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19.06.2024
7 min read

AI in Sports Betting: AI-Powered Tools and Leaders' Perspectives

According to the AI in Sports Market Report 2024, the global AI in sports market was valued at USD 2.1 billion in 2022 and is projected to grow at an annual rate of 30.10% from 2023 to 2030. But how can businesses leverage AI in sports betting to enhance operations while safeguarding users' sensitive data and addressing ethical concerns? Let’s explore examples of AI-driven tools and insights shared by sports betting industry leaders and professionals in our Sports Betting Conversations series.

AI in Sports Betting: AI-Powered Tools and Leaders' Perspectives

Article by

Russell Karp
Russell Karp

AI Sports Analytics: Angstrom, Juice Reel, Invincible GG

The rapid advancements in AI for data analysis and generative content present a significant opportunity for the sports industry. These technologies enable a deeper understanding of user preferences, fan behavior, and game dynamics. Generative content tools allow for tailored messaging, customized content, and personalized recommendations, enhancing fan engagement and motivation.

But what exactly does data analytics entail in sports betting strategies? Data analytics in sports betting involves the systematic collection, organization, and analysis of extensive historical data sets. This includes team and player statistics, past match results, injuries, coaching changes, and weather conditions during games. By thoroughly analyzing this data, valuable insights can be gained to inform strategic decisions and increase the chances of success.

For example, Angstrom offers a gradual approach to price setting for sportsbooks with play-by-play level predictions of every event or action that contributes to a game. In our Sports Betting Conversations interview, Sion Colley, CEO at Angstrom Sports, shared how his company tackles predicting outcomes in MLB, NBA, and NFL games.

So, we put in place the framework, we put in place the way in which the game is played. We see how players and coaches react to different situations and then set up these scenarios in a virtual environment where the model plays the game out multiple times. This allows us to determine, for example, that 67% of the time, one outcome occurs, and 22% of the time, another outcome happens.
Sion Colley
Sion Colley

Ricky Gold, Founder & CEO of Juice Reel, a betting tool that helps bettors make more informed decisions by analyzing their betting history, also explains how bettors can improve their decision-making by analyzing their behavioral statistics.

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We're a tech-focused company, and with our app, we rely on lots of real-time information, tons of data moving around, and creating a seamless user experience. There's nothing more important than deciding on what your tech stack is and making the right decisions about how to integrate tons of different data sources.
Ricky Gold
Ricky Gold

The Juice Reel app allows users to gain insights into their own betting performance, including stats on straight bets versus parlays and teasers, top sports, and least favorable teams. With data from multiple sportsbooks, the app helps bettors make informed bets at the best odds.

When we talk about AI in sports betting, we're not merely talking about gathering data or transforming information into something meaningful. An example is Invincible GG, a gaming solution that redefines virtual sports with AI-powered technology to build learning systems that focus on the performance of specific horses, basketball players, or fighters to develop autonomously. For example, if we consider horse racing, the technology behind the solution enables horses to behave more realistically, making split-second decisions to enhance their odds of victory.

Our technology enables horses to behave more realistically, both individually and as part of a group. They adapt their tactics and strategies during races, making decisions on the fly to improve their chances of winning. It's not the players directing them; it's the horses themselves, learning and evolving as they compete… Owners play a role in instructing and shaping their development, but we also want these entities to learn on their own, to grow and surprise us with their abilities.
Jonathan Strause
Jonathan Strause

These examples demonstrate how AI and data analytics are reshaping the sports industry. Data analytics tools provide deeper insights into user preferences and game dynamics, enhancing fan engagement. Admittedly, solutions like Angstrom Sports and Juice Reel enable more informed decision-making in sports betting. At the same time, Invincible GG shows how AI empowers entities to improve performance, as seen in horse racing.

AI and Personalization: Epoxy.ai and Voxbet

Personalization is driving the future of the industry, distinguishing businesses and fostering loyal fan bases. While many media platforms offer tailored experiences, sports betting apps have not yet effectively utilized in-app personalization to gain an edge on the competition. Operators need to capitalize on significant benefits, ranging from immediate improvements in usability and satisfaction to long-term increases in engagement and retention.

