The Role of Data Analytics in Soccer Betting

The role of data analytics in soccer betting has improved tremendously in recent years. The development of new technologies has increased the number of tools every punter can use for soccer betting. To be successful in betting one needs to know how to read the data analytics.

Also, using data analytics can help you build a betting strategy that can calculate the stake for each bet placed.

The history of data analytics in sports

Data analytics in sports was first used in the USA for a baseball game. Such a stat has cinematographic roots with the movie Moneyball, starring Brad Pitt, based on a revolutionary system used to analyze the performance of a team using key metrics like:

• on-field performance
• off-field analytics

In the late 90’s, analytics gained more popularity for soccer betting as well, reaching new heights with the latest development of Artificial intelligence. Today, you have more data than ever to help you make better betting decisions.

Although data analytics are important in soccer betting, how you understand and interpret the numbers will make the difference between a losing and a winning bet.

What is the role of data analytics in soccer betting?

The role of analytics is very diverse in soccer betting. The two most important factors in sports betting using data analytics are:

• to improve predictions
• to set up a successful betting strategy

Improving match predictions is very important for long-term success in soccer betting. You can use different sources of  information and tools to improve predictions like:

• match result
• goals scored
• corners and bookings
• which player will score in the match

You have to master match predictions and the betting strategy to increase long-term success in soccer betting. Both variables are equally important in betting.

How to improve soccer betting using a data analytics tool

Once you decide which betting market to explore, the next step is to set up a betting strategy using a data analytics tool. The tool will help you calculate the stakes for each bet, leading to better risk management.

For example, you decided on using the Asian Handicap betting market and Martingale as a betting strategy. The data analytics will help you improve the predictions leading to a better win/lose bets ratio.

However, since it will be impossible to win all bets, you need to cover the losses to avoid losing the entire bankroll. The Martingale system will calculate the stakes for each bet when you are on a losing streak, helping you lower the risk of going bust.

How to collect analytics for betting

Collecting analytics for betting is straightforward. All you have to do is find some reliable sources of information and extract the data you need, depending on your betting goals. I advise you to research before you collect data analytics and establish which source of information has proven accurate for a long time.

Besides tutorials and match predictions on our website, I recommend checking our news section and data analytics page. You will find trustworthy and accurate data that will help you make a better decision before you place a bet.

Depending on the type of bet, gather the following data analytics:

• match result – the recent results of both teams, h2h encounters, home-away record
• over/under 2.5 goals – the season average goal scored for each team, goals scored by each side in the last three games, latest h2h results
• total bookings – referee’s bookings season stats, how many aggressive players will feature in the game, the rivalry between the teams

You can use the same method to collect data analytics for other types of bets. If you are unsure about information on a website, go and check them using other sources and see if they match.

Soccer betting strategies using data analytics

By using soccer data analytics, you can test and set up a successful long-term betting strategy. To illustrate better how this works, I gave an example using the full-time draw results of Ligue 2 side Rodez.

The French 2nd-tier football is well known for boasting high numbers of draws each season. Rodez is just one of the sides that proves this point. See below the data analytics I pulled from three reliable sources to set up a season-long betting strategy backing Rodez to draw.

Laurent Peyrelade is known as a coach who sets up his team to defend, rather than attack. Looking at the previous season, I decided to back Rodez to draw. Notice after 25 rounds almost half of Le RAF games ended in a stalemate.

Although the Ligue 2 side failed to give me a good return at the start of the campaign, a series of eight draws from 11 matches was more than enough to make a decent profit. Notice that just two of the first eight games ended in a draw.

Being in the game for a long time and experiencing this situation in the past, I minimized the risk of losing too early my entire bankroll by allowing eight consecutive losses before I went bust. This is critical to be successful in soccer betting.

Make sure to cover as many losing bets as possible and set up a long-term betting strategy using excellent data analytics. Also, looking at Rodez’s results, I consider I had the chance on my side losing only four consecutive bets.

Since the average odds for each draw were 2.82, I used a data analytics tool to calculate the stake for a variation of the Martingale betting system I used. This came very handy since it was all done automatically and fast.

You can also take advantage of the role of data analytics in soccer betting for any other betting strategy. Use the same principles I described above to place ACCAs or in-play bets. Gamble responsibly using only the money you can afford to lose.