Timed with the kickoff of the new season across major European leagues, sports tech company Soccerment has officially launched its SICS Atlas platform. The system is designed to consolidate previously fragmented data streams in professional football into a single unified workspace. Instead of navigating separate tools for video footage, positional tracking, event statistics, and physical performance metrics, analysts can now access and evaluate all relevant match information in one place.
According to company details, the SICS Atlas database covers data from more than 310 international competitions. In total, the system indexes the profiles and performance records of over 90,000 players. This extensive coverage is intended to enable clubs and scouting departments to conduct comprehensive global comparisons without relying on disjointed providers with incompatible data formats.
A core component of the platform is the integration of a natural-language interface powered by modern AI language models. Coaches, analysts, and scouts are no longer required to construct complex database queries or manual filter chains. Instead, users can type tactical and player-related questions directly into a chat window using everyday language, which the system interprets before querying the underlying database.
From these natural-language prompts, SICS Atlas automatically compiles relevant video highlight reels, clips matching game situations, and computes tailored statistical indicators. Scouts can generate precise shortlists for specific positional profiles within seconds, such as press-resistant midfielders or high-output wingers meeting exact physical benchmarks.
The rollout comes as elite football increasingly relies on algorithmic support to gain efficiencies in transfer market operations and tactical preparation. Traditional workflows often involved hours of manual video review cross-referenced against static scouting spreadsheets. Automating these intermediate synthesis steps aims to help sporting directors and coaching staff arrive at data-driven decisions much faster.