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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.
“People are not playing it just as a quick crash game,” Yashin says. “They play it more like they are betting. It is a different pattern.”
Creating that constant variety presents an obvious problem. A casino game requires random outcomes, but a library of pre-recorded videos eventually becomes predictable. Once a player recognises a clip, they could know how it ends.
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Several operators have announced shop closures over recent months, including Entain and Flutter, citing a rising tax burden.
Online casino games remained the largest segment of the remote market, generating £5.7 billion ($7.6 billion) in GGY, with slots accounting for £4.8 billion ($6.4 billion) of that total.
Remote sports betting generated £2.4 billion ($3.2 billion), led by football at £1.2 billion ($1.6 billion) and horseracing at £769.3 million ($1.03 billion).
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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.”
