Sportmonks Blogs

Access to comprehensive sports data without effort—that would be a dream come true, right? What if I told you that Sportmonks not only effortlessly provides data but is also free? The Scottish Premiership and Danish Superliga are included in Sportmonks’ free plan. Data from Midtjylland, Brøndby, FC Copenhagen, Rangers FC and Celtic are all there for the taking. Integrate real-time sports data into your application to enhance user experience. The best part is that you can do it quickly and for free. What else could you possibly want? Leverage the latest technologies for superior sports analytics, and do it all easily and for free.

The Ballon d’Or is football’s most prestigious individual award, and every year football fans eagerly await the announcement of the winner. As we approach the 2024 edition, there’s intense debate about who deserves to claim the trophy. Will it be Vinicius Júnior who dazzled in La Liga and helped Real Madrid to Champions League glory? Or Jude Bellingham, whose meteoric rise has made him one of the hottest young prospects in European football? Maybe Rodri, instrumental for Manchester City and Spain, deserves more attention?

Does more possession mean more wins? Football is a sport full of twists and turns, and while it might seem like controlling the ball is the key to success, the reality is far more complex. In this blog, in cooperation with Total Football Analysis, we explore whether dominating possession really leads to more victories, using data from the English Premier League 2024/25 season. From examining high-possession teams like Manchester City and Tottenham Hotspur, to diving deep into expected goals (xG) data, we’ll uncover the fundamental factors that drive success on the pitch. Read on to find out if possession truly equals performance!

In today’s fast-paced football analytics world, machine learning has become the new standard for accurate and reliable predictions. Whether you’re a developer, a betting company, or a football analytics provider, harnessing the power of machine learning can significantly enhance your prediction models and give you a competitive edge. The Sportmonks Football Predictions API lets you easily integrate advanced AI-driven insights into your platform, delivering real-time, data-backed match predictions. In this guide, we’ll explain how machine learning is transforming football predictions and how to implement it on your website. Let’s get started!

In the dynamic world of sports data, having real-time access to detailed football statistics is crucial for developers creating engaging and interactive football applications. Whether you’re building a fantasy football app, a livescore portal or analysing player performance, the Sportmonks Football API offers an extensive suite of features to bring your ideas to life. And what better way to tap into this resource than by leveraging the Ruby programming language? In this guide, we’ll guide you through the process of using the Sportmonks Football API with Ruby. Let’s kick-off.

GO is a versatile and powerful programming language that allows programmers to build dynamic cloud, web applications, and web services, among many others. In this guide, we’ll explore how to harness the capabilities of Sportmonks Football API using GO. Our football API covers as many as 2,200 leagues, including the Premier League, Serie A, Bundesliga, and La Liga. Ligue 1 is also offered.