
Wharton Moneyball
by The Wharton School
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On the show
From 19 epsHosts
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Recent episodes
What Analytics Reveal About College Football's Top Teams
Sep 2, 2026
Unknown duration
College Football's New Power Structure
Aug 26, 2026
Unknown duration
How Data Changed MLB Pitching
Aug 19, 2026
Unknown duration
The NFL's Biggest 2026 Questions
Aug 12, 2026
Unknown duration
Why Pitch Counts Are Failing Baseball
Aug 5, 2026
Unknown duration
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 9/2/26 | What Analytics Reveal About College Football's Top Teams | The road to the College Football Playoff is not as straightforward as a preseason ranking suggests.Bill Connelly, ESPN staff writer and creator of SP+, breaks down the analytics shaping the college football season. He examines why roster turnover creates a wider range of outcomes, how schedule strength affects playoff chances, the difference between the SEC and Big Ten, and the teams best positioned to contend. He also shares what his season simulations reveal about the title race and why a few unexpected teams could break through. Hosted on Acast. See acast.com/privacy for more information. | — | ||||||
| 8/26/26 | College Football's New Power Structure | What happens when college football players can make more money by staying in school than by entering the NFL?Steven Godfrey, college football journalist and co-host of Yahoo's College Football Enquirer, examines the financial incentives reshaping college football. He discusses NIL deals, transfer rules, eligibility loopholes, and why former NFL players attempting to return to college football could test the sport's limits.Godfrey also breaks down the Big Ten and SEC, coaching pressure at USC and Michigan, conference depth, playoff paths, and why Notre Dame and Ohio State stand out in the national championship picture. Hosted on Acast. See acast.com/privacy for more information. | — | ||||||
| 8/19/26 | How Data Changed MLB Pitching | Why are today's MLB pitchers harder to hit than ever?Adam Ottavino, former 15-year MLB reliever and current ESPN analyst, explains how pitch-tracking data, high-speed cameras, and personalized pitching labs reshaped his own career and changed player development across baseball. He breaks down how pitchers design new pitches, use bat-tracking data to attack hitters, and adapt their strategy from pitch to pitch.Ottavino also examines why pitching may have gained an edge over hitting, how teams use data to plan pitch selection, the limits of velocity, automated ball-strike challenges, and what a temporary velocity drop can mean for a pitcher such as Paul Skenes. Hosted on Acast. See acast.com/privacy for more information. | — | ||||||
| 8/12/26 | The NFL's Biggest 2026 Questions | Which NFL teams are the numbers backing before the 2026 season begins?Aaron Schatz, National NFL Analyst at ESPN and Chief Analytics Officer at FTN Fantasy, explains why the Houston Texans stand out in the AFC and why the Seattle Seahawks project as one of the league's strongest teams. He breaks down the Rams' Super Bowl outlook, the Bills' defense, the Eagles' path through the NFC East, and the teams that could surprise or regress.Schatz also explores how DVOA-based forecasts account for quarterback performance, coaching changes, injuries, schedules, and the balance of offense, defense, and special teams. Plus, why even the best projections leave plenty of room for the chaos of an NFL season. Hosted on Acast. See acast.com/privacy for more information. | — | ||||||
| 8/5/26 | Why Pitch Counts Are Failing Baseball | What if baseball’s most trusted pitching limit is more habit than science? Travis Sawchik, baseball analytics writer and author of Big Data Baseball and The MVP Machine, breaks down why pitch counts can miss the real stress on a pitcher’s arm, how workload units and acute-to-chronic ratios offer a better view of fatigue, and why teams may need to rethink how they build pitching capacity.The conversation also covers MLB trade deadline strategy, the Dodgers’ title odds, the Brewers’ risk calculus, when teams should chase variance instead of average gains, Baker Mayfield’s recent production compared with Patrick Mahomes, the Ravens’ coaching changes, Saquon Barkley’s workload, and college football playoff storylines. Hosted on Acast. See acast.com/privacy for more information. | — | ||||||
