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Strip away the language of contracts, order books and event trading and Bernard Marantelli has a blunt description of what is happening inside US sports prediction markets. “Kalshi is a sportsbook that’s just not allowed to have an in-house risk team,” says the founder of White Swan Data, one of the specialist firms now making markets on prediction exchanges.

The difference is all about the risk function. A sportsbook employs traders to price bets and manage its exposure. An exchange provides an API through which firms compete to quote prices and supply liquidity.

“Here’s an API. Bernard and 88 other people can market-make all these request-for-quotes (RFQs),” Marantelli says. “Some people might come in and just do esports because they’re esports experts. Others do everything. Some focus on same-game parlays. But it’s a sportsbook.”

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The committee concluded that current evidence justified taking “meaningful steps” against the sector, including a comprehensive advertising ban, to reduce exposure especially among children and vulnerable groups, and to curb problem gambling.

The report underscored gambling harm as a significant public health concern. It cited the Gambling Commission’s Gambling Survey for Great Britain (GSGB), which has indicated that between one and 1.5 million adults in Great Britain now score high enough on the Problem Gambling Severity Index (PGSI) rangeto indicate problem gambling. 

According to the system used to rank players on the PGSI, a score of 0 or between 1 and 3 is considered low-risk, while scoring between 3 and 7 suggests moderate risk, and a score of 8 or higher represents problem gambling.