Advertise on podcast: Wharton Moneyball

Micah McCurdy—mathematician, creator of HockeyViz, and hockey analytics expert—joins Eric Bradlow, Adi Wyner, and Shane Jensen to discuss simulation and player-level modeling, alongside broader analysis of MLB trends, NBA title odds, and notable statistical performances across sports. Hosted on Acast. See acast.com/privacy for more information.

Jeehae Lee, founder and CEO of Sportsbox.ai, joins the Moneyball team to explore Rory McIlroy’s Masters victory while analyzing how advanced motion capture, data analytics, and AI are reshaping player development, performance evaluation, and talent identification in golf. Hosted on Acast. See acast.com/privacy for more information.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Neil Payne, sports analytics writer and creator of a leading sports Substack, discusses playoff parity, coaching impact, home-field advantage, and how analytics can—and can’t—explain who ultimately wins in today’s NFL and college football postseason. Cade, Eric, Shane & Adi also analyze hockey plus-minus limitations, Grand Slam betting dominance, Baseball Hall of Fame probabilities, and how NIL deals and the transfer portal are transforming competitive balance in college football. Hosted on Acast. See acast.com/privacy for more information.