How to Create a Betting Model: A Step-by-Step Guide

A betting model, or sportsbook, is a tool that lets you place bets on sporting events. In this article, we will discuss how to create a betting model with Python, how to use the model to make money, and how to clean up any mistakes you might have made along the way.

The Basics Of Building A Model

The concept of a betting model might be a little difficult to grasp at first, so let’s break it down. A betting model allows you to place bets on a range of sporting events, from individual matches to entire leagues and cup competitions. When a game ends, the model immediately provides you with the result. Based on the outcome of the game, you can then decide whether or not to pay off your wager. The model may then prompt you to make another wager on a different game within a few seconds.

The main use for a betting model is to allow you to follow all the games you care about using only one app. By combining live score updates with detailed statistical information, you can stay informed of the action even as other competitions break out around the world. For better or worse, the world of sport is an unpredictable one, which is why you need a reliable tool to keep up with all the action as it unfolds. A good betting model ensures that you don’t miss a single crucial game, no matter where you are in the world. Additionally, you can often get betting odds, or the chance of winning, from the model itself. This makes comparing and contrasting different outcomes much easier, since you won’t have to search for them yourself on sites like OddsShark.

What Type Of Data Should I Use To Build My Model?

There are four main elements that you need to include in your model to create a useful tool:

  • Live Scores
  • In-Play (or Live) Betting
  • Past Result Data
  • Fixtures

The first two elements, live scores and in-play betting, are self-explanatory; you need to have live scores so that you can follow games as they happen, and you need in-play betting so that you can place wagers on current sporting events. The other two elements, past result data and fixtures, are less obvious in terms of what they actually represent. When someone says “past result data,” they usually mean the results of previous competitions, such as sporting leagues or tournaments. Fixtures are the records of individual games, and they are essentially what you get when you combine a league or tournament with a complete set of results. If you want to learn more, take a look at Chapter 3 of the “Analyst’s Guide to International Sports Betting” by Chris Duffin and Martin Lewis.

What Kind Of Programming Language Should I Use?

As we mentioned above, a betting model mainly uses Python to perform its various functions. In fact, Python is the most popular “general-purpose” programming language, meaning that it offers very good support for almost any kind of software development project you could possibly think of. If you are unfamiliar, you can download Python for free from, and there are many excellent Python-based video tutorials online, so it would be a good idea to familiarize yourself with the language before starting work on your betting model.

In terms of which version of Python to choose, there are several options to consider. If you are writing your model for Mac or iOS devices, you should go for the latest stable version of Python, 3.6. This ensures that all the devices on which you are coding will have the same performance. If you are writing for PCs, you can choose to go for one of the stable versions, such as 3.5 or 3.6.

Where Should I Store My Model?

As a professional sports analytics tool, your model probably stores a lot of data related to sports. Since your app will be storing a lot of information, it’s a good idea to put it on a server so that it’s easier to maintain. You can either run a dedicated server or host your files on a cloud service, the likes of Google’s Cloud Platform or Microsoft Azure.

While running your own server is the most secure option, using a cloud service offers several advantages. If you run your own server, you will be responsible for securing it against hackers and maintaining it properly. Additionally, you will be able to control the amount of traffic your server can handle, so you don’t get too overwhelmed by unusually high user volume. The last thing you need is a server that can’t handle the load or crashes regularly.

If you decide to go with a cloud service, you will need to take care of backups regularly, as well as ensuring your server is always up-to-date. Luckily, the vendors for both Google’s Cloud Platform and Microsoft Azure offer excellent solutions for this.

Ultimately, running a reliable and stable server is essential if you want to create a useful betting model. Ensure that you always have enough storage space so that you don’t run out of room as soon as you start accumulating data. While it would be great to have the most advanced hardware available, you should not purchase expensive equipment solely to generate profit from your model. Ultimately, the type of hardware you need will depend on how you intend to use your tool. If you want something reliable, choose components that are well-known for being highly stable and offer good value for money.

How Do I Get The Data?

The information needed to create a model is usually available online, though it can sometimes be hidden behind paywalls or limited access paid areas. If you are looking for in-play betting odds, you can find them openly published by sportsbooks on websites like OddsShark, or you can look for independent sources that track betting trends and have released their results to the public. It is also a good idea to check social media for tips and tricks about sports and betting. For example, the Twitter account @MySportsBook, which is one of the most followed sports-related accounts on the platform, regularly shares tips and tricks about sports and betting. You can also find a large number of articles and blog posts on the topic, which are often very helpful.

Does My Model Need To Be Affiliate Marketing-Friendly?

Unfortunately, not all affiliate marketing-friendly tools are reliable or good at what they do. Even if the model itself is totally free, it would still be a bad idea to use it for affiliate marketing purposes. The reason is simple: if you are writing an app that will be used by people who are already familiar with affiliate marketing, why would you want to muddy the waters by throwing in a bunch of extra “businesses” that are designed to make you money from affiliate marketing?

Consider using an affiliate marketing-friendly tool for something completely different. Perhaps you are writing an app that is designed for people who want to play fantasy sports, and you decide to include an affiliate marketing component in your app. In this case, while it would still be beneficial to include an affiliate marketing component, it would be bad idea to overload your app with all the complexities that go along with it. At the very least, take a look at the vendors’ websites to see how they handle affiliate marketing, or download their respective apps and check out how they work. This will help you make the right decision about whether or not to use an affiliate marketing component in your overall model.

Hopefully, this article has helped you understand the various components that go into creating a reliable and useful betting model. It is important to keep in mind that there are many different ways to approach building a model, and you should not rush into doing so. Instead, take your time to research and consider all the options before making a decision. Even then, chances are you will question whether or not that is indeed the best option for you. It is not easy creating something that will be useful to others, especially when you are doing it for free. Nevertheless, with a little bit of patience and a lot of hard work, anyone can do it.