Driblab is launching its own data tagging on demand service in order to satisfy all the needs derived from football through data. In addition to all available products, our league coverage and our catalogue of models to detect and analyse talent, we offer clubs, federations, academies, representation agencies or any professional football actor our data tagging on demand service.
This service offers the possibility of storing all the match events recorded by a club, academy, federation or agency and converting them into a multitude of advanced metrics, visualisations and functionalities. You will have advanced data with which to monitor talent and performance, being able to make better decisions and design improvement strategies with objective data. Once collected these data can be provided via API, CSV or via our own driblabPRO.
BENEFITS OF DATA TAGGING ON DEMAND
Depending on the client, the service offers different potential advantages in the individual and collective analysis of the game, opening up a wide range of options based on advanced, objective and innovative data.
CLUBS: YOUTH ACADEMIES AND WOMEN FOOTBALL
Data coverage of local competitions at youth level or women football is, in the vast majority of countries, non-existent. Federations or leagues do not have customised services related to the recording and monitoring with data of the competitions in which a club’s youth teams play. With this option, analysis departments have the possibility to:
Individual improvement through data and monitor the evolution of the player from an early age.
Compare the evolution of previous youth players in order to evaluate the level and progression of new talents.
Reinforce decision making when deciding on the continuity of young players within the club.
Complement tactical patterns and physical data with advanced performance metrics.
To have data on opponents at early ages to detect potential talent to be acquired.
Cross-generational data footprint: compare similar new talents with players who reached it to the first team.
This last option allows us to compare players of different generations but similar characteristics, contrasting their evolutions through data. If a great talent born in our academy emerges with similar physical and technical characteristics as, for example, Fede Valverde, Frenkie de Jong or Xavi Simons, we will have the opportunity to support his evolution and improvement from data storage and previous metrics, generating flexible patterns and profiles adapted to our methodology.
LEAGUES AND FEDERATIONS
In different parts of the world, the first divisions do not have, at best, complete coverage by suppliers. In many cases, this lack of coverage prevents the analysis, monitoring and revaluation of players. With an on-demand service, leagues and federations can identify, rank and monitor the individual talent and collective performance of:
Top divisions of men’s football
Lower divisions and teams at any level
Any division of women’s football
The ability to demonstrate with data the performance and progression of a talented player offers more possibilities to improve the league as a product or federations to export talent identified and ranked in comparison to other players in the same position.
Using the case of El Salvador as an example, the country’s First Division clubs (or any other men’s or women’s division) would have access to advanced data on their players and teams with the objective of:
Improve the league and its product, offering an innovative service to clubs.
Detect with data the best players and be able to export them to countries with greater resources where local talent grows in more competitive environments.
The needs of player representation agencies have varied and grown enormously in recent years. The ability to store data from matches played and organized by training academies funded by representation agencies allows them to drive, spot and compare talent that will never be reached by official providers. In this way, agencies can analyze the potential and evolution of their own players or players with the potential to be represented.
In an innovative way, a great advantage that speeds up the process is that the customer can upload his videos autonomously and, after storing all the events, consult the match by selecting shortcuts: see all the shots, goals, fouls or other events independently.
Once the client has uploaded his video, the match is processed and makes available all kinds of events and metrics to be consulted in different ways.
Once we process all the events, the client has all the information about the match at his disposal quickly. The more matches, the more information and the more possibility to analyze through graphs, maps and functionalities. From the events generated, we create models of Expected Goals and Expected Assists, radars, ‘beeswarm’, event maps per match or match history to consult.
Founded in 2017 as a consultancy, Driblab has driven innovation through data in all aspects of professional football. Thanks to a transversal model, its database collects and models statistics in all directions. From converting matches and videos into bespoke data for training academies to developing cutting-edge technology, helping clubs, federations and representative agencies in talent scouting and transfer markets. Driblab’s smart data is used by clubs all over the world, with success stories such as Dinamo Zagreb, Real Betis and Girondins Bordeaux among others. Here you can find out more about how we work and what we offer.