Importance of Gaming Analytics In Esports

Have you ever heard the phrase “numbers don’t lie”? That is the basis behind analytics. In this context, gaming analytics is the science of using data to gain insights on in-game performance.

Victor Goossens, the co-CEO of the highest-ranking esports organization, Team Liquid, once said: “As with any sport, it is incredibly important to review what went right and wrong.”

Studying the data generated in an esports matchup, you can get a good look at the player performance during the game. Furthermore, it can give you insights on your opponent’s strategy as well.

With this type of information, gamers can analyze their strengths and weaknesses and consequently improve.

“…at this highest level, every small improvement can make a huge difference…”

Victor Goossens

In that vein, becoming one of the best esports players goes beyond talent. It has a lot to do with the quality of data you have access to. That is one of the services we, at Gamercraft, offer our clients; esports analytics and high-performance training.

The Rise of Gaming Analytics Providers

Gaming analytics is a huge part of the esports industry, and big data companies are getting involved. They are using advanced technology to make the best sense of the data available to them.

For instance, sometime last year SAP, an enterprise software company, signed a 3-year deal with Team Liquid. The aim is to provide reliable gaming data to the esports organization.

Due to the importance and need, lots of companies have sprung up with the sole aim of providing esports data analytics.

How Gaming Analytics Is Used

Most eSports titles are quite strategic and, at the highest level, super competitive. These are some of the reasons gaming analytics are often used to take whatever advantage is available.

These data are also used by the esports titles to improve the user experience and keep it exciting. Hence, the update you get to download.

Game developers such as Valve, the owners of Dota 2 and CS:GO, collect and make available esports analytics for their games.

Big data companies process this information into useful data that esports coaches and players can use. Now, let’s take a look at how gaming analytics are used.

To Improve Performance

We’ve mentioned this before, so let’s go into some details. Esports organizations have coaches, often retired gamers themselves, whose job is to help the players fine-tune their skills.

For instance, esports data could help a player notice that a particular in-game structure provides good cover.

Data analysis can often provide insights into an alternative route to a destination that gives you a positional advantage to take enemies out on your way.

There are also artificial intelligence (AI) esports analytics platforms that provide tips on mobility and better use of weapons.

To Understand Opposing Teams

The saying “keep your friends close and your enemies closer” applies here. As you study data to improve your performance, so should you study data from the opponent’s gameplay. This will help you acquire insightful information into your potential opponent’s strategies.

Undoubtedly, this will give you an advantage over them provided they’re not doing the same. If they are, then it comes down to who can interpret and use data better.

To Create Winning Strategies

Esports data can be overwhelming and almost impossible to comb through manually. This is why coaching and esports analytics platforms like Gamercraft deploy AI to make analysis easy.

Using neural networks, AI can be used to study the opponent’s plans and strategies revealed from their past gameplays. It will then use that to develop a strategy that can effectively counter what it has learned.

All you have to do is practice that approach and master it. You will agree that this will increase your chances of getting past the opponent in a live game.

To Improve Marketing

The world of esports goes beyond competitive gaming. Esports professional players are celebrities in their own right and have followers on social media.  One way they interact with their following is through streaming.

Individual fans looking to hone their skills in their favorite esports game can find esports data useful too.

Some platforms offer strategies and useful tips pro gamers use when they practice. For instance, I could get insights into how Faker builds his favorite LoL champion.

Esports organizations too can use gaming analytics to determine which merchandise fans have been showing interest in and then act accordingly.

Esports developers too can use gaming analytics to discover features within the game that users enjoy the most and inculcate it into a new MOBA title.

Almost any business will increase its performance if it uses reliable data to make decisions. This is exactly what pro players do with gaming analytics.

If you want to take advantage of this for yourself, contact us and we’ll unleash the pro in you.


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