Sportmonks Blogs

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.

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.

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.