Sportradar, Kalshi Sign Multi-Year Global Data Deal for Sports Prediction Markets
Updated
Updated · GlobeNewswire · Jun 8
Sportradar, Kalshi Sign Multi-Year Global Data Deal for Sports Prediction Markets
3 articles · Updated · GlobeNewswire · Jun 8
Summary
A multi-year global agreement makes Sportradar an official data and solutions provider for Kalshi, supplying sports content and services across leagues including MLB, NHL, MLS and UFC.
Official data and live odds will power pre-game and in-play markets, with both companies saying the setup should speed trade settlements and improve market efficiency.
Sportradar will also provide integrity tools including UFDS AI and its Integrity Exchange, while gaining the ability to strike separate deals with Kalshi brokers and market makers.
The partnership extends Sportradar beyond traditional sports betting into regulated prediction markets, which both companies framed as a fast-growing new channel for sports data and fan acquisition.
Can Sportradar’s AI truly prevent insider trading scandals in the multi-billion dollar prediction market industry?
With Robinhood now a rival, is this data partnership Kalshi's secret weapon to win the prediction market war?
Can this data deal finally settle the debate: are prediction markets finance or just a new form of sports betting?
The 2026 Sportradar-Kalshi Partnership: Powering the Next Generation of Regulated Prediction Markets
Overview
In June 2026, Sportradar and Kalshi announced a multi-year global data deal that positions Sportradar as the official data and solutions provider for Kalshi’s prediction markets. This partnership enables the growth of prediction markets by delivering real-time official data, live odds, and fan engagement tools, which are crucial for accurate market pricing and settlement. A key feature of the deal is Sportradar’s integrity monitoring, ensuring fair play and maintaining trust within the market environment. By combining reliable data services with a robust integrity framework, the collaboration sets a new standard for transparency and user confidence in prediction markets.