Sportmonks Blogs

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?

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.

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.