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The comment period opened shortly after several members of a Senate subcommittee alluded to the rise of prediction markets and the subsequent risk of a spike in harassment cases at a May federal sports betting hearing. The hearing, commenced by a US Senate Committee on Commerce, Science and Transportation subcommittee, was held at the Russell Senate Building during the heart of the NBA and NHL Playoffs.
Cruz, who chairs the Senate Commerce Committee, also co-authored the aforementioned Protect College Sports Act with Washington Senator Maria Cantwell. As cloture motion for floor debate of the act began this week, Cruz has expressed optimism that the bill will be signed into law.
The proposed bill seeks to prevent student-athletes from trading on prediction markets, but does not set any explicit standards on player harassment.
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As Macquarie analyst Chad Beynon points out, prediction markets generated $4.3 billion in taker volume during the first week of September without any help from the NFL, building on momentum from the 2026 World Cup. However, the NFL’s impact was immediate, with taker volume hitting a daily record during Week 1 of the campaign.
With all that in mind, it’s not surprising that Macquarie expects sports event contracts will drive approximately 80% of taker volume this year, but Beynon sees other categories growing over the long term.
“We expect non-sports categories such as economics, politics, crypto, and entertainment to gain share over time,” says the analyst.
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“It was still very much a trading kind of UX,” he said of Kalshi at the beginning of the year. “The actual product offering has come a long way.”
Andrew Gonzalez, founder of prediction market infrastructure startup ParlayX, believes the ability of small teams to provide liquidity is one of the sector’s defining features. “Anyone can be a market maker,” he said. “You have these two- or three-man shops.”
Jefferies described market makers as the ecosystem’s “liquidity backbone”. They post executable bids and offers, manage inventory and provide prices when customer activity is heavily weighted to one side.
