A few days ago, I was engaging a few friends on Fortnite and something struck me, the gameplay analytics displayed on our screens. The display replicates real live broadcasts and it was fascinating to see. My curiosity level arose as to how the extraction of data in online gaming was carried out – AI-assisted or manually-driven?
During my research process of verifying the application of Esport Data Analytics, it came to light that extraction of those data is done using live games and past results hence, the result displayed on my Dota 2 screen. In this write-up, I have highlighted the major influences of Esports Data analytics, opportunities, and technical processes involved. So, let’s get on with it!
The Development of Esports
In recent times, the engagement of professional gamers in major online games (with multilayer features) like FIFA, Dota 2, PUBG, and so on, has witnessed a massive upturn. This growth is evident as seen in the data released by the makers of FIFA showing that the online game has over 25 million registered users as at May 2021. Jo k
Major Tech giants like Microsoft and Twitch have since moved to explore the business side of esports. The geometric increase in esport market share is subsequently attracting major investors to the game. A clear illustration of this is the ownership of Twitch and Mixer by Amazon and Microsoft respectively.
Twitch is a streaming platform with over 2.2 million daily broadcasters and 15 million average daily viewers. Global competitions and esport management is done using these streaming platforms for wider reach. A clear example is a peak reached by Dota2 in 2019 after over 4 million viewers registered for the finals and Over 33 million dollars was reached in the prize pool.
In essence, a market like Esports is bound to attract investors considering the geometric increase in growth across the board. With this increase comes huge opportunities with better pay.
Importance of Data Mining in Esports
Rich experience in esports gaming has grown weak in recent times. As a matter of fact, data mining in esport has taken over. Although it is not an entirely new concept, it has grown to be a key metric for measuring success. One major importance of data mining in esport is that it gives an improved look and vision into the market which can be used for improving consumer demand. With esport data mining, product evolution is encouraged for better service offerings.
In addition to the above, esports data analytics through optimum mining has given rise to the birth of esports betting. Professional gamers can then use the rich data mining to make improved results.
Opportunities in Esports
There are infinitely many opportunities in the esports ecosystem through which businesses can be launched. Looking closely, there is no singular network that connects online gamers aside from popular streaming platforms like Twitch and others. An opportunity in the esports ecosystem is to have a fantasy league app – something similar to a fantasy premier league. This creates community management where predictions and selections can be made. Users can make predictions using existing data of past games to make improved decisions.