| 7/29/26 | Can the Sixers’ New Superteam Work? | Can the Philadelphia 76ers turn a roster featuring LeBron James, Joel Embiid, Tyrese Maxey, Jaylen Brown, and VJ Edgecombe into a championship team?Basketball analytics pioneer and ESPN data scientist Dean Oliver joins the Wharton Moneyball team to examine how Philadelphia might distribute possessions among so many high-usage players, whether LeBron can succeed as a point forward, and who should control the ball in critical late-game situations. The conversation also explores three-point shooting, defensive concerns, and why analytics can measure player performance more easily than it can predict chemistry and fit.Plus, the hosts discuss the enduring appeal of the Baseball Hall of Fame and the arrival of corporate jersey sponsorships in college football. Hosted on Acast. See acast.com/privacy for more information. | — | ||||||
| 7/22/26 | How Constraints Shape Creativity and Athletic Development | The right limits can lead to better ideas and better performance.David Epstein, bestselling author of The Sports Gene, Range, and Inside the Box: How Constraints Make Us Better, joins Wharton Moneyball to explore how constraints can strengthen creativity, focus, and decision-making.Epstein discusses the value of tight briefs and rapid prototypes, why first ideas are not always the best ideas, and why young athletes may benefit from playing multiple sports before specializing. Hosted on Acast. See acast.com/privacy for more information. | — | ||||||
| 7/15/26 | randomness in sportswin probability+5 | Eric Eager | Carolina PanthersWharton Moneyball+1 | — | sports analyticsHome Run Derby+5 | — | 1h 01m 15s | ||
| 7/8/26 | soccer analyticsexpected goals+4 | Jonathan Pipping | Wharton Sports Analytics and Business InitiativeWharton Moneyball Academy+1 | — | socceranalytics+5 | — | 57m 12s | ||
| 7/1/26 | soccer analyticsFIFA World Cup+3 | Ravi Ramineni | LA GalaxyWharton Moneyball+1 | — | socceranalytics+4 | — | 1h 07m 59s | ||
| 6/17/26 | sports analyticsteam success+5 | Neil Paine | FiveThirtyEightNew York Knicks+3 | — | sportsanalytics+5 | — | 50m 42s | ||
| 6/10/26 | 2026 FIFA World Cupsoccer analytics+4 | Ryan O'Hanlon | ESPNSyracuse University+1 | U.S. | World Cupsoccer+6 | — | 1h 02m 23s | ||
| 6/3/26 | skillluck+4 | Greg Bond | Man Group | — | skillluck+6 | — | 1h 03m 34s | ||
| 5/27/26 | baseball analyticsHall of Fame+4 | Jay Jaffe | FanGraphsThe Cooperstown Casebook | — | baseballanalytics+6 | — | 1h 00m 46s | ||
| 5/20/26 | NBA playoffsadvanced analytics+5 | Ben Alamar | Sports Analytics: A Guide for Managers, Coaches, and Other Decision Makers? | — | NBAplayoffs+8 | — | 1h 03m 20s | ||
| 5/13/26 | hockey analyticsStanley Cup Playoffs+4 | Tyrel Stokes | TeamworksHawkeye+2 | NHL | hockeyanalytics+6 | — | 1h 02m 06s | ||
| 5/6/26 | golf analyticsMLB challenge strategies+3 | Mark Broadie | Columbia Business SchoolWharton Moneyball | — | golf rankingsstrokes gained+3 | — | 1h 08m 08s | ||
| 4/29/26 | NFL DraftCognitive Biases+3 | Richard ThalerBenjamin Robinson | University of ChicagoGrinding the Mocks+1 | — | NFL DraftCognitive Biases+3 | — | 1h 08m 28s | ||
| 4/22/26 | hockey analyticsdata visualization+5 | Micah McCurdy | HockeyVizMLB+2 | — | hockeyanalytics+6 | — | 57m 09s | ||
| 4/15/26 | golfdata analytics+4 | Jeehae Lee | Sportsbox.aiThe Wharton School | — | golfdata analytics+5 | — | 1h 02m 36s | ||
| 4/8/26 | analyticsleadership+5 | Sam Fuld | Philadelphia PhilliesWharton Moneyball+1 | — | analyticsMLB+7 | — | 55m 05s | ||
| 4/1/26 | baseball historystatistical evolution+4 | David Henkin | Wharton MoneyballMajor League Baseball+1 | — | baseballhistory+6 | — | 57m 03s | ||
| 3/25/26 | NHL analyticsroster construction+5 | Eric Tulski | Carolina HurricanesLos Angeles Dodgers+2 | — | NHLanalytics+5 | — | 56m 07s | ||
| 3/18/26 | NFL roster constructiondraft strategy+4 | Brandt Tilis | Carolina PanthersWharton School+1 | — | NFLanalytics+4 | — | 47m 59s | ||
| 3/11/26 | college basketballstatistics+3 | Ken Pomeroy | KenPomWharton Moneyball | — | KenPomcollege basketball+3 | — | 1h 00m 01s | ||
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