AI Powered Football Analysis
Sportlogiq computer vision and machine learning technology to track All-22 video feeds, enabling any football team to perform the same type of analysis that professional teams do with chip based stats
Fast and Reliable Turnaround Times
Computer vision techniques such as automated event detection mean that our data can be turned around more quickly and efficiently
Cost Efficient
Sportlogiq’s optical tracking means that no chips or sensors are needed to create tracking data, saving teams money on hardware
Convenient
All processing is done via Amazon Web Services and access to our raw data is streamlined into your existing workflows
Advanced Football Analytics & Insights
Sportlogiq’s raw data can generate physical and contextual metrics for football teams to support their recruiting, scouting, and coaching.
Patented Camera Calibration Technology
Sportlogiq’s patented automated camera calibration allows us to extract data from any broadcast or tactical feed and bring professional level insights to your team.
Physical Metrics
Sportlogiq partners use our raw data to present physical metrics such as:
- Player speeds
- Receiver separation created
- Acceleration & deceleration
Contextual Metrics
Sportlogiq’s raw data allows our partners to create contextual metrics that can support with opposition scouting, game preparation, and player evaluation, including:
- Formation/positions by play
- Route recognition
- Defensive coverage breakdown
