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Still, Kalshi had a nine-fold lead over Polymarket, its next closest rival. Polymarket, meanwhile, led the group with 762,000 app downloads, edging Kalshi, DraftKings and FanDuel in the category. The downloads represented a 13,509% weekly increase and 25% of total category downloads, Polymarket wrote in a statement.

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.

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Philip Pietras, 52, admitted to stealing from more than 170 people, many of whom are senior citizens who sought to limit the emotional and financial burdens placed on their loved ones by prepaying for their funerals. But instead of placing those funds, meant for caskets and burial services, in escrow accounts, Pietras pocketed the money to gamble.

Pietras accepted a plea deal from the state, and prosecutors expect him to enter a guilty plea on Oct. 23 and be formally sentenced on Jan. 22, 2027.

Under the terms of the state’s offer, Pietras will admit to stealing his clients’ money for his personal use. In exchange for his admission, the state has recommended a prison sentence of 7.5 years instead of 15 years, followed by five years of probation.

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“In simple terms, what we have undertaken is a shift from machine-assisted human trading to human-assisted machine trading,” Lamb explains.

The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.

“To this point, sportsbook product creation has largely been guided by a trading department’s ability to profitably price and risk-manage certain bet offers,” Lamb says. “AI trading lifts those limitations, while also enabling that existing human expertise to be leveraged more effectively.”