Shave The Sheep

About Shave The Sheep

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.

What is Shave The Sheep?

Data Protection Commissioner Maria Christofidou said her office had reevaluated a 2022 legal opinion and now recognised a potential legal basis for more granular access to banking information.

Various MPs voiced concerns about the risk of privacy violations in accessing this data, and the potential social stigma around the information being shared.

Christofidou also floated the idea of issuing GMI recipients with a special card for in-person verification at gambling venues, but several MPs warned this could stigmatise welfare recipients.

What is Shave The Sheep?

“Our role as a regulator is not to stand in the way of innovation, but to help create the certainty and confidence needed for innovation to flourish responsibly,” Mizzi said.

The charter does not create new regulatory obligations and was designed to complement legislation including the EU AI Act and GDPR.

Instead, it proposed a risk-based approach. It suggested lighter controls on use cases such as coding assistants, but strong checks on customer-facing functions, particularly those involving fraud and responsible gambling.