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How To Use AI To Predict Sports Betting in 2025

With the rise of AI awareness, a wave of sports betting sites has emerged, promising smarter predictions and better win-loss ratios thanks to machine learning. These apps claim to do what AI does best: crunch data and forecast outcomes.

That’s essentially how tools like ChatGPT work: trained on huge datasets, they predict what comes next based on patterns. Now, app developers are betting (pun intended) that the same tech can help predict sports results, drawing on everything from past scores to weather and kickoff times. In this article, I’ll share some practical tips on how you can use AI to support your sports betting decisions.

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This page is written by
Siobhan Aslett
Siobhan AslettIrish Sportsbook Specialist
Fact Checked By
Rebecca Mackay
Rebecca MackayHead of Content
According to our Editorial Guide

Quick Answer:

We’ll go into some more detail about the reliability of AI and some use cases for the technology in sports betting below. However, if you just want to get started with using AI to predict sports outcomes, here are some ways to find a tool that works for you.

  • Look at your existing provider

In March 2025, US sportsbook provider FanDuel launched the first generative AI-assisted chat feature directly featured within a betting tool. The AI offers insights and analysis for betting on the NBA and NFL. Where the Americans lead, others will follow - so watch out for the launch of similar features in your preferred betting software.

  • Prompt ChatGPT

ChatGPT can produce outputs in text and code, but how well does it handle sports predictions? One problem is it may refuse to participate if it thinks you’re gambling. Try explaining that the request is for fun or an experiment. ChatGPT’s training data has a historical cut-off, so you will need to include the most recent relevant data (e.g., current squad, injured players, recent performance, expected weather, etc) in your prompt.

  • Train your own AI

With a little bit of software programming knowledge (or instructions from ChatGPT), you can create your own virtual sports betting assistant. Work with a trainable AI like Chatbase or Google AI Studio and start uploading as much relevant sports data and metrics as you can get your hands on.Ā 

  • Download an independent app

There are a few pre-trained AI sports betting agents on the market. Juice Reel and SageWager are some of the better-known names, but do your research and find one that specialises in the field where you like to place your bets. Some offer bet syncing - a feature that gathers and analyses your betting history.

šŸ’”In 2024, over $1.2 billion was wagered through AI-assisted sports betting applications.

Could AI’s Sports Predictions Be Hallucinations?

One of the problems identified with AI outputs is sometimes referred to as hallucination. This is the tendency of AI to post confident responses that do not match our human experience of the world. They have been observed to fabricate academic sources and make dubious recommendations like adding glue to pizza.Ā  If your AI is producing garbage like ā€œEverton to win the 5:10 at Wolverhamptonā€, then there’s clearly a problem. But if it predicts an outlier event, should you consider this a hallucination or a chance to make a mint?

Best practice would be to thoroughly test your model before committing your bankroll. Make a list of your intuitive bets. Make a list of the AI’s predictions. Compare the results. The time to put your trust in the algorithm is the point where the AI is consistently outperforming you.

šŸ’”Data analysis shows that integrating AI can reduce betting losses by an average of 24.7%.

Specific Uses of AI in Sports Betting

Let’s take a look at how AI is already being used in sports betting and the potential developments in this field.

Predicting Sports Outcomes

This is perhaps the most obvious use case for machine learning and also the most testable. As of December 2024, over 100 academic papers had been published on the subject. They make for pretty dry reading, but I’ve included a link in the references for the dedicated.

For all the bold claims made by the nascent app companies pushing their sports betting algorithms, their models stand or fall based on how they perform. You can test the performance of these apps yourself (without necessarily wagering) and decide if you want to take the plunge into machine-assisted betting.

Assistance with In-Play Betting

This is a newer technology that we are starting to see offered by sports betting platforms. DraftKings recently acquired Simplebet’s machine learning tool to enhance its live bet offerings. Again, watch for the rollout across platforms. It will likely take the form of notifications of tempting live bet offers based on your betting history.

How Bookies Are Already Using AI

Traditionally, bookies laid initial odds based on their best statistical information and then adjusted them based on their knowledge of the sum of punters’ individual bets. AI, with its potential for crunching huge amounts of data very quickly, can assist bookmakers with keeping their edge on these tasks. You can bet your bottom Euro that the big bookies are investing heavily in AI.Ā 

More accurate odds are only one way in which bookies are utilising the powers of machine learning. AI has other uses, like:

  • Fraud identification

  • Personalised bet recommendations

  • Improved live betting experience

šŸ’”Sports betting platforms using AI algorithms have reported a 15% increase in user engagement.

Experts' Thoughts on AI and Sports Betting

Accurate prediction relies on the assumption that the future resembles the past. If we take that as a given (and smarter philosophers than me have questioned whether we should) then better data on past events should lead to smarter bets on future ones. Going forward, AI is going to play a big part in refining sports data analysis, whether it can translate into more accurate predictions remains an open question.Ā I'm excited to see how all of this will develop. I believe it's going to be a game changer for sports betting in Ireland.

AU & Sports Betting FAQs

How do I evaluate an AI model’s performance in sports betting?

This is as simple as comparing the AI’s predictions with your own intuitions and observing which performs better.

How does AI predict sports outcomes?

An AI model can be trained on vast amounts of sports data and then tested by prompts to predict outcomes for sports events with known results. The model can then be refined based on its accurate and inaccurate predictions. The refined model can then be used to predict outcomes for results with unknown outcomes. 

What tools or software can I use for AI betting?

You can use general AI chat tools like ChatGPT or Gemini, specialised sports betting AI tools by various software developers, or you can train and refine your own AI model. 

What are common pitfalls in AI sports betting?

AI takes statistical data and uses it to predict future outcomes. This data has limitations. It may not be up to date with the latest squad changes. It cannot take into account emotional factors like the mood in the dressing room. AI is a tool; the greatest pitfall may be an over-reliance on a tool against your own better judgment. 

Where to get historical sports data for AI analysis?

If you are looking for historical sports datasets, you won’t be disappointed. Google ā€˜historical sports data’ and take your pick. All these will have a cut-off, so you may wish to add more up-to-date data from your chosen sports to give your AI model an edge.

Sportsbook Expert

Sports & sportsbook expert of 8 years. Specialising in a subject close to her heart, sports, Siobhan informs online sports betting fans about the latest news & best sports betting sites.

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