Effectively Using AI for Sports Betting Picks & Predictions
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The personal use of AI to answer questions and quickly complete tasks continues to grow, and that includes using AI for sports betting picks and predictions.
While AI can quickly gather information from around the Internet, it’s not a perfect predictor of sporting events. Sporting events are unpredictable, but there are also factors generic chatbots like ChatGPT can’t account for.
Why AI Struggles with Sports Betting
While artificial intelligence can be incredibly useful when researching topics or taking large amounts of information and condensing it into a digestible document, it has its limits.
Generic chatbots are restricted by the prompts they are given and the data they have access to. And sometimes, that data isn’t fully up to date.
Pulling Stale Data
Large language models (LLMs) like ChatGPT are trained on massive sets of data to understand and generate human language.
What they are scraping, however, isn’t always the most up-to-date data. Sure, they might have last week’s result, but it might not have the real-time information on Drake Maye’s injury.
It might not have the latest weather report that is showing an incoming band of snow at kickoff.
And if you don’t know about this as you’re creating a prompt to ask for betting advice, that information could get left out completely.
Source Integrity
Remember the saying “don’t believe everything you read on the Internet?” Simpler times, right?
Well, LLMs are scraping data from the open web, meaning they could pull analysis from low-quality blogs as opposed to verified statistics. These fake betting trends can pollute search results that chatbots rely upon.
What’s the point of using AI to make a sports betting pick if it ends up coming from someone you wouldn’t trust in the first place? Is it all of the sudden worth putting money on because their words got filtered to you through ChatGPT?
Of course not.
AI Hallucinations
This may be an oversimplification, but AI wants to please you and always provide answers to your questions.
So, in order to answer your prompt, LLMs may create false or fabricated answers because they are predicting the text that sounds best, not necessarily what is factually accurate. These are referred to as AI hallucinations.
That sounds like a problem when you’re researching things to bet money on!
Data vs. Dialect: The Difference Between AI Chatbots and Predictive Engines
Chatbots are built to create new text that makes sense in the context of what it is asked. While that can be useful for research, it’s not meant to be predictive.
Predictive AI engines, meanwhile, look at historical data to predict future outcomes.
These are not perfect, of course, but they aren’t trying to satisfy a prompt with words, they’re analyzing data and patterns to forecast what’s going to happen next.
Predictive AI models are often using the result of thousands of simulations to spit out an expected result.
Much like AI chatbots, however, predictive engines are only as good as the data they have access to. Garbage in, garbage out can also affect predictive models. If their input is full of bad or old statistics, you’re going to get bad results.
Elevate Your Edge with Sports Betting Dime’s AI Picks
Fortunately, you don’t have to go far to get good AI picks for sports betting, as Sports Betting Dime’s own formula can be found right here on this site.
The following odds pages are all connected to our SBD formula, which uses the data and statistics used by professional leagues and major sportsbooks.
Through our connection to Sportradar, the foremost sports data provider in the world, SBD is plugged into real-time data API, official league stats and player tracking, all helping the formula create data-driven predictions.
They are not randomly generated or based on stale information. Just click through the “Matchup Report” on any game listed at those odds pages, and see our formula’s picks, as well as statistical breakdowns and latest injury reports.
Sports Betting with AI FAQs
ChatGPT is not a predictive tool. It can be used to summarize past results or help you understand betting terms, but it struggles to account for real-time changes that are crucial to betting on sports. For more accurate picks, seek out an AI model connected to a real-time sports data API.
AI chatbots are build to produce text that sounds best, and not necessarily that is most accurate. Because of this, certain prompts can create a response from AI that is not grounded in reality.
AI models are only as good as the data they are fed. If they consume bad data – which can happen when scraping every corner of the Internet – they can provide bad results. Official data providers like Sportradar are providing the best, most accurate data that leagues and sportsbooks rely on. Sportadar data is what powers SBD’s prediction formula.
SBD’s AI picks take emotion out of the betting process, and give you a data-driven prediction based on the statistics and trends. Expert picks rely on all of that too – often getting it from the same places – but include both personal bias and institutional knowledge.
The best AI engines for sports betting are predictive AI engines, not LLM chatbots like ChatGPT. Predictive engines use data and forecast future outcomes following thousands of simulations. I suggest Sports Betting Dime’s own AI picks, which are connected to Sportradar data.
No. Don’t pay for sports betting picks, whether it comes from AI or someone claiming to be an expert. You can access all of SBD’s AI picks for free.
Evergreen Writer/Editor; Sportsbook Expert
With nearly two decades of experience in sports media, Paul Costanzo turned his professional attention to sports betting and online gambling in January of 2022. He's covered every angle of the industry since then, managing and creating content for PlayMichigan and The Sporting News, and now SBD.
