Supermania

How to play Supermania

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.

The book enjoyed a steady diet of low-scoring primetime games in Week 1, but Week 2 began with an all-you-can-eat touchdown buffet for bettors on Thursday night,” Feazel said. “Seven of the eight most popular touchdown scorers cashed, and the only player who failed to score, DJ Moore, was refunded under Injury Protection.”

About Supermania

Marantelli says the London-based White Swan is a significant market maker on several secondary exchanges, accounting for as much as 40% of activity on some platforms. Its particular focus is the RFQ, parlay market.

“Just better margins,” he says of that decision. “I think it’s more defendable. It’s the area that fewer people can do well. So I think it’s more defendable margin, more ability to get long-term contracts and beneficial positions.”

Singles can be profitable, but parlay pricing requires the market maker to calculate the correlations between multiple outcomes and respond dynamically to individual requests. It is a skill set built over years in the sharper regions of the existing sports betting ecosystem.

About Supermania

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.

Kambi had set itself the ambitious target of delivering the entire tournament through AI. By the time Spain lifted the trophy, it had provided compelling evidence that automated trading could withstand the scale and intensity of sport’s biggest betting event while improving the experience offered to operators and their customers.