Sports is a game of numbers. Wharton experts Eric Bradlow, Shane Jensen, Cade Massey, and Adi Wyner team up to tackle the world of sports, from current events to longstanding issues such as: What sports streaks are the most impressive? How do you rank the best players? Can athletes be compared across sports? Moneyball explains how decision-makers in the game can avoid the common mistakes and embrace the data. Episodes are recorded at the Wharton School.

Aaron Schatz, national NFL analyst at ESPN and chief analytics officer at FTN Fantasy, breaks down 2026 NFL projections, the teams poised to rise, and the factors that shape a season forecast.
Travis Sawchik, baseball analytics writer and author, explains why pitch counts miss the full picture of pitcher workload and fatigue.
Dean Oliver analyzes Philadelphia’s star-heavy roster, player fit, chemistry, defense, and championship potential.
Author David Epstein discusses creativity, performance, and the value of broad athletic development.
Eric Eager explores randomness, competitive balance, and what sports analytics reveals about winning.
Jonathan Pipping explains how XG+ captures the scoring opportunities traditional soccer analytics can miss.
Analytics leader from a Major League Soccer club examines the expanded World Cup format, standout teams, tournament surprises, and how data shapes soccer decision-making.
Leading sports data journalist explores how analytics, team chemistry, and randomness shaped recent championship runs and major international tournaments.
Leading soccer analyst discusses World Cup contenders, U.S. national team expectations, and the growing impact of analytics on the global game.
Leading investment executive and sports analytics researcher discusses how statistical models can separate skill, luck, and competitive depth across major sports leagues.