The MVPs of data analytics

The MVPs of data analytics Johns Hopkins University
Summary generated by RabbitReport AI from public reporting. The full article and original reporting belong to Johns Hopkins University.

The MVPs of data analytics Johns Hopkins University
Summary generated by RabbitReport AI from public reporting. The full article and original reporting belong to Johns Hopkins University.
Axis Bank has partnered with the GoSports Foundation to establish the Axis Bank-GoSports Foundation The Performance Institute (AGTPI) in Bengaluru. Located at the Centre for Sports Excellence, this initiative aims to bolster India’s high-performance sporting ecosystem through sports science, research, and data-driven analytics. The project represents a strategic shift toward indigenous, evidence-based training methods to improve athlete performance and talent identification across the country.
July 1, 2026Trading volume on leading prediction markets Kalshi and Polymarket has experienced a dramatic surge, reaching a combined $24 billion in April 2026. This growth represents a significant shift in the speculative landscape, with monthly volumes now exceeding the $14 billion average wagered through traditional U.S. sportsbooks in 2025. For the sports and analytics sector, the rise of these platforms introduces a new layer of data-driven forecasting that competes directly with traditional betting markets for liquidity and consumer attention.
June 29, 2026Data science students at the University of Arkansas have officially launched Hog Charts, a new application dedicated to sports analytics. The platform represents a growing trend of academic institutions developing proprietary tools to analyze athletic performance and fan engagement. This initiative highlights the increasing integration of data science education with practical applications in the competitive sports technology market.
June 26, 2026Researchers at Northeastern University’s Network Science Institute have established NetSI Sport, a group dedicated to modeling athletic performance through the lens of network science and linguistics. By analyzing a dataset of 17,000 soccer matches, the team identifies unique "structural signatures" that define how teams and individual players interact during a game. This research provides the sports analytics industry with new tools to quantify team synergy and predict tactical outcomes across various sports, including soccer, tennis, and e-sports.
June 26, 2026