In his interview for Sports Betting Conversations, Chris Reynolds, CEO and Co-Founder of Epoxy.ai, shared fascinating insights into personalization and his platform, Epoxy.ai, an AI/ML-based personalization technology that provides tools that help sports leagues, betting companies and media entities develop new forms of customer acquisition, engagement, and retention.

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The sports betting industry shouldn't be any different than the music industry or the video industry as far as how the products and services are designed to meet the user where they want to be met. Putting the right things in front of them at the right time encourages them to engage and drive frequency and retention.
Chris Reynolds
Chris Reynolds

Epoxy.ai’s solution aims to personalize that experience by using metadata, data, user history, and other characteristics to create a new and more engaging experience for sports fans. The technology platform is built on AI and ML, leveraging these technologies to bring users closer to their interests in a contextual manner.

Personalization can also incorporate voice recognition technology, adding entertainment value and enhancing navigation ease on sports betting apps. Currently, users on sports betting platforms typically access all content through the same menu options. With its AI-powered hands-free betting solution, Voxbet is revolutionizing sports apps navigation.

Voxbet introduced a voice widget that sportsbooks can integrate into their betting site or app. It functions similarly to the voice message tool on WhatsApp, allowing users to press and hold a little microphone icon and speak their request.
Jonathan Power
Jonathan Power

Responsible Gaming and AI: Fanatics and U.S. Integrity

While the benefits of AI adoption in sports betting are clear, certain challenges remain to be considered. These challenges span from security and privacy concerns to ethical dilemmas and the risk of excessive dependence on machine-generated forecasts.

Although AI promises to improve player safety and elevate customer experience, concerns exist regarding its potential to exploit players by encouraging excessive spending. Operators must find a balance and prioritizing AI for player safety should form a fundamental aspect of any operator's AI strategy.

For instance, AI can detect problematic gambling patterns early on, identifying potentially addicted or high-risk players before they seek help. By adjusting or filtering player offerings, online betting companies can mitigate the risk of gambling addiction, providing additional safety measures for vulnerable players.

Fanatics is working actively to adopt AI to enhance responsible gaming practices. The company started a collaboration with AWS and Databricks to address the issue of responsible gaming, taking measures to monitor customer behavior for signs of problem gambling, offering support and suspending users when necessary.

We aim to develop an ML-driven framework to predictively identify customers early in problem gaming, thus preventing significant financial losses or account suspensions. Behavioral data analysis forms the core of this approach, offering rich and abundant data for machine learning algorithms to process. Our company's responsible gaming programs facilitate the inspection of results, distinguishing between genuine cases needing support and false flags.
Madeleine Want
Madeleine Want

Another side of dealing with enormous amounts of data for any abnormalities is security and confidentiality issues. Matthew Holt, former CEO of IC360 (formerly U.S. Integrity and Odds On Compliance), a company that specializes in providing comprehensive compliance and integrity solutions to sports leagues and sportsbooks across the U.S., shared his vision:

One of the challenges with the data is that it never comes in standardized formats; no matter how easy we try to make it just to be a simple API in and out, it's always challenging… And we understand that the day we start messing up data, breaking confidentiality, or losing our client's trust, it will be a mass exodus. So, we put a lot of thought and care into handling data, who has access to that data, and how that data is shared.
Matthew Holt
Matthew Holt

Conclusion

The sports betting market's growth underscores AI's increasing role in the industry, emphasizing the importance of a balanced approach to AI implementation that combines technological advancements with human oversight. To learn more about sports technology and trends, follow DataArt's Sports Betting Conversations, where we meet with industry experts and dive into the latest sports betting advancements.

Are you looking to elevate your sports betting operations to the next level? DataArt is here to empower you with cutting-edge solutions that can boost efficiency, expand your market reach, and provide a technological advantage over your competitors. Explore DataArt's strategic sports betting solutions.