Data Analysis for Football Teams
dataFutbol helps professional football teams improve their game, training & scouting processes by providing data analysis and actionable recommendations that complement traditional video analysis.
Unlike traditional methods, dataFutbol uses Big Data & AI techniques to generate automated reports & analysis, saving coaches over 50 hours per month and identifying aspects of the game that are hard to detect for the human eye.
dataFutbol helps teams to
EVALUATE TEAMS & PLAYERS
ANALIZE THE TEAM
ANALIZE RIVAL TEAMS
Measure and evaluate players and teams' performances validating coaches‘ analysis and plans using advanced metrics.
Identify & capture improvement opportunities in the team using in-depth analysis.
Analyze rival teams’ game plan, strengths & weaknesses through automated reports.
Scout the players' market using advanced
metrics to specifically match the roles that the team requires.
dataFutbol has collaborated with pioneering teams and associations in Argentine soccer
River Plate's strategy is to initiate their defensive pressure around 3/4 of the pitch. This information is used to analyze rival teams' pressure and generate a build-up strategy. This analysis optimizes coaches' work as they can focus on analyzing the players' movements on video.
We can spot Reynoso as the main playmaker and name his best connections. Coaches use this information in rival analysis to take a deeper dive and identify the ways the player receives the ball to build a defensive strategy. This can be difficult to detect or could take a lot of time for a person to do it.
Check out our Twitter more examples.
San Lorenzo Blog
Football tactics blog
Football coaches school