Episode Details

How can you actually use AI to become a sharper NFL bettor without falling for the "give me picks" trap? Pro bettor Rob Pizzola joins Pat Mayo to break down the prompt strategies, free data sources, backtesting methods, and workflow automations sharp bettors use with Claude, ChatGPT, and Gemini.
 

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PART 1: HOW TO BET ON NFL OVERVIEW: https://youtu.be/AUA7OJAuyD4

MORE PIZZOLA ON AI & Sports Betting: https://youtu.be/ykICNBiFubg?si=pWA6udohuScOg1L-

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Timestamps & Chapters

00:00 The Right Way to Prompt AI for Betting

01:20 How Pro Bettors Use AI (w/ Rob Pizzola)

03:00 The Worst Way to Use AI vs. Automation & Time Savings

06:00 Dealing with AI Errors & Model Inaccuracies

06:50 Claude vs. ChatGPT vs. Gemini: What Works Best?

9:30 Automating Daily Handicapping Deliverables

11:45 Handling Data Sets, CSVs, and Scraping

14:00 Free NFL Data Sources & Public APIs (NFL FastR)

16:40 How to Learn and Build Betting Models from Scratch

19:20 Sanity Checking Your Model Against the Closing Line

22:45 Modeling Player Props vs. Spreads & Totals

26:15 Backtesting and Avoiding Data Leakage

31:45 Must-Use Research Sites: RBSDM.com, FTN & PFF

34:45 Testing Schemes, Personnel Tendencies & NextGen Speed

38:20 Troubleshooting Model Flaws & Early-Season Traps

45:10 Stripping Luck and Variance Out of the Data

50:15 The Most Predictive NFL Stats (EPA + Success Rate)

54:45 Understanding Weighted EPA and Advanced Metrics

1:01:00 Spotting Low-Effort AI Content in Sports Media

1:03:30 Emerging AI Betting Tools & NextGen Stats

1:07:40 Cam vs. The Machine

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