Fantasy apps have gradually become the most popular apps for people who love engaging in sports. These apps allow a user to experience the game closely as they can play along with their fantasy teams and predictions.
While fantasy app users simply focus on enjoying their favorite game with a little bit of skin in the game, fantasy sports app development companies have to work on different aspects to make the experience worthy for their users.
Especially with the evolution of so many technologies that can make the experience of users more realistic and accurate. One of the key players in developing a well-configured fantasy app is data analytics.
With the help of data analytics, app developers can fetch better insights into games, which makes the game more engaging for a fantasy player.
However, did you know that the advanced version of data analytics is now available to be implemented in the app development process called predictive analytics?
If you are wondering what predictive analytics is and how to use it in fantasy sports app development then this is the post for you! In this article, let us take a closer look at predictive analytics as a concept and understand how it can be used.
What is Predictive Analytics? An Overview
As mentioned earlier, predictive analytics is an advanced version of data analytics, derived from the data science of business. Predictive analytics is used to deploy data analytics tactics to process data to the degree that it can be used to predict what might happen next.
Predictive analytics is usually used with big data as the data sets available for processing and analysis offer more insights and can help break down the situation to predict the next outcomes.
It is used to predict future outcomes. It requires a lot of data insights and technologies like machine learning, data analysis, artificial intelligence, and statistical models to be executed.
What it does is it breaks down the available data and starts finding correlations between the different entities in the data and when it reaches the final data set, it uses a statistical model to predict plausible outcomes.
How Predictive Analytics Can be Used in Fantasy Sports App?
Knowing what predictive analytics is, you might have an idea of where we are headed with this. Using predictive analytics when you want to create a fantasy sports app can be beneficial for the overall data processing of the application.
One of the key factors of a fantasy sports application is the insights that it offers for a particular game or player. Users from across the globe are interested in knowing personalized insights about their favorite players and their users.
To implement predictive analytics in a fantasy sports apps, you need two core things –
- Endless Data
- Model Development
Endless data here refers to large volumes of data about every player, every match, every stadium/ground where the match is taking place, and all the possible stats.
This data is going to serve as the base of your predictions and unfortunately, predictive analytics cannot work on limited data.
Now, when your data is sorted, what do you do with it? You run it through a statistical model to break it down, create correlations, and identify patterns to predict future trends.
For model development, you need to use techniques like regression analysis, decision trees, or neural networks, whichever you can implement better.
Use Cases of Predictive Analysis in Fantasy App Development
As far as the use cases of predictive analysis are concerned, it can offer some cutting-edge insights to the users, making them more inclined toward your application. Some of the use cases that it offers are-
♦ Player Performance Prediction:
The first area in which predictive analytics can help is player performance prediction. This refers to identifying how much a player might score, and what may be the status of a player’s health based on their medical history and previous injuries.
Predictive analytics can even help you identify newer players who have the potential of breaking out, making it more fascinating for any user.
♦ Personalized Recommendations:
Predictive analytics works with machine learning to generate recommendations that are personalized to individual users. With the help of predictive analytics, you can recommend specific players as per the requirement of the user when they are choosing their teams.
These recommendations can also help in optimizing the entire lineup and game settings by suggesting what type of league settings they should play in, what type of roster they should decide on, etc.
♦ Detailed Data Analysis:
When you are planning to develop a fantasy application, you are going to integrate data analytics into your application. By going a step further and implementing predictive analytics, you can get a better analysis of the available data. From the point of view of a fantasy app owner, predictive analytics can help you make better decisions for your business by identifying user patterns, leading to better execution of features and enhanced user experience. All of these translate to more revenue as it attracts more users.
Predictive Analytics: The Future of Fantasy App Development
Not only does predictive analytics allow you to improve your fantasy sports app, but it also allows you to make it more user-centric, engaging, and interactive. While it may be a bit costly to implement technologies like machine learning and artificial intelligence, it is worth doing so.
Implementing these as they can offer a better return on investment. If you are planning a fantasy sports app of your own, make sure you keep predictive analytics on your priority while getting it developed.
Hope this answers some of your questions related to the use of predictive analytics in fantasy apps. That will be all for this article. Thanks for reading, good luck!
