Floating Dragon Wild Horses

About Floating Dragon Wild Horses

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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HLTV corroborated this, highlighting its editorial tone as adult-oriented.

The ASA reviewed whether the ads were directed at under-18s through their placement or content. Its rules prohibit advertising through media where more than 25% of the audience is likely to be under 18. 

While the audience data did not conclusively define the website’s age demographics, the regulator noted small percentages of under-18s in HLTV’s social channels but found the website’s content and presentation clearly targeted adults.

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“We felt there was a gap for a continent-wide network that could connect organisations, encourage collaboration, and help build a stronger collective voice on player protection. ARGN is not here to replace national organisations or regulators. Its purpose is to support and strengthen the work already being done by bringing people and organisations together.”

But while the ARGN intends to enhance collaboration between stakeholders across the continent, Akolade asserts the aim is to promote “common principles rather than identical regulations”.

Akolade explains: “Every African country has its own legal framework, culture, and level of market development, so a single model might not work everywhere.