Algorithm Soccer vs Beat Oraclez

It has arrived in 2021 football’s world, in an environment where high performances and statistics are increasingly necessary, if you want to stand out and become a player in some important teams. The ASM (Alessio Sundas Method) was an idea conceived by a Miami player agent with the aim of creating an environment where professionals can certify their skills in the field. The ASM has a main interface where the KPIs statistics are represented and then there is the second interface which is dedicated to data loading and analysis. It is created after the upload of the game’s video, which is sent to a datametric analysis that evaluates a player with metrics and customized unit of measurement. The algorithm generates final statistics and it has to evaluate a specific player comparing his data with those entered by the player. This new and innovative system of players’ evaluation allows a broader vision of the athlete’s skills and a wider amount of data which are available in order to position players on the market. This app is connected with technical and sports institutes that act as guarantors both for players’ data protection and both for the authenticity of their skills. This application provides a faster access to evolution methods for players, allowing them to have a quick, complete and certified analysis. The ASM (Algorithm Soccer Oracle) provides players’ value thanks to a brilliant calculation which is based on some data extracted from the performances of the best football players. This algorithm measures players’ value compared to those of other players with the same role.

We built an algorithm to predict NFL games... but honestly? It's a little dumb. So naturally, we named it after our cat, Oz. Welcome to the OracleZ Challenge! Your mission: outscore our furry genius "OracleZ" and brag about it to your friends. Think you can outsmart a cat-powered algorithm? Join a full season of FREE, friendly competition. Make your picks, rack up points, and find out who really knows football.