FIFA World Cup 2026 Adds Blockchain Prediction Platform

Fans watching the 2026 FIFA World Cup quarterfinal between Spain and Belgium on DAZN will have access to a new interactive feature that allows them to make real-time predictions on match events through a blockchain-powered platform integrated into the live broadcast.

The match is scheduled to take place on July 10 at SoFi Stadium in Inglewood, California. During the game, viewers will be able to submit predictions on match results, player performances, and other in-game events using ADI Predictstreet, which serves as FIFA’s official prediction market partner for the 2026 tournament.

The integration enables fans to participate in blockchain-powered, real-time prediction markets directly within DAZN’s streaming platform, combining live sports viewing with interactive digital engagement.

ADI Predictstreet launched its free-to-play platform in June 2026 as part of a strategy to attract a broad user base before introducing additional regulated services through authorized partners. The company indicated that users can initially participate in prediction contests without financial commitments, while those seeking enhanced features may later access regulated offerings where available under local laws.

Participants can also compete on leaderboards for rewards, including opportunities to win tickets to FIFA World Cup matches. The initiative is intended to increase fan engagement by allowing viewers to interact with live matches beyond traditional viewing experiences.

The platform operates on ADI Chain‘s blockchain infrastructure, with the ADI token serving as the network’s native digital asset. The token is used to process gas fees and facilitate transactions across the ecosystem. As a result, prediction submissions, leaderboard updates, and prize distributions are processed through the blockchain network using the token.

The partnership represents another step in DAZN‘s broader adoption of blockchain technologies. The sports streaming platform has previously explored digital asset initiatives through partnerships and blockchain-related projects, but the latest integration places blockchain functionality directly within its live sports broadcasts rather than using it primarily for promotional purposes.

The collaboration provides DAZN with additional audience engagement tools while giving ADI Predictstreet exposure to a global sports audience during one of the world’s largest sporting events. The arrangement also reflects FIFA’s growing interest in adopting emerging digital technologies that can enhance the fan experience without altering the core competition.

The announcement comes as blockchain-based prediction markets continue to gain visibility among major organizations. Industry observers have noted that partnerships involving globally recognized sporting events could contribute to wider acceptance of blockchain-powered interactive platforms, particularly when they operate within established regulatory frameworks.

However, the expansion of prediction markets remains subject to varying regulatory requirements across jurisdictions. Rules governing these services differ significantly from one country to another, meaning features available in one market may not necessarily be accessible elsewhere. Companies operating in this sector are therefore expected to tailor their offerings to comply with local regulations.

The introduction of blockchain prediction markets into a FIFA World Cup broadcast highlights the increasing convergence of sports, blockchain technology, and interactive digital entertainment. As streaming platforms seek new ways to retain viewers and improve engagement, blockchain infrastructure is emerging as a tool capable of supporting secure, transparent, and real-time participation.

The partnership underscores the growing institutional acceptance of compliant blockchain-based prediction platforms, signaling broader adoption of decentralized technologies in mainstream sports entertainment while emphasizing regulatory compliance across global markets.

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