Podcasts

Pingry School Team Wins 2026 Wharton High School Data Science Competition

2026 HSDSC_winning team photo

Now in its third year, the Wharton High School Data Science Competition – hosted by the Wharton Sports Analytics and Business Initiative (WSABI) and Wharton Global Youth Program – brings together students from around the world to tackle complex problems at the intersection of sports and analytics. The competition this year, which is presented by Google ...Read More

Meet the Ivy League Student Who Wants to Revolutionize How We Quantify a Critical NHL Skill

Trey Elder image

Students from the Wharton community recently showcased their research at the Hockey Analytics & League Operations (HALO) Conference, hosted by the Colorado Avalanche. Among the finalists, Trey Elder (University of Pennsylvania) presented PRESS: A Player-Level Forechecking Metric, co-authored with Jonathan Pipping, introducing a novel approach to measuring forechecking success using large-scale game data. Read More

Pulling the Power Play: A Win Probability Strategy for Mixed Doubles Curling

Curling image (AdobeStock_1634668167)

With the Winter Olympics on the horizon, Penn students Trey Elder, Samen Hossain, and Jonathan Pipping break down the big strategy question in mixed doubles curling: when should teams deploy the Power Play? Their win-probability approach shows that the “right” moment isn’t just about points –– it’s about leverage. Read More

Beyond Expected Goals: A Possession-Aware View of Chance Creation in Soccer

A person with headphones monitors multiple screens displaying sports statistics and a live soccer match in a stadium setting.

Beyond Expected Goals (xG+) redefines how we measure scoring danger in soccer by valuing not just shots—but the moments that create them. By combining the probability of taking a shot with the chance of scoring it, xG+ captures players’ true creative impact, better predicts team performance, and finally gives credit for the skill that happens ...Read More