Sportradar and Kalshi Sign Non-Exclusive Data Deal Covering MLB, NHL, MLS and UFC
Sportradar has announced a global partnership with prediction market operator Kalshi. The agreement gives Kalshi access to Sportradar’s official data feeds for Major League Baseball, the National Hockey League, Major League Soccer and the Ultimate Fighting Championship. The deal is non-exclusive and runs for multiple years with many financial terms undisclosed.
This arrangement stands out because Sportradar can sublicense its data directly to Kalshi’s clients. Those clients include bookmakers and market makers. The move could help build a wider ecosystem for sports-related prediction markets.
Non-Exclusive Access and Sublicensing Mechanics
Kalshi will receive Sportradar’s official data feeds for the four leagues listed. The non-exclusive nature means both parties can strike similar arrangements elsewhere. Neither company disclosed the exact duration beyond calling it multiple years.
The sublicensing provision lets Sportradar supply the same data feeds straight to Kalshi’s downstream customers. Bookmakers gain another compliant data source. Market makers get feeds that can sharpen pricing models without building everything in-house.
After eighteen years across iGaming and sportsbook operations I see sublicensing as a practical bridge. Operators on the supplier side have pushed this model in regulated betting for years. It lowers integration friction while preserving control over the data.
Carsten Koerl, Sportradar chief executive officer, said: “We look forward to working with key prediction market participants as the landscape matures, establishing the trusted, compliant framework for sports innovation just as we have successfully delivered in online sports betting.”
Analyst Views on Revenue and Cash Flow Potential
J.P. Morgan’s Samuel Nielsen highlighted the sublicensing component. He described it as a door to more complex agreements in the prediction market space. Nielsen estimated that a small percentage of Kalshi’s trading volume could deliver tens of millions of dollars in annual revenue for Sportradar.
His longer-term view placed the opportunity at as much as $100 million in revenue and $30 million in cash flow. These figures assume the partnership scales. The current deal excludes NBA data although that could change with league approval.
David Katz at Jefferies took a more measured stance on immediate impact. He expects only modest financial contribution this year with more meaningful benefits arriving in 2027 and beyond. Katz believes the real upside sits with services sold to market makers which he sees as potentially larger than the exchange business itself.
Both analysts point to the same pattern. Data partnerships compound when multiple client types tap the same feed. The numbers remain estimates but they frame the commercial stakes clearly.
Micro-Betting Implications Inside Prediction Markets
The expanded data access could support micro-betting-style products on Kalshi. Prediction markets already price discrete outcomes. Adding granular league data opens the door to shorter time-frame contracts that resemble in-play propositions.
This overlap raises practical questions for operators. Sportsbooks price micro markets with tight risk controls and rapid hedging. Prediction markets rely on crowd liquidity and transparent settlement. The two models can coexist but they pull on different operational levers.
From the supplier side this kind of data integration is what accelerates product experimentation. Bookmakers have used official feeds to launch live betting layers for years. Kalshi’s clients now gain the same foundation without reinventing the pipeline.
Yet the line between prediction markets and traditional gambling remains contested. Broader data access may intensify those debates. Regulators and leagues will watch how micro-style contracts perform in practice.
Risks, Counterarguments and Operational Limits
Not every prediction market participant will rush to sublicense Sportradar’s feeds. Some market makers already maintain proprietary data pipelines or prefer direct league relationships. The non-exclusive structure reduces lock-in risk but it also limits any single partner’s pricing power.
Financial projections carry uncertainty. Nielsen’s $100 million and $30 million figures depend on trading volume growth that has not been guaranteed. If Kalshi’s volumes stay flat or regulatory headwinds appear the realized revenue could fall short.
The absence of NBA data in the initial agreement is another constraint. Basketball drives significant betting handle in many markets. Until that piece arrives the partnership covers only part of the calendar.
Katz’s caution on near-term contribution is worth noting. Partnerships of this type often deliver strategic optionality before they deliver outsized cash flow. Operators should model multiple scenarios rather than bank on the high-end estimates.
The Bottom Line
The Sportradar-Kalshi deal supplies compliant data to prediction markets and their bookmaker and market-maker clients. Sublicensing mechanics lower barriers for integration while the multi-year non-exclusive frame keeps options open on both sides. Micro-betting potential inside prediction contracts could reshape product design but it also invites closer regulatory scrutiny. Operators evaluating these integrations should weigh immediate data access against longer-term volume assumptions and watch how NBA rights evolve. For teams mapping sportsbook and prediction market strategy the full advisory overview is available at our services page.
