Sportmonks Blogs

The world of sports betting demands precision, speed, and trust. At Sportmonks, we’ve built an API that delivers all three. Our Sports Betting API is designed to help betting companies, tipster platforms, odds comparison sites, and sports apps create highly engaging, data-driven experiences for their users. In this blog, we’ll explore how our Sports Betting API supports the full ecosystem — from platforms to users — and why it’s trusted by thousands of professionals worldwide.

Being a football fan now means having all the game info right on your phone, and we love it! Thanks to platforms like Sportmonks, we can easily see when teams play next, who’s scoring, and even cool details about the game using apps and social media. We use this info for fun, like in fantasy leagues, and even for betting, to feel more connected to the game. This blog will show you the best football info apps and how they help us get closer to the action.

Liverpool versus Arsenal: just the name sparks images of legendary battles. This long-standing rivalry is a captivating story of different playing styles, changing fortunes, and unforgettable moments. Now, AI is giving us a new way to explore this history, revealing hidden patterns and insights. Imagine AI analysing decades of match data, from old film to today’s detailed statistics. What can this data tell us?

Predicting football matches is a popular pastime, and with the wealth of data available today, building applications that offer data-driven predictions is easier than ever. In this tutorial, we’ll guide you through creating a simple football prediction application using the Sportmonks prediction API, Node.js, and Typescript.

Have you ever had a real and pressing need for accurate live and non-live football data and didn’t know where to turn to? As developers, analysts, and coaches continue to embrace technology in their daily activities, acquiring high-quality football data is paramount to the success of any football-related project.

Have you ever wondered how goalkeeper statistics can alter the outcome of the game? Using goalkeeper-related performance data from Sportmonks’ statistics API, which is aimed at revolutionising the way coaches, analysts, clubs, goalkeepers, and entire teams approach the beautiful game of football, we will show you how these numbers can affect the outcome of a match.

Are you a sports data analyst or app developer trying to build a soccer player data profile but worried over the number of APIs you have to integrate for a smashing player profile?

The roar of the Etihad crowd, the electric tension in the air, the clash of two titans – Manchester City vs Liverpool. This isn’t just a game; it’s a defining moment in the Premier League season. For analysts, fans, and betting enthusiasts, predicting the outcome of this high-stakes encounter is a tantalizing challenge. Imagine leveraging precise data and insightful analysis to accurately forecast the winner – that’s the power of Sportmonks data.

Predicting the winner of the UEFA Europa League is no easy task, especially with the new league phase format. With Sportmonks advanced data insights however, football fans, analysts, and bettors have a powerful tool at their disposal. Unlike traditional gut-feeling predictions, Sportmonks’ real-time performance metrics, expected goals (xG), and team strength indicators help uncover patterns that many might overlook. Keep in mind, the winner of the Europa League will play in the Champions League next year. Who will be the one to lift this amazing European Trophy?

Read our Serie A Predictions! The Serie A season is in full swing, and the race for the Scudetto is as competitive as ever. Inter Milan, the reigning champions, are looking to defend their title, but they face stiff competition from the likes of Juventus, AC Milan, and Napoli (most recent ex champs), who are all eager to etch their names into history once again. With unexpected twists and tactical masterclasses unfolding each week, this season promises to be a memorable one in Italian football. If you’re tired of the guesswork, it’s time to dive into the world of data-driven analysis. With Sportmonks, you gain access to cutting-edge AI and real-time statistics that offer a profound understanding of Serie A’s dynamics. From Inter’s strategic depth to the tactical innovations of AC Milan under Stefano Pioli, Sportmonks uses advanced analytics to provide insights that go beyond the surface. Ready to see Serie A through the lens of data? Let’s explore how Sportmonks can uncover the likely champions, dissect key player performances, and reveal the tactical battles that define this league.

Blockbuster football transfer news, such as Kylian Mbappe’s protracted switch to Real Madrid, consistently attracted significant global attention, reiterating his status as one of the most sought-after players in recent history.

Have you ever thought about creating a real-time live top scorers’ chart but haven’t found the most reliable and timely Football API to do so? There’s no need to rip your shirt off! You are on the right page! Sportmonks’ Football API not only provides timely and updated statistics, such as top scorers, assists and yellow cards, but much more. In this blog, we will explore the Topscorers’ endpoint on Sportmonks’ Football API using Crystal, a high-level general-purpose, object-orientated programming language.