What Can the Sports Betting Industry Teach About Building Predictive Models?

In this contributed article, Dr. Darryl Woodford PhD, CTO at Cipher Sports, shares his insights about the key features of a good sports betting prediction model. We’ve already seen how fast and accurate these models can be. In the wagering industry, the next frontier is to apply these recent advancements to in-play and micro-betting markets, requiring another step forward in both data processing and data acquisition.

Podcast: Advances In Sports Analytics: Beyond Moneyball 

When Moneyball was released 20 years ago, audiences could not have imagined the strides data scientists would make in sports analytics in the years to come. In the latest UVA Data Points podcast, expert data scientists discuss how machine learning, wearable technology and computer vision are impacting the future of athlete health and sports analytics.   

How AI Unlocks The Secrets Behind Sports Rehab and CBD

In this contributed article, Scott Mazza, co-founder and COO of Vitality CBD, discusses groundbreaking discoveries in sports rehab, specifically how big data is the differentiator – ML algorithms and AI-powered tools will be invaluable for trawling through scientific literature to find relevant studies as well as combining different datasets.

How Analytics is Changing the Game for Sports – and Academia

In this contributed article, Darin W. White, Ph.D., Executive Director, Center for Sports Analytics at Samford University, discusses how big data has given rise to the sports analytics major at Samford University. He explains how students are leveraging data sets to help sports organizations drive team efficiencies by informing recruitment strategy and in-game decision making and increase revenue primarily by better engaging their fans.

SAP and WTA Launch New Patterns of Play Feature for SAP® Tennis Analytics for Coaches

AP SE (NYSE: SAP) and the Women’s Tennis Association (WTA) announced “patterns of play,” a new feature in SAP® Tennis Analytics software for coaches, which for the first time will allow WTA coaches and players to identify and analyze patterns that unfold during match rallies. Through the patterns of play feature, WTA coaches and players can go beyond single point analysis and can access, customize and compare data and insights following a match to strategize and gain a competitive advantage against their next opponent.

Questions on CDOs and CAOs: Getting harder as the Game Evolves

In this contributed article, Todd Wright, Global Lead for GDPR Solutions at SAS, considers the complexities and related questions that arise around the ever-evolving data landscape.