Sign In Explore Courses
Betting Models

Betting Models

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.
March Madness: Presenting the analytics.b(rack)et!
Betting Models 8 min read

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...
14-03-2022
219
Matthew Buchalter
By Matthew Buchalter Contributor
My First Model
Betting Models 9 min read

My First Model

Hi everyone! I’m going to use this “blog” to write some articles instead of publishing through a third party. For my inaugural post, I thought I’d revisit the ver...
15-08-2021
271
Matthew Buchalter
By Matthew Buchalter Contributor
Introduction to Mixed Models
Bayesian Modeling 11 min read

Introduction to Mixed Models

Translating from Wikipedia’s nomenclature to ours: µ0 is our initial estimate of M_M σ0 is our initial estimate of M_S σ is S n is the number of games we’ve obser...
15-08-2021
205
Matthew Buchalter
By Matthew Buchalter Contributor
To The Extreme: MLB Season Props
Betting Models 13 min read

To The Extreme: MLB Season Props

So this is the functional form of the model we’re going to use in our study of MLB props: P(top score of x) = BINOM.DIST(x+0.5,n,p,TRUE)^z – BINOM.DIST(x-0.5,n,p,...
15-08-2021
605
Matthew Buchalter
By Matthew Buchalter Contributor
Horse Racing: Sport of Kings, Sport of Quants
Betting Models 15 min read

Horse Racing: Sport of Kings, Sport of Quants

This photo is currently hanging in my home office. I’ve never been to this track, and I don’t know any of these people. June 8, 2012 Shakopee, Minnesota It was a...
15-08-2021
567
Matthew Buchalter
By Matthew Buchalter Contributor
Python, My New Year’s Resolution?
Betting Models 6 min read

Python, My New Year’s Resolution?

Yes, it’s that time of year where we look back on what we’ve accomplished and look forward to the future. Global pandemic aside, it’s been a pretty cool year for...
14-08-2021
161
Matthew Buchalter
By Matthew Buchalter Contributor
Next Generation Ticket Pricing
Betting Models 6 min read

Next Generation Ticket Pricing

Well, we’re 14 months into this pandemic and while a return to full-attendance live events is on the horizon in some parts of the world, most of North America is...
14-08-2021
176
Matthew Buchalter
By Matthew Buchalter Contributor
DIY Linear (and Nonlinear!) Regression using Maximum Likelihood
Betting Models 11 min read

DIY Linear (and Nonlinear!) Regression using Maximum Likelihood

Around the house, I am far from a handyman. I can change a light bulb, but anything more difficult than that and I’m gladly paying someone else to do it. Put me i...
14-08-2021
220
Matthew Buchalter
By Matthew Buchalter Contributor

Want to apply these concepts in practice?

Explore our professional betting analytics courses
Explore Courses

What Our Students Say

Real feedback from bettors who apply analytics in real markets.
See All Reviews
Enjoyed the course - given me a lot of food for thought and opened my eyes to some different approaches to things too. I like the dynamic between Harry and Philip presenting the course, and if it weren't for the late night start/finish for me in the UK I might contribute more but it's fast-paced enough that there's plenty to digest too.
M
Michelangelo Whitson
The course was awesome!! Harry and Philip did a great job of laying the foundations while simultaneously providing value to more experienced bettors with advanced topics and guests. My motivation for taking the course came down to my interest in forecasting and markets in general. I think the lessons here are broadly applicable and will help me in my explorations on where to focus my time and energy on my next big project. I think regardless of whether or not I get into betting more seriously, my investment in your course is worth it. On the one hand I may decide betting is not for me and understand better my reasons why and save myself a TON of time and money. On the other hand, I may be able to legitimately find an edge in betting (or other markets perhaps) and make some profits. If anything I'm learning that the true edges are hard to find (and maintain)!
A
Aaron Green
It’s been great—learned a ton of useful things so far and have some ideas marinating as a direct result of the instruction.
A
Alec R.
I have really enjoyed the course. The biggest negative I can think of is that I wish each class was 4 hours, which is definitely a compliment. Overall, great class. I went into the class thinking I needed to refresh / enhance my quant skills to continue to improve. My primary takeaway is that I need to improve my data management and efficiency more than anything.
T
Tom Quinn
It’s been great. It’s really opened my mind about betting. I found it very amazing how the probability is associated with every aspect of the odds. The way to back test a model is also very valuable. And of course the guest lecture was amazing.
A
Aldo Salomon
I really enjoyed the class. I thought you guys did a good balance of beginner to more advanced concepts. Personally, it helped me formalize some of the concepts I've been using but didn't know the official theory behind. I can see potential partnership opportunities for sets of students. One of my friends was in the class and we didn't know it until I mentioned on Twitter that I enjoyed the class.
T
Tony Z.
An enlightening and knowledge improving course.
S
Steve S.
The class exceeded my expectations! 10/10 would recommend to others. Outside of arbing, my knowledge on sports betting, prior to this class, was minimal. For the novice, this class is exactly what I was looking for. I come from other advantage play worlds so I signed up looking to add more tools to the toolkit. One aspect about the class I really enjoy is the level of detail you guys dive into by taking the time to prove concepts. A lot of “ah ha” moments. Overall the course has been invaluable. Thanks for putting this together!!
C
Caveman Sam

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.