How important is data analysis when it comes to golf betting?

Sports betting is currently one of the most popular entertainment options in the world and of course UK punters can bet on golf since Noah was a boy. With ever-improving technology, data analysis in golf betting is becoming the driving force of the industry, and it really does make a difference in a gold bettor’s decision-making.

Not only is there more data available on the tours themselves, allowing bettors to consider an ever-increasing number of variables, there are also a number of sites such as formgolfer.com that have sprung up and who manage this data themselves.

What is Data Science?

Data science is the process of incorporating various scientific methods, models, and algorithms to analyze, interpret, and discover knowledge from large volumes of stored data. With the improvement in technology, it has been some time since data analytics has been implemented not only to improve player performance but also in the sports betting industry associated with it.

For example, PGA Tour partnered with CDW in 2003 to integrate a ball tracking system known as ShotLink into their games. To date, their records of over 174 million strokes and 80,000 hours of video have yielded valuable insight into golf performance trends.

How does data analysis modulate sports betting?

A round of golf takes place over a period of four days. Sports betting sites have come up with micro-betting opportunities, which means bettors can place a bet at any time during a game. Experienced bettors may know that hitting the fairway means a better chance for a golfer to score under par and that only a third of putts are scored from over 20 feet away.

But how did we get this information? Data obtained from advanced collection systems and their interpretation through various techniques have rendered us discrete statistics that will act in favor of players who follow a logical path in betting. The tiniest aspects like shoulder movements and club grips can change the outcome of a game, as obtained from data analysis.

Bookmakers Incorporated Data Analysis

Bookmakers, who are involved in placing bets, calculating odds and payouts, are the ones who came into contact with data science before players. They used past data such as a player’s performance in particular locations and weather conditions, popularity and current form, and playing times to calculate the odds. They can also limit the number of bets placed in favor of a potential champion. It was initially done in a more primitive way, but digitization has endowed us with better sampling and analysis techniques to completely improve sports betting.

Improved analytics

Mark Broadie of Columbia University is quite a famous figure in the golf world among players and fans alike for his contribution to the game. revised the traditional metrics used to calculate odds. Broadie applied mathematical techniques and dynamic programming to simulate thousands of shots using different clubs and different targets to decode the most effective ones. These have led to the debunking of common golf myths like driving distance and putts per turn regulating the game. Rather, approach shots determine the outcome at 40% and only 15% in putting. Simply put, the long game mattered more than the short game.

Where are the bettors?

A normal bettor is unlikely to apply advanced data analysis techniques during a match to improve their betting results. However, according to the notion “something is better than nothing”, a bettor can begin his studies before the start of a tournament to analyze player forms and performance trends. This traditional method of data analysis can at least help a future bettor select legitimate betting sites that do not engage in odds manipulation and other fraudulent activities. For example, GOLFstats and the official PGA Tour website have proven useful in accessing a huge amount of statistics with great granularity (e.g. player driving average). And then there’s Data Golf, which has developed a live prediction model to calculate the winning probability of players participating in a PGA Tour event.

Data analysis is the axis of golf betting

Technological advancements have benefited golf players and coaches through the automated collection and analysis of data in a digitized format. As things stand, the betting industry also revolves around these techniques. With statistics and tools in hand, it’s only a matter of time before the masses start using analytical techniques in their betting strategies. In short, we can expect golf betting to go from luck to strategy, thanks to data analysis.