LA Restaurant Group Hedged $60,000 on Kalshi Against a Short Dodgers Run

An unnamed Los Angeles restaurant group running 25 bars put $60,000 on Kalshi to hedge against the Dodgers' abbreviated playoff run — and the trade paid back nearly double after the team fell in the NLCS to the Milwaukee Brewers last week.

The hedge worked. Kalshi told Fortune the group, which operates several bars near Dodger Stadium, structured the position around the team missing the World Series. Once the Dodgers lost, the payout helped the business recoup revenue it would have earned from extra home games.

That's a single example of a broader shift: prediction markets are moving past sportsbook status and into small-business risk management.

What does the hedge actually look like?

Kalshi classified the trade as a yes-or-no contract on whether the Dodgers would reach the World Series. When the team lost to Milwaukee, the position paid out almost 2x the original $60,000. The group framed the entire trade as a way to backstop earnings tied to playoff foot traffic.

Joshua Mitts, a Columbia Law professor who studies prediction markets and securities law, told Fortune the structure is "functionally quite similar to a form of bespoke insurance." He added: "You could imagine that there are other risks that businesses face that if there were a market available which functions similarly to the insurance market, then those businesses might want to participate in that kind of a market."

How big has this market gotten?

Trading on prediction platforms doubled between May and July, according to Pew Research Center data:

• Kalshi volume topped $58 billion
• Polymarket volume hit nearly $22 billion
• Sports contracts drove most of the surge

Loose regulation helps. The platforms operate as financial exchanges, not gambling sites, which keeps restrictions light and user onboarding fast.

Are other businesses actually doing this?

Three more cases landed this year, each with different exposures:

• The Jeffrey, NYC. In June, the bar promised to cover every patron's tab up to $100 if the Knicks won an NBA Finals game. It then bet $5,000 on Kalshi; the $13,500 payout left $8,500 in profit after paying tabs.
• An unnamed insurer. Last month, the firm placed five Kalshi trades worth up to $3 million on LSU winning the national championship — sized to match coach Lane Kiffin's bonus structure.
• An LA ice cream shop. Earlier this summer, the owner made nearly half a month's rent — up to $1,500 — by betting on cold-front timing to hedge slow demand.

In August, independent financial economist Lauris Zminsky launched Blanket in partnership with Kalshi, an AI tool that suggests specific yes-or-no markets that could offset a given business risk. He called it "a reasoning tool. It's a discovery tool that funnels you towards Kalshi." Zminsky's pitch: scale Kalshi's insurance-hedging work into a self-service product for any small operator.

Why do the prices actually work?

Dartmouth economics professor Eric Zitzewitz pointed to the sample size. "There's so much data, there's so much repetition, there's so many games all the time that they can be very well-calibrated," he said. He added the fee math is honest: "You'll pay fees when you do that — so you'll be paying something for the insurance you get from these markets — but you should be getting fair underlying prices."

Zitzewitz sees a second use beyond hedging: forecasting. Real-time prediction-market trades on future Amazon credit-card receipts, for example, could give an e-commerce retailer a tighter read on consumer spending than macro data. "It's probably a better signal for you than GDP growth," he said. "And it's certainly fresher."

What's the catch?

Mitts warned the same looseness that pulls users in could block these platforms from becoming true insurance proxies. Insurers run antifraud operations backed by state regulators; prediction markets do not. "We don't have a small number of companies who are state-regulated and who are doing things in very organized ways," he said. "This is a bit of a free-for-all."

That gap — high signal, low guardrails — will decide whether a $60,000 restaurant hedge stays a clever stunt or becomes standard operating procedure for Main Street risk desks.