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Two operators alone – Kalshi and Polymarket – topped the combined $1 billion mark in NFL trading activity over the first six days of Week 1, according to numerous measures this week. During the period, Kalshi recorded NFL volume of $983.4 million, according to DeFi Rate, earning the pole position by a large margin. Mahomes and the Kansas City Chiefs thrashed the Denver Broncos 31-10 on Monday Night Football, capping the largest week for prediction markets ever.

Even before the primetime matchup in Kansas City, it became abundantly clear that the industry would shatter previous marks for weekly activity. The AFC West showdown bolstered the already robust totals. Overall, volume for the week hit a record $15.9 billion, according to Bank of America, up 16% from a week earlier.

The pure-play prediction market-operators, Polymarket and Kalshi, emerged from Week 1 as the clear winners. On one hand, Kalshi’s market share lead narrowed over its competitors, falling to 82% for the week ended 13 September, down from 86% a week earlier.

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The analysts estimated that an operator capturing a one-cent spread and managing its exposure successfully could generate net economics of approximately $1.69 on a $100 trade. Returns are not guaranteed: adverse price movements and unresolved inventory can offset or exceed income from spreads, rebates and liquidity incentives.

The operational infrastructure available to these new firms, however, remains underdeveloped. Gonzalez contrasts prediction markets with equities, where trading businesses can use prime brokers, clearinghouses and standardised systems such as FIX.

“When it comes to prediction markets, none of that exists,” he said. “Everyone that’s building in the prediction market space mostly starts from ground zero.”

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The study highlighted significant gaps between operator disclosures and genuine player comprehension.

The Commission’s investigation into what constitutes “informed choice” in gambling involved a multi-method approach. 

Researchers conducted a rapid desk review of 53 relevant sources, three deliberative focus groups segmented by gambling product type (sports betting, online casino/slots and land-based gambling) and four in-depth interviews with people identified as being at higher risk of harm (Problem Gambling Severity Index (PGSI) score of 8 or more).