Foundations of Sports Betting
Registration is now open for Foundations of Sports Betting (FSB), an eight-lecture program designed to teach the core concepts, tools, and techniques required to become a disciplined, profitable sports bettor. There are no prerequisites. The course is appropriate for aspiring sports bettors and industry-curious learners alike, with on-demand lectures, practical tools, and a private message board included for enrolled students.About
What you'll learn
Skills you'll gain
Details to know
Foundations of Sports Betting includes eight lectures and forty-four modules, totaling more than seven hours of professionally edited instruction. Students receive permanent access to the lecture library, bundled tools, and ongoing reference material they can apply immediately.Curriculum
Eight lectures covering the fundamental concepts, tools, and techniques needed to build, protect, and grow a sports betting bankroll with a repeatable process.Lecture 1: Introduction
Success in sports betting: information, execution, and modeling.
Lecture 2: Fundamental Concepts
The basics of sports betting: the ethics of sports betting, where to bet, common bet types, angles, edges, and strategies, along with American, Decimal, and Fractional odds and how to convert between them.
Lecture 3: Beating the Odds
Probability and its application in sports betting: break-even probability, vig, overround, implied probability, synthetic vig, synthetic overround, expected value, and edge.
Lecture 4: Promos and Bonuses
How to evaluate and effectively take advantage of sportsbook promotions and bonuses, including deposit bonuses, free bets, bonus money, risk-free bets, and related opportunities.
Lecture 5: Arbitrage
The key elements of arbitrage: identifying arbitrage opportunities, sizing bets correctly, working across multi-way outcomes, and practicing execution through examples and exercises.
Lecture 6: Bankroll Management
Essential components of bankroll management: accurate record-keeping, betting within your bankroll, avoiding overbetting, optimal bet sizing, the Kelly criterion, and the practical judgment needed to apply them.
Lecture 7: Middling
How to determine the value of points: middling for spreads and totals, empirical data analysis, half-middling, and practical considerations when deciding whether a middle is worth pursuing.
Lecture 8: Parting Thoughts
A review of key concepts and how they connect to the bundled suite of tools, including odds conversion, promos and bonuses, line shopping, middling, and future tools for continued education. Participants receive permanent access to these resources.
Instructors
Learn From People Who Actually Beat the Market
Harry Crane
Professor of Statistics · Quantitative Betting Expert · Industry LeaderAssociate Professor and Chancellor's Excellence Scholar in Statistics, Co-Director of the Graduate Program in Statistics, Member, CFTC Innovation Advisory Committee, Board Member, American Bettors' Voice, Advisor, Prediction Markets Research Consortium and Affiliated Faculty in the Graduate Program in Philosophy at Rutgers University.
He is currently Fellow at the London Mathematical Laboratory, and has previously held positions as a Visiting Scholar in Mathematics at UC Berkeley, Research Associate at the RAND Corporation, and Research Fellow at the Foreign Policy Research Institute. He is also a co-founder of Researchers.One, a platform for scholarly publication and initiative for intellectual reform.
Harry received his PhD in Statistics from the University of Chicago and BA in Mathematics, Economics and Actuarial Science from the University of Pennsylvania.
He has profitably applied statistical and other techniques to successful sports betting and other advantage gambling opportunities and has discussed these experiences on the Business of Betting podcast, the Pinnacle podcast, the Political Trade Podcast, the Artful Trader, Old Bull TV, and other media outlets.
He is the author of Probabilistic Foundations of Statistical Network Analysis.
Philip Maymin
Professor of Analytics · Quantitative Researcher · Industry ExecutiveProfessor of analytics and the director of the Master of Science in Business Analytics program at the Fairfield University Dolan School of Business where among other things he teaches both an undergraduate sports analytics course and a graduate sports analytics course. He is the founding managing editor of Algorithmic Finance and the co-founder and co-editor-in-chief of the Journal of Sports Analytics. He is the Chief Technology Officer and Chief Operating Officer for Swipe.bet, an Insight Partner with Essentia Analytics, an advisor to Athletes Unlimited, and an affiliate of the Langer Mindfulness Institute, and has been an analytics consultant with several NBA teams.
He holds a PhD in Finance from the University of Chicago, a Master's in Applied Mathematics from Harvard University, and a Bachelor's in Computer Science from Harvard University. He also holds a J.D. and is an attorney-at-law admitted to practice in California. He has been a portfolio manager at Long-Term Capital Management, Ellington Management Group, and his own hedge fund.
He was awarded a Wolfram Innovator Award in 2015. He has won numerous coding challenges and hackathons. He was named one of the Top 50 Data and Analytics Professionals in the US and Canada in 2018. He is the only person to have won both the Grand Prize for Best Research Paper (2018) and the Hackathon (2020) at the MIT Sloan Sports Analytics Conference.
He is the author of Financial Hacking.
What Our Students Say
Real feedback from bettors who apply analytics in real markets.Frequently Asked Questions
Answers to common questions about course access, learning flow, and how Analytics.Bet training works in practice.What We Teach
Our curriculum spans the full spectrum of sports betting mastery - from foundational bankroll-building techniques that require nothing more than basic arithmetic, to advanced regression, machine learning, closing line value, arbitrage, hedging, backtesting, and automated execution. All courses include code, data, and instructor-built tools, with lifetime access.
What You Get
Members join a professional network of students, alumni, faculty, industry leaders, and legendary sports bettors. It opens up career opportunities, and eligibility to contribute to the Analytics.Bet blog and the Journal of Sports Betting.
Our Standard
We do not sell picks or promises. We teach process - the same process professionals use to maintain an edge over time. If you are ready to bet smarter, you are in the right place.
What makes Analytics.Bet different from other betting education sites?
Analytics.Bet is built around decision-making, modeling, and repeatable process rather than hype. Students learn how to price markets, evaluate risk, track performance, and build evidence-based betting systems instead of following tip sheets.
Will this guarantee profits?
No course can guarantee profits, and any honest sports betting education platform should say that clearly. What we provide is a professional framework for improving your edge, reducing avoidable mistakes, and making better long-term betting decisions.
Are these courses beginner-friendly if I am new to betting analytics?
Yes. The curriculum is designed so motivated beginners can start with foundational concepts like probability, bankroll management, and market mechanics before moving into advanced modeling, automation, and quantitative strategy.
Do I need to know coding or advanced math before enrolling?
No. Some advanced lessons use code, data, and more technical methods, but the learning path starts with practical concepts that do not require programming. As you progress, the platform helps you build the analytical skills needed for more sophisticated work.
Who are the courses best suited for?
These courses are best for serious sports bettors, analysts, aspiring quants, and operators who want to move from intuition to structured decision-making. They are especially valuable for people who care about market efficiency, model validation, and long-term expected value.