Oodles Of Noodles

About Oodles Of Noodles

Strip away the language of contracts, order books and event trading and Bernard Marantelli has a blunt description of what is happening inside US sports prediction markets. “Kalshi is a sportsbook that’s just not allowed to have an in-house risk team,” says the founder of White Swan Data, one of the specialist firms now making markets on prediction exchanges.

The difference is all about the risk function. A sportsbook employs traders to price bets and manage its exposure. An exchange provides an API through which firms compete to quote prices and supply liquidity.

“Here’s an API. Bernard and 88 other people can market-make all these request-for-quotes (RFQs),” Marantelli says. “Some people might come in and just do esports because they’re esports experts. Others do everything. Some focus on same-game parlays. But it’s a sportsbook.”

How to play Oodles Of Noodles

Takers is a prediction market industry colloquialism for the market participants that swiftly fill buy and sell orders, thus removing liquidity from the marketplace. Conversely, makers are the market participants viewed as liquidity providers and professional or sharp money.

“Recent launches, including customizable same-game parlays (SGPs), further support our view that Prediction Markets (PM) are increasingly converging with traditional sportsbooks,” observes Macquarie analyst Chad Beynon. “As a result, we now estimate total US PM taker volume to reach $190 billion in 2026E (vs $169 billion prior).”

If the research firm’s $190 billion taker volume estimate proves accurate, it’d represent a more than eightfold increase from the $22 billion taker turnover seen last year.

How to play Oodles Of Noodles

However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.

The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.

Speaking at the launch event, MGA CEO Charles Mizzi emphasized that the framework is meant to foster progress rather than stifle it.