The Impact of Big Data on Handicap Sports Betting

To ace the game of betting, bettors need to be good at simplifying and analyzing complex data. The advent of fast-emerging technologies such as AI and big data has completely revolutionized the way betters interpret and use data. This has majorly impacted the handicap sports betting industry. Streamlining past performance data, identifying value bets, creating new revenue streams, and delivering flawless betting experiences is one of the key application areas of big data. Big data can be used to analyze and predict each facet of the game ranging from individual player performance to the final scoreline. Moreover, bookmakers also extensively rely on big data technology to figure out which bets have a higher chance to win. Let us commence our discussion by understanding what big data is.

Introduction to Big Data and its Mechanics

Decades ago there were no technologies to simplify and understand copious amounts of data. Yet, organizations still used to use a few techniques to make sense of such vast data. However, it required a lot of paperwork and manual processes, which is bad for the organization’s productivity. Moreover, the operations were prone to errors. Then, data processing software came to the forefront and even they become inefficient to deal with large and complex data sets. Marketers coined the term big data for these data sets, which cannot be analyzed by traditional techniques. Nevertheless, analysis of big data using AI and machine learning algorithms provides great business insights to organizations and helps them detect complex trends. Essentially, it renders a powerful way for corporations to understand the market and gain a competitive advantage.

How Big Data is Influencing Handicap Sports Betting Industry?

Though big data is a relatively fresh concept in the sports betting industry, sports betting companies have begun to recognize its multifaceted importance. Applying machine learning algorithms and AI models allows bettors to predict future events in sports in real-time. For example, Sportradar, a multinational sports corporation, has created a program called Soccer Goal Predictor that predicts when a team will score with unbelievable accuracy. Furthermore, sports betting companies also use big data models to record player-tracking data. Using such models, bettors can analyze aspects such as point touches, drives, speed, defensive strategies, etc. They can also use big data to record and interpret in-game statistics to quickly identify high-value stakes. Essentially, AI in combination with big data provides a complete overview of a player’s health status, in-game awareness, intelligence, and performance levels. Gaining insights from such data sets massively improves the odds of success and gives bettors a competitive advantage in the market.

Conclusion

Big data has now become an intrinsic technology across all domains such as investment, business, education, finance, and sports. Particularly, in the handicap sports betting industry, it has revolutionized the way bettors perceive and understand in-game statistics and player tracking data. It has vastly improved the decision-making of bettors and their ability to recognize high-value bets. Moreover, it is a useful technology to improve bettor engagement and helps in ensuring an immaculate betting experience.