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His analogy is a poker table at which the weaker participants sustain the game. If those players disappear, the fourth-best professional at the table can suddenly become a loser because only the three strongest remain.
The US addressable market is vastly larger and customer recruitment remains strong. Marantelli says Kalshi increased its number of clients fivefold during the World Cup, while White Swan predicts that NFL prediction markets could generate between $5 billion and $7 billion of liability in a single week.
But he acknowledges the possibility that faster customer losses could eventually test the sustainability of the model.
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The DIA also issued new financial guidance for class 4 operators, with the aim of providing greater clarity on their accounting requirements and an explanation of their obligations.
The department said the guidance had been designed to “improve consistency across the sector and help prevent similar issues from occurring in future”.
In May, an investigation under the title “Operation Turbo” charged an Auckland man on eight counts under the Gambling Act.
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Across markets in Latin America, Europe and Asia, Yashin says the average stakes for swipe games display a pattern closer to sports betting than crash gaming. In one market, the average Swipe Games bet was 20 times higher than the average crash-game bet with the same operator.
Retention has provided another encouraging signal. Depending on the market, Yashin says day-one, day-seven and day-30 retention can range from around the crash-game benchmark to between five and 10 times higher. The number of rounds played during a session can also be significantly greater.
The explanation, he believes, comes back to the behaviour that inspired Swipe Games in the first place. Crash players may experience a different outcome each time, but visually they repeatedly encounter much the same thing. Social media has conditioned its users to expect something new with every swipe.