Identifying tactically relevant insights, in addition to underlying performance trends, are key challenges faced by analysis departments. Powered by tracking and event data, Edge Analysis applies unique AI models to unlock objective, dynamic and predictive insights to enhance an analyst’s pre-match processes and their assessment of upcoming opposition.
Edge Analysis key features
Identifying an opponent’s recurring passing chains, which result in successful ball progression and chance creation, can help devise strategies for disrupting a team’s most effective ways of moving the ball into threatening areas. Edge Analysis automatically detects a team’s most dangerous passing chains, based on how they increase their likelihood of a team scoring.
Edge ANALYSIS KEY FEATURES
Match tagging is time consuming and repetitive. Edge Analysis incorporates a Spatial Search, which allows an analyst to find various events within customised pitch zones and specific playing styles for a team or individual players.