We design and build custom football video analysis software that replaces manual tagging and fragmented workflows with AI-powered soccer analytics. Get faster tactical insights, lower analysis costs, and a system built around how your team actually works.
Wearables, GPS vests, and sensor-based systems are expensive, incomplete, and operationally fragile. Modern AI football video analysis extracts richer tactical and performance insights directly from video using computer vision.
Wearables require athlete compliance, calibration, and maintenance, and often cannot be used in official matches or competitive environments.
Sensors track movement, not football. They cannot understand formations, pressing structures, off-ball movement, or team shape.
Hardware-based systems increase cost and reduce adoption across academies, semi-pro clubs, and multi-team organizations.
Force plates, treadmills, and specialized hardware drive cost, maintenance, and operational friction.
Step length and stride length Step width and foot placement Joint positions and trajectories
Cadence (steps per minute) Ground contact time Stance vs swing phase duration Full gait cycle timing
Hip, knee, and ankle joint angles Range of motion (ROM) per joint Angular velocity and motion smoothness
Pronation and supination angles Left vs right symmetry index Compensation patterns and asymmetries Gait deviations and stability indicators
Match analysis and training analysis
Player development and benchmarking
Opposition scouting and tactical preparation
Squad workload and positional discipline insights
Built for Your Game, Not Ours
We start by understanding your coaching model, KPIs, reporting structure, and analysis workflows.
We design computer vision pipelines for player tracking, event detection, tactical structure understanding, and contextual analysis.
We integrate with your cameras, broadcast feeds, drones, existing tools, and data platforms.
Your system improves over time as your tactical models, data needs, and performance objectives evolve.
A leading sports technology company sought to revolutionize how football (soccer) teams analyze match footage. They partnered with Folio3 to develop a high-performance video analysis software that leverages Computer Vision (CV) and Deep Learning. The goal was to move beyond basic video playback and provide elite-level insights into player biomechanics, tactical positioning, and real-time performance metrics. Key Results: 80% Reduction in Manual Labor: Automated event tagging and metric calculation saved analysts over 10 hours per match week. Millimeter-Precision Biometrics: Provided coaches with objective data on player posture, previously only available in expensive lab environments. Enhanced Scouting: The client’s software is now used to "stress-test" potential recruits by analyzing their tactical awareness and movement efficiency against pro-level benchmarks.
Talk to our engineers about designing a custom football or soccer analytics system around your workflows, data, and performance goals.
Fill the form below or Contact us at +1 408 365-4638 / email us via contact@folio3.ai
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
