Sportmonks Blogs

Have you ever hit a brick wall trying to find the ideal football API? One with exceptional coverage, that fits your budget and demands in robustness, quality, and speed, along with a preferred data format?

Have you ever wondered how JSON data from a football API can be harnessed using Lua? In this blog, we will explore predictions on Sportmonks’ Football API using Lua, leaving you with a complete piece of code for a text-based match prediction bar chart on any preferred fixture.

Text-based match commentaries have become a must-have in modern football apps as they provide minute-by-minute action during a live match while utilising minimal resources.

Picture a football match where every key moment is enriched by real-time data, offering fans and sports teams valuable insights like never before. Fans no longer need to guess about player performance or crucial game tactics—they can rely on AI-powered tools to deliver real-time statistics and predictive analytics. From immersive experiences that boost fan engagement to smarter decisions on the pitch, AI is revolutionising how football is experienced. For fans, AI creates interactive platforms that combine real-time updates with advanced analytics, delivering personalised experiences that deepen their connection to their favourite teams. It’s a transformative tool for sports teams, enabling strategic decision-making through player performance analysis and vast amounts of actionable insights. As the sports industry embraces cutting-edge innovation, AI predictions in football are enhancing the fan experience and unlocking opportunities for smarter, data-driven decisions. AI is redefining the future of football. Are you ready for AI at football games?

The FIFA Club World Cup API, developed by Sportmonks, offers an advanced and robust solution for developers eager to integrate real-time data for one of football’s most prestigious tournaments. This powerful football API provides comprehensive coverage of every aspect of the 2025 FIFA Club World Cup, which features an expanded format with 32 club teams from around the world. This thrilling new dimension to the tournament makes the football API an essential tool for various applications, including sports betting platforms, fan engagement websites, and live score applications. By utilising the FIFA Club World Cup API, developers can seamlessly integrate essential data for live match events, such as goals, substitutions, penalties, and injuries. This football API is designed to support applications that demand instant updates, ensuring that users receive accurate, real-time information during critical match moments. Developers can track team formations, monitor individual player contributions, and provide detailed post-match reports, making the football API ideal for building live score apps, in-play betting tools, or fantasy sports platforms. Moreover, businesses can leverage the rich data offered by the football API to create immersive experiences for football fans. This level of engagement elevates user interaction and fosters loyalty, as accurate and engaging insights keep fans coming back for more. With Sportmonks’ renowned reputation for delivering reliable and precise data, developers can confidently integrate this football API to power innovative football experiences, expand their audience reach, and enhance overall user satisfaction. The FIFA Club World Cup API represents a gateway to creating dynamic, data-driven applications that resonate with football enthusiasts across the globe.

We’re excited to announce the release of Sportmonks’ Player Ratings! This innovative feature is set to revolutionise football analysis, providing fans, analysts, and coaches with deeper insights into player performance. Here’s everything you need to know about our new ratings system and why it’s a must-have tool for football enthusiasts. The renewed player ratings will go live at the sixth of January.

While the word fashionable or exciting comes to mind when you come across the term Groovy, in programming parlance it has somewhat of a different meaning. Apache Groovy is a powerful, optionally typed, and dynamic programming language with static typing and static compilation capabilities for the Java platform aimed at improving developer productivity.

Julia is a high-level, general-purpose, dynamic programming language designed to be fast. It is well applied in fields related to data science, artificial intelligence, and machine learning, among several others. Influenced by Python, R, and Ruby, Julia, whose development was led by the trio consisting of Jeff Bezanson, Stefan Karpinski, and Viral B. Shah, is suitable for web programming on both the server and client sides.

Sportmonks’ Football API offers developers a treasure trove of mind-blowing football-related data, ranging from team to individual stats for current and past seasons alike, among many more.

In modern football, data has become just as crucial as the action on the field. For teams, leagues, and fans alike, the journey into the world of ball tracking and ball coordinates opens up new ways to understand and experience the game. Through connected ball technology, combined with sensors and real-time data, every dribble, pass, and shot can be tracked and analyzed in incredible detail. This technology not only allows for precise insights into ball movements and player performance but also transforms how fans engage with the game. As football matches become more data-driven, video match officials and artificial intelligence have stepped in to provide accurate, live feedback on everything from shot speed to ball possession time. This article delves into the exciting innovations making professional leagues and fast-paced games more interactive, and what this means for the future of soccer.

We have now reached the point in the 2024/25 Premier League Season where early season variance is starting to balance out and underlying data is becoming more predictive and useful when it comes to assessing how teams are performing. This is typically the case once we come out of the second international break of the season and we start to move towards the end of the calendar year. This is where resources and websites like Sportsmonks really come into their own as we can use their advanced and underlying data in order to get a more solid prediction on what the Premier League is going to look like come the end of the season. Sportsmonks have their own models that allow them to calculate xG in for each team, and each player within those teams, to some depth. This xG model can then be used to create a model to calculate expected points (xPoints) for each team in the league and xPoints is often a metric that can provide accurate insights into overall team performances. In this article we will use the xPoints model from Sportsmonks to look at three of the key storylines that we can expect to see as the Premier League enters the business end of the season. This data can often provide interesting context to the matches that we are watching every weekend.

Developed by Microsoft almost two and a half decades ago, C# is a versatile and robust, powerful programming language that allows programmers to build dynamic web applications, web services, desktop, and mobile applications.