22, Apr 2024

How to Create Sports Analytics Software

Sports analytics software provides an in-depth look at performance, player tracking, data analysis, and more. Creating this tool requires comprehensive knowledge of the nuances and an understanding of the development journey.

How to Create Sports Analytics Software


Dmitry Boyko, Android Team Lead

Max Logvinenko,
Solution Architect, Backend Team Lead

Max Logvinenko, Solution Architect, Backend Team Lead

Max can boast a deep understanding of Node.js and PHP Symphony. He is passionate about delivering high-quality and efficient software solutions and has designed the architecture for many of our projects from scratch.

Based on key data statistics for 2022, 2.5 quintillion(!) bytes of data are generated daily. This unprecedented volume of information empowers entrepreneurs and fuels businesses with precious insights. One field that has particularly benefited from the data techniques available today is sports analytics, where data plays a pivotal role.

Teams, coaches, and organizations can get data-driven insights using sports analytics software that gathers and evaluates info smartly, covering player statistics, injury records, game reports, and more. This software helps teams make better decisions, like when picking the right players, composing better strategies, and optimizing training programs.

This is why it is high time you built your own solution for analyzing information ranging from individual player performance to strategic decision-making at organizational levels. In this article, we share exactly how you can do that.

Overview of Sports Analytics Software

Christina Gough, research expert in sports and video gaming, says the sports analytics market will grow a lot very soon, demonstrating a 22.3% CAGR from 2023 to 2030. This growth is due to the rising importance of on-field data analysis which in many ways drives team performance, player tracking, injury prevention, and personalized training.

US sports analytics market

How exactly does sports performance analysis help coaches?

Game reporting

It transforms on-field gameplay videos into structured, readable data. This data is overviewed and analyzed to optimize team performance. For this, advanced video and data analysis algorithms examine every second of recorded gameplay, pinpointing problematic areas and whatnot.

On-field strategizing

Coaches can also strategize field positions and game scenarios on maps or fields with better-informed decisions. Sports video analytics software can be tailored to track key metrics for any sport, such as total football interceptions. It can track each athlete's stats and game performance over time. This allows coaches to spot strengths and weaknesses and make custom training plans for each athlete.

In-depth player KPIs

Innovations in big data, computer science (AI), and machine learning (ML) have given a huge push to sports analytics. Advanced analytical techniques allow us to analyze key performance indicators, such as player performance in various conditions, opponent response, and particular game conditions. They also help provide recommendations of the best-suited players for particular situations.

Furthermore, based on our team’s experience, using support vector machines and deep neural networks lets coaches and managers forecast winning probabilities and team combinations.

Benefits of Sports Analytics Software

There are many benefits to using data analytics in the world of sports, including:

  • Injury prevention. By tracking data on player movements and physical performance, coaches and trainers can identify potential injury risks and take preventative measures before they occur.

  • Better game strategy. Sports data analytics software can help coaches and teams develop game plans that consider their strengths and weaknesses and those of their opponents.

  • Improved fan engagement. Fans love statistics, and data analytics provides them with a wealth of information that they can use to gain a deeper understanding of the game and its players.

  • Enhanced accuracy. The accuracy tracking technology used in sports like cricket and football improves the game's overall quality by giving a more precise and unbiased perspective on whether a ball has been pitched or whether a goal has been scored.

  • Real-time statistics. Heart rate, speed, and acceleration are a few examples of the data that can be collected and analyzed to help coaches and fitness doctors plan training and rehabilitation programs.

  • Increased revenue. Ticket sales are a key source of revenue for sports clubs. Our experts believe custom sports analytics software can help understand the trade-offs that fans make between various factors, such as seat location, food and beverage options, and other alternatives in the club section.

Benefits of Sports Analytics Software

Types of Sports Analytics

When it comes to sports analytics, two main approaches generally shape the whole process.

On-field data analytics

This approach seeks to identify the most effective strategies for improving in-game performance, nutrition plans, and other critical areas that impact athletic performance. On-field player KPIs are studied to answer critical questions about player performance and optimize field games as much as possible.

Off-field data analytics

Now, this is an important aspect of sports analytics software that focuses on the business side of sports. It includes tracking essential business indicators like ticket sales, product sales, and fan involvement. Teams can utilize data analytics to identify which marketing methods are most successful for selling tickets or goods.

Off-field data analytics also helps teams optimize revenue streams by identifying new growth opportunities. By analyzing fan behavior and preferences data, teams can tap into new areas of potential revenue, such as sponsorship deals or new product offerings.

