El Koala

What is El Koala?

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.

Still, Kalshi had a nine-fold lead over Polymarket, its next closest rival. Polymarket, meanwhile, led the group with 762,000 app downloads, edging Kalshi, DraftKings and FanDuel in the category. The downloads represented a 13,509% weekly increase and 25% of total category downloads, Polymarket wrote in a statement.

How to play El Koala

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.”

Platforms were generally constructed for one person operating one account, rather than trading organisations requiring separate permissions and controls. According to Gonzalez, some teams still share a single login.

How to play El Koala

“In simple terms, what we have undertaken is a shift from machine-assisted human trading to human-assisted machine trading,” Lamb explains.

The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.

“To this point, sportsbook product creation has largely been guided by a trading department’s ability to profitably price and risk-manage certain bet offers,” Lamb says. “AI trading lifts those limitations, while also enabling that existing human expertise to be leveraged more effectively.”