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The investment banking and capital markets firm Jefferies said in a September report that sports had become prediction markets’ “most important liquidity driver”, with combo and parlay-style contracts accounting for an increasing share of activity. But the analysts cautioned that prediction markets are scale businesses with relatively low revenue yields, leaving their economics dependent on sustained liquidity, engagement and trading activity.
James Monk, founder of sports data and streaming provider Catalist Sports, has witnessed that dependence directly. Catalist supplies ITF tennis data to Kalshi and Polymarket and has an exclusive US sports-streaming agreement with Kalshi.
The company must also provide data to the firms making markets on those events.
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The competition between prediction markets and sportsbooks is intense and there is some evidence that the former is encroaching on the latter’s customer base.
A survey by Fullstory, a behavioral data analytics company, says that amid the evolution of yes/no exchanges, 60% of bettors said prediction markets are altering how they use sportsbooks with 35% admitting that they’ve reduced usage of traditional sports wagering platforms as access to sports event contracts increased.
“Consumers are being presented with more options for how they can participate in online gaming, creating a more competitive landscape where a seamless digital experience is increasingly becoming part of the value proposition,” said Jason Wolf, president of Fullstory, in a statement. “The brands that understand how consumers are navigating, comparing, and engaging with their platforms in real-time can identify where friction is getting in the way of trust and retention.”
