LiveScore Partners with X For Real-Time Predictions and AI

London, 18 September 2025 – LiveScore Group has announced a strategic partnership with X (formerly Twitter) and its AI-focused subsidiary, xAI, aimed at enhancing its sports media and betting offerings through real-time data and artificial intelligence. The collaboration marks a significant step for LiveScore as it seeks to integrate cutting-edge AI technologies into its platforms, combining the immediacy of social media data with advanced analytical tools to deliver more personalized and responsive experiences to its users.

Developments

Under the agreement, LiveScore will gain access to X’s data and content application programming interfaces (APIs), enabling the company to capture large-scale conversations on sports, track fan sentiment, and monitor breaking news in real time. This access will allow the operator to not only observe trends and discussions as they unfold but also analyze the mood and engagement patterns of sports fans worldwide. By doing so, LiveScore can anticipate what content resonates most and tailor its media and betting products accordingly.

The company said this capability will allow it to deliver more “immersive” sports experiences across its LiveScore and LiveScore Bet platforms. Potential applications include instantaneous delivery of news, influencer commentary, and fan sentiment analysis. Additionally, LiveScore plans to introduce new engagement tools such as bet-slip and prediction sharing directly via X, enabling fans to interact with content and each other in real time. Improved automated customer support is also on the horizon, with AI-powered responses set to provide faster and more accurate answers to fan inquiries, enhancing overall user satisfaction.

From a commercial perspective, the partnership is expected to support the development of “smarter” trading models for LiveScore Bet. By analyzing real-time sports developments and social media conversations, these models could optimize betting odds dynamically, increasing both bettor value and retention. This approach signals a broader trend in the industry, where social media analytics and AI-driven insights are increasingly used to inform trading strategies and operational decisions.

Sam Sadi, CEO of LiveScore Group, described the partnership as transformative for global users. “By partnering with X and xAI, we are unlocking the ability to combine the world’s most dynamic real-time content platform with our mission to converge sports media and betting,” Sadi said. “This will redefine how fans experience live sport, empower new forms of interaction, and set a bold new direction for the future of our industry.” Sadi emphasized that the integration of AI and social data would allow LiveScore to respond more quickly to live events, providing both fans and bettors with more timely and relevant insights.

LiveScore Group’s partnership with X and xAI will enable real-time access to sports conversations and fan sentiment, enhancing media experiences, AI-driven betting insights, and customer engagement.

Broader Context

Christopher Park, director and global lead of developer platform at X Corp, highlighted the wider potential of the collaboration. “This partnership shows how X and xAI can empower forward-thinking companies to harness real-time data and AI to disrupt industries and deliver transformative experiences to users worldwide,” Park said. The partnership illustrates X’s strategy to position itself as a central hub for real-time content and analytics, extending its influence beyond social media into sectors such as sports betting and digital media.

LiveScore Group currently serves more than 100 million users annually across its media and betting platforms. The partnership positions the company to deepen its engagement with fans while leveraging AI to optimize sports trading and content delivery in real time. Analysts note that as sports media and betting increasingly converge, the ability to integrate social media insights and AI-driven analysis could provide a competitive edge. However, they also caution that the effectiveness of such tools will depend on the platforms’ ability to translate vast amounts of data into actionable insights without compromising user trust, privacy, or data security.