Data Analytics when driven by artificial intelligence magnifies the traditional application of post-match analysis in any sport. Golf is no exception to Machine learning-based data analytics even though it is one of the oldest competitive games in the world today.
Thanks to artificial intelligence golf is redefining the crossover of technology and sports. Discover how drive-analytics can help you unlock the hidden data in your business…
Golf today is more than a pure putting experience, as talented players in closely-competed tournaments win or lose millions of dollars in a single swing! The attraction of rich golf tournaments coffers and the easy access to technology that can drive golfing talent to win big titles have changed golfing. It has morphed from a traditional, social competition among senior business executives and rich entrepreneurs to a nail-biting, intensely competed, computing, a powerful sport that relies heavily on data analytics!
Analytics is primarily being used in golf in the following ways:
Viewers of the game are given updated information on the conditions of the game, which shot should be played and which should not be played. Analysis of the individual games of the competitors, their errors, or winning shots is broken down for fans to understand the game of their golf heroes!
In the following sections let’s analyze why data analytics is being used extensively in golf…
Even before the explosion of modern data analytics, golf has traditionally been a game with loads of statistical data. Artificial Intelligence, mainly the ability of machines to learn and predict the pattern has led to golf becoming dependent on advanced data analytics.
Traditionally, golf statistics is collected by tracking
The use of multiple analytics techniques and algorithm-driven processing has led to several golfing insights at the individual level. The statistics data that should be primarily focused on are – three puts, penalties, and two chips.
Data analysts like GolfTEC, in a massive data-investigation project, analyzed 225 terabytes of data collected from 13,000 pros in 48 body motions per swing to conclude that six key areas of play, separate an excellent golfer from a competent golfer.
Swing DNA is an intense area of analysis by using granular monitoring of motion variations. This tool uses an HD camera, transmission from the motion of the golf club, and golf ball (Ball Detection) to alter the frequency of waves to track the moment for the club to hit the ball.
As with most big-ticker sports, data analytics is driving the way golf is played! The availability of a wide variety of AI-driven golf apps is a major factor that is driving the popularity of the game. Professionals and serious amateurs are able to improve their swings, shots, strategize on how to play the game by analyzing the capabilities of their competitors. Coaches are using advanced analytics to help groom talent and propel wards to win tournaments! Big data analytics is driving the essence of golfing today!