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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.

“If we just sold the data to Kalshi in order to list the markets but no one was coming in and placing liquidity, there’s no point in them listing the markets,” Monk said. “We also need to supply the data to the market makers to inform their models.”

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A major advantage for traditional sportsbook operators is their ability to aggressively fund customer acquisition and retention bonuses. As EKG points out, prediction markets have “less ability to be generous with bonuses” because users trade against one another rather than against the house.

That creates a stark contrast during peak football season when traditional sportsbooks spend heavily on promotions. Offers ranging from $350 to $365 from major operators make the $25 to $50 promotional matches typically seen on prediction markets appear modest by comparison.

“That said, channel checks indicate prediction markets are spending heavily on digital marketing, including app stores and pay-per-click advertising, which could make our forecast look conservative by the end of the season,” EKG concluded.

What is Baccarat - Casino Card Game?

When Spain captain Rodri lifted the Fifa World Cup trophy at MetLife Stadium in New Jersey in July, a nation celebrated its team’s return to the summit of world football. Across five weeks and eight matches, Spain had proved itself the best team on the planet, overcoming its strongest rivals to claim the trophy for a second time.

As Spain celebrated the successful end of their campaign, Kambi was reflecting on a significant achievement of its own. For the sports betting technology provider, the tournament represented a major technological milestone: its first World Cup traded entirely by AI.

Across 104 matches and more than 100 million bets, AI handled every stage of the pricing lifecycle – from ingesting data and creating the offering to managing liabilities and settling bets. The platform recorded zero downtime, delivered an operator trading margin of 18% and, during the final alone, processed more than one million unique bet combinations.