekend, which featured a full slate of college football games but no NFL contests. Two operators, DraftKings and Underdog each saw triple-digit growth, delivering weekly increases of 125% and 119%, respectively. Three others, Polymarket, Crypto.com and Novig, saw gains of at least 30%, led by Polymarket with a weekly increase of 46%.
One interesting nugget surrounds weekend figures at Kalshi, where volume on Sunday only surpassed prior daily activity by $34 million, BofA data shows. Typically, Sunday volume for the quarter dwarfs that of College Football Saturdays due to the voracious demand for NFL offerings. BofA analyst Shaun Kelley attributes the irregularity to the possibility that Kalshi is “over indexing” on college sports.
Kelley also cited improvements at Robinhood as a possible factor for the regression at Kalshi. Just before the NFL season, Robinhood took a minority stake in Crypto.com and struck a deal to begin routing NFL contracts to OG.com, the site’s regulated prediction market platform.
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Two other leagues, Major League Baseball and the National Hockey League, have each signed a Memorandum of Understanding with the CFTC that allows participating teams to partner with the operators.
“We don’t think we have to be first in this, we feel like we’re going to be right,” Goodell said. “The best thing to do is be patient and make sure you keep the integrity of the game number one.”
Matt is primarily responsible for long-form feature coverage on complex sports betting scandals. He also provides coverage on finance, M&A and other technological developments.
About Pool Shark
“Our role as a regulator is not to stand in the way of innovation, but to help create the certainty and confidence needed for innovation to flourish responsibly,” Mizzi said.
The charter does not create new regulatory obligations and was designed to complement legislation including the EU AI Act and GDPR.
Instead, it proposed a risk-based approach. It suggested lighter controls on use cases such as coding assistants, but strong checks on customer-facing functions, particularly those involving fraud and responsible gambling.
