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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders.

Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader.

Jun 27, 2018

In this episode of the series, I'm joined by Jennifer Hobbs, Senior Data Scientist at STATS, a collector and distributor of sports data, covering sports like basketball, soccer, American football and rugby.

Jennifer and I explore the STATS data pipeline and how they collect and store different types of data for easy consumption and application. We dig into a paper she co-authored, Mythbusting Set-Pieces in Soccer, which takes a look at the data surrounding free kicks and corner kicks in soccer in an effort to debunk some long-standing myths around various situations. If you’re using machine learning to predict World Cup winners, you’ll definitely want to check this segment out. Finally, Jennifer and I chat about potential projects and applications of machine learning to sports, and the accessibility of sports-specific datasets for hobbyists.

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For more information on the AI in Sports Series, visit