
Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
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Total monthly reach
Estimated from 1 chart position in 1 market.
By chart position
- 🇮🇱IL · Sports#116500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
150 to 900🎙 Daily cadence·613 episodes·Last published 1w ago - Monthly Reach
Unique listeners across all episodes (30 days)
500 to 3K🇮🇱100% - Active Followers
Loyal subscribers who consistently listen
200 to 1.2K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 14 epsHosts
Recent guests
Recent episodes
What Unexpected Champions Teach Us About Sports
Jun 17, 2026
Unknown duration
Breaking Down the Biggest World Cup Ever
Jun 10, 2026
Unknown duration
Measuring Skill, Luck, and Competitive Balance in Sports
Jun 3, 2026
1h 03m 34s
How Baseball Analytics Is Reshaping Hall of Fame Conversations
May 27, 2026
1h 00m 46s
Breaking Down NBA Playoff Matchups Through Advanced Analytics
May 20, 2026
1h 03m 20s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/17/26 | ![]() What Unexpected Champions Teach Us About Sports | 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 more information. | — | ||||||
| 6/10/26 | ![]() Breaking Down the Biggest World Cup Ever | 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. Hosted on Acast. See acast.com/privacy for more information. | — | ||||||
| 6/3/26 | ![]() Measuring Skill, Luck, and Competitive Balance in Sports✨ | skillluck+4 | Greg Bond | Man Group | — | skillluck+6 | — | 1h 03m 34s | |
| 5/27/26 | ![]() How Baseball Analytics Is Reshaping Hall of Fame Conversations✨ | baseball analyticsHall of Fame+4 | Jay Jaffe | FanGraphsThe Cooperstown Casebook | — | baseballanalytics+6 | — | 1h 00m 46s | |
| 5/20/26 | ![]() Breaking Down NBA Playoff Matchups Through Advanced Analytics✨ | 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 | ![]() How Advanced Analytics Are Changing Professional Hockey✨ | hockey analyticsStanley Cup Playoffs+4 | Tyrel Stokes | TeamworksHawkeye+2 | NHL | hockeyanalytics+6 | — | 1h 02m 06s | |
| 5/6/26 | ![]() Balancing Performance and Prediction in Modern Golf Rankings✨ | golf analyticsMLB challenge strategies+3 | Mark Broadie | Columbia Business SchoolWharton Moneyball | — | golf rankingsstrokes gained+3 | — | 1h 08m 08s | |
| 4/29/26 | ![]() Behavioral Biases and Data Models Shape NFL Draft Strategy✨ | NFL DraftCognitive Biases+3 | Richard ThalerBenjamin Robinson | University of ChicagoGrinding the Mocks+1 | — | NFL DraftCognitive Biases+3 | — | 1h 08m 28s | |
| 4/22/26 | ![]() Understanding Hockey Performance Through Data, Simulation, and Visualization✨ | hockey analyticsdata visualization+5 | Micah McCurdy | HockeyVizMLB+2 | — | hockeyanalytics+6 | — | 57m 09s | |
| 4/15/26 | ![]() From Masters Victory to Motion Data: Golf’s Analytical Evolution✨ | golfdata analytics+4 | Jeehae Lee | Sportsbox.aiThe Wharton School | — | golfdata analytics+5 | — | 1h 02m 36s | |
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| 4/8/26 | ![]() Blending Analytics and Leadership in Major League Baseball Operations✨ | analyticsleadership+5 | Sam Fuld | Philadelphia PhilliesWharton Moneyball+1 | — | analyticsMLB+7 | — | 55m 05s | |
| 4/1/26 | ![]() The Many Meanings of Baseball: History, Data, and Fan Experience✨ | baseball historystatistical evolution+4 | David Henkin | Wharton MoneyballMajor League Baseball+1 | — | baseballhistory+6 | — | 57m 03s | |
| 3/25/26 | ![]() Building a Contender: Analytics and Leadership in the NHL✨ | NHL analyticsroster construction+5 | Eric Tulski | Carolina HurricanesLos Angeles Dodgers+2 | — | NHLanalytics+5 | — | 56m 07s | |
| 3/18/26 | ![]() How Analytics Shape NFL Team Building with Brandt Tilis✨ | NFL roster constructiondraft strategy+4 | Brandt Tilis | Carolina PanthersWharton School+1 | — | NFLanalytics+4 | — | 47m 59s | |
| 3/11/26 | ![]() Inside KenPom: The Numbers Behind College Basketball✨ | college basketballstatistics+3 | Ken Pomeroy | KenPomWharton Moneyball | — | KenPomcollege basketball+3 | — | 1h 00m 01s | |
| 3/4/26 | ![]() Analytics, Rule Changes, and Baseball’s Revival✨ | analyticsbaseball+4 | Theo Epstein | Fenway Sports GroupBoston Red Sox+2 | — | analyticsbaseball+5 | — | 1h 02m 18s | |
| 2/25/26 | ![]() 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. | — | ||||||
| 2/18/26 | ![]() 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. | — | ||||||
| 2/11/26 | ![]() 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. | — | ||||||
| 2/4/26 | ![]() 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. | — | ||||||
| 1/28/26 | ![]() 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. | — | ||||||
| 1/21/26 | ![]() 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. | — | ||||||
| 1/14/26 | ![]() When Analytics Meet Chaos in Football Playoffs | 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. | — | ||||||
| 1/7/26 | ![]() Data-Driven NFL Playoffs and College Football’s Shifting Power | ESPN National Football Analyst Seth Walder, and Steven Godfrey, college football writer for Yahoo Sports and The Washington Post and co-host of the College Football Enquirer podcast, join Cade and Shane to examine the NFL playoff landscape through advanced metrics and unpack the College Football Playoff’s surprises, transfer portal strategy, and evolving SEC–Big Ten balance of power. Hosted on Acast. See acast.com/privacy for more information. | — | ||||||
| 12/31/25 | ![]() How AI and Bayesian Models Are Reshaping Sports Analytics | Eric Bradlow, Shane Jensen, and Adi Wyner examine how AI-driven metrics, model calibration, and Bayesian approaches inform quarterback evaluation, team upsets, and the evolving limits of sports analytics. Hosted on Acast. See acast.com/privacy for more information. | — | ||||||
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Chart Positions
1 placement across 1 market.
Chart Positions
1 placement across 1 market.























