Sports Management Experience / Expertise:

I work with sports team, leagues, and organizations to help them achieve commercial success (e.g., ticket pricing, fan engagement, digital strategy, stadium operations, etc.) as well as sport performance success (player investment, algorithmic team composition, performance and injury prediction.).

Teams, leagues, and organizations hire me for expertise and counsel around the use of AI, data, and science-based managerial decision-making.

Affiliations: I am an advisor to Probility.AI, an AI startup that revolutionizes roster optimization by predicting player performance and availability.

Research: I research and explore the use of AI and data models to enhance team success. Specifically, I look at the intersection of player performance, availability, salary, and team success. By empirically understanding how various factors contribute to winning, my work can help GMs and owners make better decisions about how to deploy resources and salary.

Recent talks / articles:

Recent clients / projects (via Kellogg’s Analytical Consulting Lab)

  • National Football League: helping understand the concept of “fandom” and driving new opportunities for commercial success

  • Probility.AI: understanding how NHL line composition affects team success and postseason qualification

  • Chicago Bears: 1) helping improve fans’ digital engagement, 2) informing new concession pricing strategies

  • Chicago Bulls: 1) helping build a digital communications strategy to enhance fan engagement, 2) understanding NBA schedule density and the impact on attendance / revenue

  • NFL team (anonymized): helping understand new-stadium opportunities related to ticket and suite revenue

  • NHL team (anonymized): helping capture new revenue opportunities through merchandise pricing

  • MLS team (anonymized): helping understand event demand and opportunities for increased fan engagement