Wharton Moneyball

What if one of soccer’s most important analytics metrics is missing some of the most dangerous moments in a match? Recorded live with students from the Wharton Moneyball Academy, Jonathan Pipping, Ph. D. student and member of the Wharton Sports Analytics and Business Initiative Research Team, explains the limitations of expected goals and the development of XG+, a new approach that accounts for bo...

Ravi Ramineni, Head of Analytics for the LA Galaxy, joins the Wharton Moneyball team to break down the expanded 48-team FIFA World Cup, discuss how analytics shapes player evaluation and front-office decision-making, predict the tournament's favorites and dark horses, and is followed by conversations on Serena Williams' Wimbledon return, and notable MLB trends. Hosted on Acast. See acast.com/priva...

Neil Paine, sports data journalist and former FiveThirtyEight contributor, joins the Wharton Moneyball team to discuss the New York Knicks’ surprising title run, the Carolina Hurricanes’ Stanley Cup victory, the role of luck and player interactions in team success, and what early World Cup results reveal about the limits and strengths of sports analytics. Hosted on Acast. See acast.com/privacy for...

Ryan O'Hanlon, ESPN staff writer, author of Net Gains , and Syracuse University instructor, joins the Wharton Moneyball team to analyze the expanded 2026 FIFA World Cup, assess the favorites and dark horses, evaluate the outlook for the U.S. Men's National Team, and explain how analytics-driven innovations such as set pieces and long throw-ins are transforming soccer, before Cade Massey, Adi Wyner...

Greg Bond, Chief Investment Officer and Head of Americas at Man Group, joins the Wharton Moneyball team to discuss research on skill, luck, competitive depth, and predictive analytics across professional sports leagues, while Cade Massey, Shane Jensen, and Adi Wyner break down the NHL Stanley Cup Final, NBA Finals, NCAA championships, and innovative coaching strategies reshaping modern competition...

Cade, Eric, Shane, and Adi discuss NHL playoff hockey, expected goals models, statistical limits in measuring player performance, and how sports like hockey, soccer, baseball, and football differ in the way win probability builds and shifts during competition. Jay Jaffe, senior writer for FanGraphs, the author of The Cooperstown Casebook, and the creator of the JAWS (Jaffe WAR Score) metric for Ha...

Ben Alamar, Author of Sports Analytics: A Guide for Managers, Coaches, and Other Decision Makers?, joins the Wharton Moneyball crew to analyze Victor Wembanyama’s playoff performances, explain advanced defensive metrics, debate NBA draft evaluation methods, and reflect on championship-building strategies across today’s NBA. The team also explores the “hot hand” phenomenon, debates managerial impa...

Tyrel Stokes, Senior Manager of Hockey Analytics at Teamworks and a statistician specializing in causal inference, joins the team to break down the Stanley Cup Playoffs, explain how NHL teams use analytics and tracking data for player evaluation and strategy, and explore how emerging technologies like Hawkeye and AI could transform hockey analysis, while the hosts also examine tennis betting odds,...

Mark Broadie, Carson Family Professor of Business at Columbia Business School, joins Wharton Moneyball to discuss how strokes gained transformed golf analytics and ranking systems, while Cade Massey, Eric Bradlow, and Adi Weiner analyze MLB challenge strategies, team overperformance, and new methods for evaluating roster depth in hockey. Hosted on Acast. See acast.com/privacy for more information.

Richard Thaler, Nobel Laureate and Professor at the University of Chicago, and Benjamin Robinson, Founder and CEO of Grinding the Mocks, join the Wharton Moneyball team to analyze how cognitive biases, flawed valuation frameworks, and emerging data models shape NFL draft strategies and impact team decision-making. Hosted on Acast. See acast.com/privacy for more information.

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/priv...

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...

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...

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...

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...

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—...

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 int...

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 pr...

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 o...

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 decision...

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 NI...