Sportmonks Blogs

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.