
Wharton Moneyball
Get the latest post-game analytics with the Wharton Moneyball Team
The Wharton School · Wharton Podcast Network
Show overview
Wharton Moneyball has been publishing since 2016, and across the 10 years since has built a catalogue of 620 episodes, alongside 1 trailer or bonus episode. That works out to roughly 730 hours of audio in total. Releases follow a weekly cadence.
Episodes typically run an hour to ninety minutes — most land between 33 min and 1h 45m — with run-times ranging widely across the catalogue. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-language Sports & Recreation show.
The show is actively publishing — the most recent episode landed 4 days ago, with 22 episodes already out so far this year. The busiest year was 2024, with 97 episodes published. Published by Wharton Podcast Network.
From the publisher
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. Hosted on Acast. See acast.com/privacy for more information.
Latest Episodes
View all 620 episodesMeasuring Skill, Luck, and Competitive Balance in Sports
How Baseball Analytics Is Reshaping Hall of Fame Conversations
Breaking Down NBA Playoff Matchups Through Advanced Analytics
How Advanced Analytics Are Changing Professional Hockey
Balancing Performance and Prediction in Modern Golf Rankings
Behavioral Biases and Data Models Shape NFL Draft Strategy
Understanding Hockey Performance Through Data, Simulation, and Visualization
From Masters Victory to Motion Data: Golf’s Analytical Evolution

Blending Analytics and Leadership in Major League Baseball Operations
Sam Fuld, Vice President and General Manager of the Philadelphia Phillies, joins the Wharton Moneyball team to discuss his transition from MLB player to executive and how analytics, player development, and business strategy drive success. Cade, Eric and Shane also analyze recent the college basketball finals, NHL playoff races, and Masters Tournament storylines. Hosted on Acast. See acast.com/privacy for more information.

The Many Meanings of Baseball: History, Data, and Fan Experience
Professor David Henkin, a historian of American culture and author of Out of the Ballpark, joins the Wharton Moneyball team to examine how baseball’s history, statistical evolution, and fan engagement reveal a complex, ever-changing sport that defies any single interpretation. Cade, Eric, Shane, and Adi also discuss early data and strategy implications of the automated ball-strike system in Major League Baseball while also analyzing tournament dynamics and competitive balance in NCAA March Madness. Hosted on Acast. See acast.com/privacy for more information.

Building a Contender: Analytics and Leadership in the NHL
Eric Tulski, Head of Hockey Operations for the Carolina Hurricanes, joins the Moneyball team to explains how analytics, roster construction, and organizational philosophy influence performance, player evaluation, and playoff outcomes in the NHL. Cade, Shane, and Adi also discuss the dominance of teams like the Los Angeles Dodgers, the debate over salary caps and spending floors, and how analytics and labor negotiations may shape the future of Major League Baseball. Hosted on Acast. See acast.com/privacy for more information.

How Analytics Shape NFL Team Building with Brandt Tilis
Brandt Tilis, Executive Vice President for Football Operations for the Carolina Panthers, joins the show to break down NFL roster construction, draft strategy, and the economics of quarterback contracts. He explains how teams balance analytics, film evaluation, and salary cap constraints. In the second half, the hosts discuss the intensity of the World Baseball Classic, automated strike zones, and surprising NHL playoff races. Hosted on Acast. See acast.com/privacy for more information.

Inside KenPom: The Numbers Behind College Basketball
Ken Pomeroy, college basketball statistician and founder of KenPom, joins Wharton Moneyball to break down tempo-free efficiency ratings, the four factors (shooting, turnovers, rebounding, and free throws), and how he evaluates prediction accuracy and calibration across a full season. Plus, Eric, Shane, and Adi discuss what caught their eye in sports — from World Baseball Classic odds and preseason workload questions to tennis dominance and what makes today’s stars so statistically extraordinary. Hosted on Acast. See acast.com/privacy for more information.

Analytics, Rule Changes, and Baseball’s Revival
Theo Epstein, Senior Advisor and part owner of Fenway Sports Group and former executive with the Boston Red Sox and Chicago Cubs, explains how integrating analytics with scouting built championship organizations, how reforms like the pitch timer reshaped the pace of play, and how Major League Baseball can reenergize its national appeal. Hosted on Acast. See acast.com/privacy for more information.

Inside the National Baseball Hall of Fame and Museum’s Evolving Mission
Josh Rawitch, President of the National Baseball Hall of Fame and Museum, joins Eric, Shane, and Cade to explore how Cooperstown preserves baseball history, adapts to analytics and evolving standards of excellence, and prepares for America’s 250th anniversary while shaping the future of the game’s most iconic institution. Plus, the Moneyball team analyzes standout moments from the Winter Olympics—including three-on-three hockey and mixed doubles curling—while also examining NHL goaltending streaks and Major League Baseball preseason projections that raise broader questions about league parity. Hosted on Acast. See acast.com/privacy for more information.

NBA Analytics, Tanking, and the Future of Team Building
Ben Alamar—former NBA analytics executive with the Oklahoma City Thunder and Cleveland Cavaliers, and author of Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers—joins Wharton Moneyball to break down emerging NBA storylines, the unintended consequences of draft lottery reform, bold alternatives to tanking, and the case for analytics trailblazer Dean Oliver’s induction into the Basketball Hall of Fame. Cade, Eric, and Adi also explore statistical evidence of Olympic figure skating bias, debate event proliferation in skiing and speed skating, unpack the Los Angeles Lakers’ Pythagorean paradox, and assess historic performance runs by athletes such as Mikaela Shiffrin and Scottie Scheffler. Hosted on Acast. See acast.com/privacy for more information.

Rethinking Tennis Strategy Through Data and Coachability
Craig O'Shannessy, tennis strategist, analyst for multiple Grand Slams, and New York Times contributor, joins the show to discusses how data-driven decision-making, underused tactics like serve-and-volley, and coachability separate today’s champions from the rest of the field. Cade, Eric, and Shane also analyze Seattle’s defensive-driven win in Super Bowl LX, reassess quarterback ceilings under pressure, and connect those insights to Olympic tournament design and the role of randomness in elite sports outcomes. Hosted on Acast. See acast.com/privacy for more information.

Scaling Insights: How Big Data and Simulation are Transforming the NFL
Michael Lopez, Senior Director of Football Data and Analytics at the NFL, joins the Moneyball team to explain the use of causal inference and drive simulations in shaping the modern game of football. Plus, Eric and Adi explore the mathematical phenomenon of regression to the mean and how it applies to the unprecedented career trajectories of athletes like Carlos Alcaraz and Shohei Ohtani. Hosted on Acast. See acast.com/privacy for more information.

Prediction Markets and the Future of Sports Betting Analytics
Rufus Peabody, professional sports bettor and quantitative analyst, discusses the rise of prediction markets, comparing them to traditional sportsbooks while exploring liquidity, market-making, automation, and the evolving edge for sophisticated bettors. Plus, the Moneyball team has a wide-ranging sports analytics discussion covering Super Bowl matchup expectations, controversial coaching decisions, quarterback perception biases, and key storylines shaping the Australian Open. Hosted on Acast. See acast.com/privacy for more information.

Inside College Football’s Data-Driven Evolution and Decision-Making
Ty Hildenbrandt, co-host of The Solid Verbal college football podcast, joins Cade, Adi, and Eric to explore how sports analytics—from evaluating Indiana’s national championship run to in-game decision-making, quarterback development, coaching philosophy, and the transfer portal—are reshaping the future of college football. Hosted on Acast. See acast.com/privacy for more information.