dataFootball helps professional football teams to improve their game, training & scouting processes by providing data analysis and actionable recommendations that complement traditional video analysis.
Unlike traditional methods, dataFootball uses Big Data & AI techniques to generate automated reports & analysis, saving coaches more than 50 hours per month and helping them to find undercover talents that fit their style of play.
Important teams & coaches in South American football trust dataFootball for their analysis and scouting processes
dataFootball helps teams to
ANALYZE THEIR OWN TEAM AND PLAYERS WITH PRECISION AS NEVER HAVE BEFORE
ANALYZE RIVALS IN 60% OF THE TIME THEY REQUIRE NOWADAYS
FIND PLAYERS THAT FIT THE GAME MODEL FROM ALL AROUND THE WORLD IN SECONDS
Innovative service with powerful results
EVALUATING TEAMS AND PLAYERS OBJECTIVELY
Data and maths let coaches evaluate performances beyond results. This is helpful in, validating their diagnostics and assessing their ideas & decisions.
REDUCING TIME & IMPROVING COACHES' EFFICIENCY
The power of data helps coaches in making quick diagnostics and in-depth analysis of teams & players. Analysts can then focalize and concentrate on the most important things
GETTING BETTER DEALS IN THE MARKET
Big Data leads teams to better decisions and reducing the margin of error in the transfer market by recognizing talents and finding players that fit into the team's game model & playing style.
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.
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