Big Data and its growing importance in the sports industry have played a big role in the popularization of sports data companies. The role of the companies is simple to collect live or historic data, compile it, analyze it and distribute it throughout the industry with their predictive insights. The data insights would then be used by sports teams, leagues, or broadcasters as well to drive engagement. 

Big data is truly an asset to such companies they derive their insights based on analytics and offer relevant data to the users. With the first-ever winter, World Cup just a few months away here are a few ways with which Big Data can be used in FIFA World Cup.

Big data solved the most prevalent problem in the field of analytics. It provided companies with huge amounts of data that could be analyzed and used to create insights. Earlier data collection methods were subpar and even the storage cost was extremely high which hindered the evolvement of big data analytics and limited the potential it held. But Big data analytics is possible today and with better tools and a range of parameters we can assess the performance of 36 countries that would be taking part in Qatar 2022. Their historical performance would help map the team’s current performance and how they would strategies against rival teams. The team of data scientists would individually isolate the teams and look at the difference in the level of performance when they were playing as the host country, whether or not they had access to the host ground or how the environmental factors like continent would affect their game. 

Some Big Data models utilized the most common way of attempting to grasp the effect of the presence or nonattendance of a singular player in it. Such models can resolve how the group will perform and can likewise measure the effect by creating circumstances that could result if the team made changes to the lineup, and swapped their players in between the match. A such detailed analysis would quantify the impact of a particular player and how the team will perform. This can ultimately be used by teams to analyze the impact of a player on the end results and thus they can develop strategies accordingly. 

Data analytics organizations even ran multiple simulations of competitions changing different parameters every time to analyze, evaluate and arrive at probabilistic predictions. Utilizing innovation to examine all past matches and afterward utilizing it to make a match that imitates what the impending one is supposed to be, it assisted the teams to be ready for the upcoming battle and have a plan of action memorized for gameday. 

Key parameter identifications became easy with big data. Indicators like the number of contacts with the ball, the speed of players, and normal possession time are vital components in the success of the team. A few teams which involved Big Data for their performance evaluation and tracking have arrived at the same conclusion that there are some key parameters that can offer a lot of details about the rival team. This sort of top to the bottom investigation also permitted them to amend issues with their own preparation, it would give them a better understanding of what is affecting their game and help them become more ferocious rivals. They attempted to further develop the parameters that had gaps as well. 

Did you know? The German Football Association in a joint effort with SAP had fostered a device that was based on Big Data during the FIFA World Cup so that they can analyze their game and their opponents as well and work on developing some competitive advantage through the use of Football Live Sports Data and data analytics tools.

While the impact of Big data is huge but it would not estimate results accurately every time the experts and researchers have to apply their abilities and information they possess to transform the raw FIFA World Cup data into information that can be useful to the world at large. 

Want to know more about how Data Sports Group can help you get access to Football Data Feed which can be used for Data Analytics during the upcoming FIFA World Cup in Qatar? Get in touch with our team today!