Artificial Intelligence

How Artificial Intelligence Can Be Applied In Sports

How Artificial Intelligence Can Be Applied In Sports

The past decade has been full of technological advancements that reshape the world we live in. From cryptocurrencies that reached billions of dollars in market cap, to AI technology that advances quicker than most people can keep up, one thing is for sure – the world is advancing.

In this case, we will focus on AI since it is currently a trending subject.

It was not too long ago when the world was amazed with the introduction of ChatGPT. An AI model capable of giving you the most answers to your questions, but that was about it. Fast forward one year later, and we have AI social media management, AI image & video generative software, AI business helpers, AI virtual assistants, and much more.

Obviously, AI impacted many different industries. Just look at Nvidia’s share, it is up almost 1,800% mostly fueled by investors excited about artificial intelligence. But it is not only about tech. 

There isn’t a single industry that isn’t impacted by AI. Even sports.

This brings us to our subject. How can AI be used in sports, and what good will come out of it?

AI in Sports

There are many use cases of AI in sports, and we are still learning about this technology’s capabilities, new opportunities in the future will emerge after it advances to the next level.

But even now AI has a big impact on the sports industry.

Let’s highlight some of them.

Performance Analytics

One of the main use cases of AI is to analyze big data. Something that humans cannot. Yes, we can look at a couple of spreadsheets, but analyzing huge piles of data is impossible for humans without some AI assistance.

Performance analytics plays a crucial role in any sport, from soccer to basketball, and of course horse racing.

AI can track the performance of athletes and analyze a few different parameters collected by smart wearable sensors. This data can later be used to enhance the athlete’s performance or make the horse run faster.

This is the technology that coaches dreamed of for years.

Injury Prevention

Let’s get to more serious use cases of AI technology. The performance analytics segment is cool and all, but sports will survive with or without the performance technology.

On the other hand, there is no substitute for injury prevention in athletes. In other words, we as humans cannot predict when an athlete has a higher risk of getting an injury due to a busy past schedule or when a horse can have an accident in a race.

But AI can predict that. There are already technologies specifically used in horse racing, where sensors collect data from horses, and AI analyzes that data and gives a risk of injury report. This is very useful for the trainers since they can decide not to race just to avoid unwanted injuries.

Plus, it is more ethical towards horses, as well as humans.


Obviously, betting is an important part of sports, and they wouldn’t be the same without the excitement of placing a bet.

But AI is knocking on the door of this industry trying to storm in and introduce new practices. We’ve already seen AI-powered software that can analyze big data and hand out a betting prediction for an upcoming event at a scary level of accuracy.

A study found that AI predictions in sports betting can reach an accuracy of up to 70% in some cases. In horse racing, algorithms have predicted outcomes with an accuracy rate that beats traditional methods by a significant margin, though the exact figures can vary widely based on the models and data used.

What does this mean for the betting industry? If AI can predict every sporting event, how will the betting industry survive?

Well, at the moment, AI cannot predict sporting events with 100% accuracy. We might see it being able to predict the horse racing biggest US event, the Kentucky Derby. 

If you are interested in learning more about the upcoming 150th Kentucky Derby, check out the odds, or place a bet click the link below:

It is here only to introduce another aspect of betting and make the process somewhat more exciting.

Fan Engagement

It is not only about the athletes and the sporting organizations. We also have fans, right? After all, without fans, there will be no sports.

Fortunately, AI also improved the user experience of sports by introducing many different innovations. First of all, we have AI chatbots that can bring sporting organizations closer to their fans.

Additionally, we have live data technology combined with AI, that can give people interesting metrics, statistics, and facts live while watching the game or race. This improves the overall user experience and makes sports even more exciting.

Final Words

These are just a few of the different sectors in the sporting industry that are impacted by AI technology. However, it is just the tip of the iceberg. AI will revolutionize sports forever and will introduce new ways of watching, interacting, analyzing, organizing, and betting on sports.

Masri serves as the Chief Content Editor at BestKodiTips. With three years of experience, she excels in creating technical content, focusing on how-to guides, Android and Kodi tutorials, app reviews, and addressing common technological challenges. She ensures to stay abreast of the latest tech updates. Outside of work, Masir finds pleasure in reading books, watching documentaries, and engaging in table tennis.

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