Football recruitment intelligence.

Find tomorrow’s star players before the competition

The footballdatasync database was originally developed for football video games and has been in development for 15 years. It has now been optimised to identify undervalued players through predictive modeling, and as of 2026 is being offered to football clubs for the first time.

Exclusive stats-based player assessments (human, non-automated) and modeling based on years of player development data are fine-tuned to predict the development of emerging players in order to find the top talent of the future.

The results are impressive. When running a backtest on data from March 2022, a request for players that could cost under €7m and are likely to deliver a €24m or more increase in sale value, footballdatasync returns (without any forward knowledge) a 22-player priority shortlist that includes Lewis Hall, Xavi Simons, Mathys Tel, Malo Gusto, Riccardo Calafiori and more, months or years before their eventual emergence and big moves. Only six of the players did not become demonstrably profitable. These players have, as of July 2026, returned transfer profits totalling €390m.

Backtests also show that footballdatasync has a track record of catching key talent early: Moises Caicedo was identified prominently in 2020, months before his Brighton move, and Ilya Zabarnyi would have been recommended to any top-level club as early as February 2021. There are many other demonstrable early catches including Cherki, Kvaratskhelia, Ekitike, Sesko, Savinho and van de Ven.

The same methodology can be applied to discovery of players in lower or less prominent leagues. The database covers players in the most overlooked European leagues, all ten South American leagues, Asian and African leagues, as well as many lower-level leagues and all national teams.