PlaySense is our proprietary AI model that analyzes matches frame by frame, converting raw footage into instant match analysis from video, trusted tracking outputs, andfast soccer performance insights in one seamless workflow.
Beta Launch: April 15, 2026
Physical Model
Video-based analysis
What PlaySense Detects
PlaySense captures technical, tactical, and physical signals directly from video so staff can review key performance indicators with context instead of relying on slow manual tagging.
Physical Outputs Breakdown
A complete physical snapshot from individual movement to team-wide spatial structure, generated directly from match footage.
01
Tracks speed, distance, and intensity to quickly read workload and match tempo.Captures how players move throughout the match by tracking peak speed, average speed, total distance covered, and intensity distribution, providing a clear view of workload, pace of play, and physical output over time.
02
Shows width, length, and activity zones to quickly read team spacing.Visualizes how a team occupies space on the pitch through metrics like team width, team length, and heat maps, helping coaches understand spacing, compactness, and where physical activity is concentrated throughout the match.
How It Works
01 Input
Any standard match file enters the pipeline immediately, with no special capture setup or hardware layer required.
02 Processing
Computer vision detects and tracks every player continuously to map movement, event, and workload patterns.
03 Outputs
Staff-ready metrics for speed, distance, intensity, and structure are delivered for immediate review and planning.
Benefit: Operational
Physical analysis starts from video only, with no wearables, GPS units, or matchday setup burden.
Benefit: Validation
Frame-level tracking keeps outputs tied to real match actions so coaches can trust and validate every metric.
Benefit: Decisioning
Speed, distance, and workload insights arrive in a ready-to-use format that supports immediate planning.
Platform Integration
FAQ
Key questions teams ask about player tracking without wearables and video-based analysis.
PlaySense uses computer vision to detect and track players directly from match video, then converts that tracking into physical performance outputs.
Teams can measure player tracking, event detection, speed, distance, workload, intensity, and team structure directly from match video.
PlaySense fits directly into the review process by turning match video into physical and tracking data that staff can use alongside tactical and technical analysis inside the wider Sports AI workflow.
© 2026 Sports AI. All rights reserved.