How Are Sports Analytics Used Across Various Sports?

Sports analytics is a growing field used in various sports to improve performance and gain a competitive edge. Some of the most popular fields where sports data analytics software is being used are:


It was one of the first sports to use analytics. Ever since, baseball teams have gained a competitive edge by analyzing player performance, evaluating opposing teams, and optimizing game strategy. Metrics like on-base percentage, batting percentage, and earned run average have become critical tools for assessing players.


The NBA has been at the cutting edge of utilizing analytics to enhance performance. Teams use data to analyze player performance, optimize lineups, and check opposing teams. Metrics like effective field goal percentage, true shooting percentage, and player impact estimate are used to test players.

How Are Sports Analytics Used Across Various Sports


The Rabbitohs, an Australian Rugby Club, wanted to create a customized mobile application to optimize media operations and increase fan interaction. The club imagined a one-of-a-kind application that would cater to their needs while providing a personalized experience for followers. The client delegated responsibility for bringing this vision to life to Requestum, giving us a detailed plan for a Minimum Viable Product (MVP).

We aimed to create a user-friendly mobile app that would be a complete hub for everything Rabbitohs, from match scheduling and ladder standings to the most recent team news. In addition to keeping fans informed, the application aimed to deepen the link between the team and its supporters.

Our custom sports analytics software offers a seamless and personalized experience for Rabbitohs fans.

Essential Features of Sports Analytics Software

Our expertise lies in developing uniquely designed and tailored sports analytics software to meet the exact requirements of both teams and managers/stakeholders. Recent advances in AR/VR, biometrics, 2D/3D imaging, Big Data analytics, and video-based sensing have resulted in highly advanced software functionality.

However, some of the basic and must-have features to add to your sports analytics solution include:

  • Data collection (from various connected devices, systems, and databases)
  • Player tracking (real-time movement capture and formatting)
  • Performance metrics (a set of baseline criteria for analysis)
  • Video analysis (game footage reviews and highlights)
  • Opponent analysis (opponent-focused analytics)
  • Data analysis (statistical models and algorithms for pattern analysis and extraction of insights)
  • Customizable visualizations (e.g., each user should be able to color-code tasks however they like)

Essential Features of Sports Analytics Software

The Impact of AI-Based Sports Analytics Software

Computer vision, a prominent field of artificial intelligence, has revolutionized the way athletes and coaches approach performance analysis. Advanced machine learning and pattern recognition extract data from video footage and analyze it frame-by-frame autonomously. These two cases demonstrate its value in all vividness.

IBM’s project

One of the most prominent applications of sports performance analysis software is the cognitive coaching system developed by IBM for the US Women's National Soccer Team. This system uses video footage to track players' performances and provide real-time feedback to improve their game.

But, recent advances in computer vision let us analyze athletes' movements in more depth. Computer vision algorithms are more sophisticated. They can track athletes' joint and limb movements. This provides coaches and athletes with an abundance of data on how certain individuals respond to training and how their game can be improved.

The technology lets instructors customize training programs and make well-studied modifications. For instance, if an athlete displays improper form or overexerts a particular muscle group, the system can detect it and make suggestions.

Mining for journalism

In sports journalism, data mining techniques and deep learning algorithms have become essential tools for analyzing games and players. The measurements and data obtained using these approaches give important insights into performance analysis, in-game activities, and post-game analytics, allowing sports journalists to present their readers with the fullest game report.

Data mining tools can provide reporters with useful data for analyzing an athlete's performance. This information allows readers to better grasp an athlete's strengths and limitations.

In-game activity is another area for data mining. Deep learning algorithms can offer valuable insights. This data can also show trends or patterns in the game, helping readers understand the game's strategy and tactics.

A post-game analysis is the final piece of the puzzle in sports journalism. Journalists collect data on post-game events, like interviews and press conferences, and use it to tell readers about the thoughts and emotions of players and coaches.

Sports Club Mobile App Development Estimation Cost


In sports, success often hinges on making the right decisions at the right time. Such decisions drive profits, engage fans, and boost player performance. And we can help you drive and make them.

The demand for sports data analytics software is set to soar. Our team has been developing practical solutions for years to now dedicate our experience to your needs.

So, contact us, and let’s build a solution that captures data from all required sources using advanced analytics. Our expert team can assist you in discovering hidden information to help up your athlete’s performance, drive your sports brand, or simply talk to your fans at the right time, through the right channel, with the right message.



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