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.

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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.

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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, and Shane Jensen discuss the spread of analytics across sports, playoff unpredictability, tournament design, and the evolving impact of NIL on college athletics.

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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.

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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 Hall of Fame analysis. joins the Moneyball team to break down early MLB season surprises, debate modern Hall of Fame standards for pitchers, explain the JAWS.

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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 impact in baseball, analyzes NHL playoff momentum, and examines why unpredictability makes golf and tennis so compelling for sports analytics fans.

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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, MLB home run milestones, and the role of probability across sports.

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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.

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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.

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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.

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