David Jaja

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.

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.

According to its documentation page, “Kotlin is an open-source statically typed programming language that targets the JVM, Android, JavaScript, Wasm, and Native.” Kotlin was developed by JetBrains and the project started in 2010; its first official 1.0 release was in February 2016.