Moneyball
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.
Our Latest Episodes
Podcast
The Social Power of Sports Fandom
Todd Rogers, Weatherhead professor of public policy at Harvard Kennedy School, explores how sports fandom can build connection, reduce loneliness, and strengthen communities.
Podcast
Inside MLB’s New Strike Challenge System
Joe Martinez, MLB vice president of on-field strategy, explains how the automated ball-strike challenge system balances accuracy, pace, and player strategy.
Podcast
The Analytics Behind Baseball’s Small-Market Success
Mike Petriello, Major League Baseball’s director of stats and research, explains the swing data, player development, and matchup decisions changing how teams compete.
Podcast
The Data Behind College Football’s New Era
Ron Yurko, director of the Carnegie Mellon Sports Analytics Center, explains how data is reshaping the Heisman race, college football forecasting, and sports betting.
Podcast
The NHL Salary Cap Surge Is Changing Team Building
Samuel Ventura, vice president of hockey strategy and research for the Buffalo Sabres, explores how a rapidly rising salary cap is changing roster construction, contracts, and player valuation.
Podcast
Why NFL Teams Need a Better Backup Plan
Neil Paine, sports writer and data analyst, examines how NFL teams can withstand quarterback injuries, why MLB playoff seeding is misaligned, and what it takes for an injured champion to return to form.
Podcast
The Signals That Matter After NFL Week 1
Tej Seth, data scientist, explains how to separate meaningful NFL Week 1 trends from the noise behind early results.
Podcast
Is This NFL Season More Wide Open Than It Appears?
Brian Burke, sports data scientist at ESPN, and Kevin Cole, data scientist at PFF, examine pass-rush metrics, quarterback projections, and the NFL teams with the most upside.
Podcast
What Analytics Reveal About College Football’s Top Teams
Bill Connelly, ESPN staff writer and creator of SP+, previews the college football season through playoff odds, schedule strength, roster stability, and conference depth.
Podcast
College Football’s New Power Structure
Steven Godfrey, college football journalist and co-host of Yahoo’s College Football Enquirer, examines NIL, eligibility, conference power, and the sport’s evolving postseason.
