Registration is now open for Foundations of Sports Betting (FSB).
There are no pre-requisites. The course is appropriate for all aspiring sports bettors or those interested in the industry, regardless of experience. Enrolled students receive access to the lectures on-demand, the suite of tools, and the private message board.
Foundations of Sports Betting teaches the skills necessary to be a successful sports bettor. The eight-lecture course covers the fundamental concepts, tools, and techniques necessary to build, protect, and grow your bankroll. Graduates of the course will be prepared to identify angles, evaluate edges, and execute strategies for long-term profitability in sports betting. The forty-four modules within the eight lectures comprise more than seven hours of professionally edited video lectures.
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, American, Decimal, and Fractional odds, and converting odds formats.
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 sports books promotions and bonuses: deposit bonuses, free bets, bonus money, risk-free bets, and more.
Lecture 5: Arbitrage
The key elements of arbitrage: identifying arbitrage opportunities, arbitrage bet sizing, multi-way outcomes, and exercises.
Lecture 6: Bankroll Management
Essential components of bankroll management for sports betting: accurate and comprehensive record keeping, betting within your bankroll, avoiding overbetting, optimal bet sizing, the Kelly criterion, and practical considerations.
Lecture 7: Middling
How to determine the value of points: middling for spreads and totals, empirical data analysis, half-middling, and practical considerations.
Lecture 8: Parting Thoughts
Review of key concepts and implementation into the bundled suite of tools: odds conversion, promos and bonuses, line shopping, middling, and future tools and continued education. Course participants receive permanent access to these tools.
Harry Crane is Associate Professor and Chancellor’s Excellence Scholar in Statistics, Co-Director of the Graduate Program in Statistics, 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 is a professor 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.
Individual registration is available through the link below. Groups of 15 or more may contact email@example.com for information on custom-tailored private group sessions.