Articles on Sports Betting Analytics
Our articles focus on the analytical foundations of sports betting - probability theory, statistical inference, market efficiency, and model validation. They are designed for readers who want to understand how betting markets work, not for those looking for quick betting picks.
Lessons from a 100xer
Gambling was legalized in my home state of Virginia in February of 2021. In the 10 months that passed from then, I went from a completely clueless bettor with a $...
March Madness: Presenting the analytics.b(rack)et!
First, two HUGE disclaimers. My domain knowledge as it relates to NCAA basketball is pretty much zero. It’s just not something I’ve ever gotten myself into. Colle...
How Losers Lose
There are a lot of great resources out for learning how to win at sports betting. This isn’t one of them. Some of my favorite resources on winning are this articl...
Reasons to Ignore the Kelly Criterion
In “sophisticated” betting circles, the Kelly Criterion is accepted as the single correct way to determine your optimal bet sizing. In plain English, the Kelly cr...
The Value of a Sharp Network
Read about how two Analytics.Bet classmates John Benedict (Co-founder of Sharpe Edge) and Tom Quinn, connected on the class private Slack channel and applied less...
“Risk Free” bets aren’t risk free
Many of U.S. sportsbooks offer a large “risk free” first bet to attract deposits from new customers. The amount of the risk free first bet usually ranges from $50...
Finding an Edge and Keeping It
With the right combination of skill, discipline and mindset, it is possible to make a significant among of money betting on sports -- maybe even enough to quit yo...
Announcement: Bayesian Sports Betting
I hope everyone is having a great fall and a successful start to football season! I have been hard at work developing the course content for Bayesian Sports Betti...
Sharp Books, Soft Books: Inside the Sportsbook Ecosystem
Today I’m going to tackle a topic that is somewhat controversial. Myths, misconceptions and disinformation are everywhere, there is passionate debate from all dir...
A Deep Learning Approach to MLB Money Line Betting Based on Joe Peta’s “Trading Bases”
(c) All Rights Reserved 2022 Contact David at:Twitter: @daveklotzLinkedIn: https://www.linkedin.com/in/davidpklotz/Emails: klotz (at) pobox (dot) comWant to apply these concepts in practice?
Explore our professional betting analytics coursesWhat Our Students Say
Real feedback from bettors who apply analytics in real markets.Frequently Asked Questions
Common questions about our betting analytics articles, research archive, and educational resources.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.