Polymarket Pickleball Betting Launch: Major League Pickleball (MLP), presented by DoorDash, has launched its first betting markets on Polymarket, the world’s largest prediction market platform. The debut coincides with the Toray MLP San Diego Playoffs, held from August 15 to August 17 at Barnes Tennis Center. Polymarket users can now buy and sell shares based on future match outcomes.
What Polymarket Offers
Polymarket lets users predict event results by buying “Yes” or “No” shares. Each share costs between $0.00 and $1.00 in USD Coin (USDC). When the event finishes, shares matching the correct outcome pay out $1.00 each. The platform is available internationally and offers a new way for fans to engage with MLP by betting on teams for the first time in the league’s history.
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Current Markets and How It Works
Four markets are open on Polymarket: Major League Pickleball winner, the teams making the New York City Final Four, Miami Pickleball Club vs. Texas Ranchers first-round match, and Utah Black Diamonds vs. Orlando Squeeze first-round match.
Users fund their accounts with cryptocurrency, credit/debit cards, or bank transfers. There are no limits on bets and no fees. Odds change in real time based on trading activity, making it easy to buy or sell shares at any time.
MLP’s Plans for the Partnership
MLP plans to embed the Pickleballtv broadcast stream of the Toray MLP San Diego Playoffs directly on Polymarket. This will allow users to watch the matches while placing bets, enhancing the viewing experience.
This partnership marks a pilot project as MLP explores ways to offer betting opportunities to a broader audience. The simple design of Polymarket aims to attract pickleball fans interested in prediction markets.
News in Brief: Polymarket Pickleball Betting Launch
Major League Pickleball has partnered with Polymarket to offer betting markets for the first time. Fans can bet on match results during the Toray MLP San Diego Playoffs from August 15-17. Users trade shares in USDC with no fees, and MLP will stream matches on the platform.
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