Gool calculates player market values for professional soccer clubs, players and agents.
Using artificial intelligence algorithms from the financial industry, combined with individual player performance-, health- and physical data, gool‘s market values are transparent, fair and updated after every matchday.
We honor the athletic performance of global professional soccer players and determine fair and globally comparable market values based on their performance data.
We want to revolutionize modern international soccer with transparent, fair and comparable market values, providing players, advisors and clubs with a repeatable valuation benchmark using Big Data and AI.
Award Winning state of the art AI Algorithms, derived from the financial Industry.
More than 90.000 Players from worldwide leagues with more than 300 datapoints for each player.
Continuous market value calculation after every matchday.
Thanks to responsive design and browser access, it can be used on any end device.
Gool supports Market Values, analyses and forecasts for players from more than 70 leagues worldwide. Among them are:
All calculations are dynamic and updated weekly with the latest values of every matchday. Gool uses a rolling data history and takes the data of the full last season plus the current season into account.
In order to calculate fair, transparent and comparable market values, our AI is trained to identify only the relevant data for a player and his playing position. Furthermore, the Gool AI enables a cross-national/league comparison of Market Values.
We use only high quality performance data of the soccer players which are newly recorded with every match day. Furthermore, we integrate freely available data into our calculation.
For the calculation of the market values, we incorporate a state of the art machine learning model belonging to the family of the gradient boosting decision tree models. The drivers of the market values are infered by utilizing advanced techniques from the field of interpretable AI.
Through sophisticated feature selection algorithms, we have identified the most significant features for each specific player and position.
To perform most accurate future forecasts, our predictive features, such as market value forecast and risk estimation, make use of sequential and memoryful models, which have the capability to memorize and learn the performance evolution of the players.
Gool is a product of GET Capital AG.
GET Capital is a quantitative Asset Management Boutique managing capital markets risks and risk budgets using Big Data and Artificial Intelligence. Founded in 2006, GET Capital builds strong expertise in Ai based investment Algorithms and gets awarded several times for their Robo-Advisor Algorithms used at their customer Smavesto.
During a multi-year project with Sevilla FC, Spain, GET Capital could successfully support Sevilla FC with it's rich experience in Ai forecasting and evaluation models. A comprehensive, highly individualized scouting platform and the establishment of a new data analytics department in the club were the results.
"Sevilla FC and GET Capital have combined the soccer knowledge with the scientific use of data to shape the future of 21st century soccer professional scouting. The competitive advantages are obvious: better transfer decisions, cost savings and efficiency gains, which results in an optimized business value."
This project was the kickoff for GET Capitals entry into the data driven soccer market as trustful advisor, whenever it comes to the combination of big data and Ai.
With Gool, GET Capital now launches it's first product, granting access for everybody to it's award winning algorithms evaluating transparent and fair market values.
A black hole in history, where shedding light is long overdue.
