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Across the market, operators delivered high double-digit gains compared with Labor Day weekend, which featured a full slate of college football games but no NFL contests. Two operators, DraftKings and Underdog each saw triple-digit growth, delivering weekly increases of 125% and 119%, respectively. Three others, Polymarket, Crypto.com and Novig, saw gains of at least 30%, led by Polymarket with a weekly increase of 46%.

One interesting nugget surrounds weekend figures at Kalshi, where volume on Sunday only surpassed prior daily activity by $34 million, BofA data shows. Typically, Sunday volume for the quarter dwarfs that of College Football Saturdays due to the voracious demand for NFL offerings. BofA analyst Shaun Kelley attributes the irregularity to the possibility that Kalshi is “over indexing” on college sports.

Kelley also cited improvements at Robinhood as a possible factor for the regression at Kalshi. Just before the NFL season, Robinhood took a minority stake in Crypto.com and struck a deal to begin routing NFL contracts to OG.com, the site’s regulated prediction market platform.

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Bitcoin SV, big data and the Internet of Things – This article recaps a few of the large non-gaming enterprises that have integrated or are starting to integrate Bitcoin SV into their operations. Notably EHR Data, a data driven health services company, and UNISOT, a global supply chain company have already found success with Bitcoin SV. 

Bitcoin Association – Enterprise Use Cases -The Bitcoin Association put together a resource detailing several ways BSV is already helping businesses make use of cheaper and faster payments

eSports and Bitcoin SV are a natural match -This article discusses the eSports and blockchain technology. Kronoverse CEO Adam Kling discusses why his company chose to build their new turn-based combat strategy game on Bitcoin SV. One key advantage cited was that their games didn’t need a second layer to interface with the blockchain allowing for real-time wagering on matches, with an auditable trail of transactions and game decisions.

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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.