Physical & contextual data for any soccer league globally

Sportlogiq's Computer Vision and Machine Learning technology enables us to create Physical Metrics, Tracking Data and Contextual Event Metrics from any competition, giving you one consistent data set from multiple leagues around the world

Globally scalable
Computer Vision technology

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ck08dr8jd00lirbw2myzt0y4m single cam soccer full

Deployed on any competition
around the world

logo page

logo page

Creating consistent physical, tracking
and contextual event metrics

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rashfordsimilarity fulltable 2

See how clubs use physical and contextual data to address key recruitment challenges

Scenario:

A club is looking to recruit a player that fits into the coaches philosophy of playing out from the back. As well as having the right physical attributes, the player must have the right skill set and decision making capabilities for helping the team play out of high defensive pressure in the build up phase of play

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screen shot 2020 06 29 at 11 10 52 am

Top five similar players to Andrew Robertson, based on performances
in the 19-20 English Premier League season

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untitled 15
Scenario: 
A high profile club often plays against teams defending in a low block. The coach is looking to recruit an Advanced Playmaker (#10) who can be identified as having the right skill-set and decision making capabilities for breaking down a team’s low defensive block in the final 3rd 

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screen shot 2020 06 29 at 11 33 44 am 2

Use our Powerful Sportlogiq API to Import Sportlogiq Metrics into Your Existing Workflow

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