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The biggest wins for Boyd were the Eagles failing to cover (24-20 over the Titans), the Saints winning outright as large underdogs (24-17 over the Ravens), and the Browns topping the Bucs (23-19). For bettors looking to recoup losses, the afternoon slate offered relief, with the 49ers handling the Dolphins (35-13), the Seahawks routing the Cardinals (31-7), and the Cowboys topping the Commanders (37-20).
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Christian Cipollini, senior trading manager at BetMGM, noted that heading into Sunday’s games, sportsbooks needed key underdog covers to offset a strong Week 1 for public bettors. Getting outcomes from the Browns, Saints, Titans, or Dolphins provided much-needed relief to the house.
In the end, Week 1 and Week 2 could hardly have been more different, said Joey Feazel, head of football at Caesars Sportsbook.
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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.
A 40% weekly increase at Crypto.com combined with the attrition at Kalshi may reflect the enormity of the Robinhood deal, according to Kelley.
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While this initially seemed terrifying, I quickly discovered that this outsider status was a gift. It has allowed me to view the industry through fresh eyes. I do not have any preconceptions about companies or products. This has become my superpower, allowing me to analyse the industry without bias and, hopefully, help shape its future.
iGaming was not the industry I set out to work in. Before 2021, I worked in finance and business – agro companies, management consultancy and investment funds, none of which were remotely linked to the industry.
In 2021, I joined an investment fund focused on startups harnessing AI and machine learning. In the process, I had a chance encounter with an iGaming investor. This sparked a conversation that would change the course of my career. He pointed out that iGaming was dramatically underutilising its data potential. There was an opportunity here, and once we began exploring it, the thread just kept unravelling.