Esports has experienced steady growth in recent years. It’s a big business with around 380 million viewers worldwide and revenue exceeding $865 million in 2018. Esports events attract a multitude of supporters and competitors alike, with the stakes involved in these events also quite high. An example is the Overwatch League that debuted in January 2018, which saw teams competing for the top prize totaling $3.5 million. Now, competitors turn to data analytics to help them prepare for these championships.

What is big data and why it’s useful in esports?

You can define big data as information used to assist competitors to improve their performance. The study of this data (data analytics) has been undertaken in the world of traditional sports first. But now, it’s widely used in esports as well to give teams a competitive advantage. In esports, the data that the teams are interested in comes from scrims (unranked matches), previous games and tournaments, statistics on competitors and any other information that a gamer can use to help improve their performance.

Using Big Data on a Bigger Scale in the Future


Imagine competing without having the knowledge of your opponent’s strengths and weaknesses. And while people still tend to think that winning is solely the result of skill, dedication and luck, professionals know that coming out on top in competitions is the result of using strategies you come up with after analyzing your competitors’ past performances. Only then would you be able to come up with strategies that give you that competitive advantage you need to crush your opponents.

Although losing a competition is a disappointment, repeating the same mistake that cost you the cash prize is even worse. That is where data analysis comes into the picture. Data analytics make it is possible for you to look back at your past performances and identify your weaknesses and strengths.

Esports events can also benefit from big data. Event planners can use the data available to improve the experience of the attendees by adjusting schedules on the fly and using advanced crowd management systems like radio-frequency identification. They can also implement technologies that will make esports events more enjoyable by allowing for customized user experiences.


Increasingly, the development of sophisticated application program interfaces (APIs) helps better manage the gaming experience as well. Cheating and inappropriate content are examples of the problems that efficient use of big data can help to curb. Even further, team scouts will also take advantage of the available data to help them add skilled gamers to their teams. And finally, big gaming companies will want to increase revenues by using data to customize their adverts. All this will make the world of esports safer, better and more competitive than ever.

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