# Tactico AI — Football Performance Analytics

Canonical URL: https://alectorlab.com/work/tactico-ai-football-analytics
Raw Markdown: https://alectorlab.com/work/tactico-ai-football-analytics/raw
Industry: Sports AI / Football
Capabilities: Computer Vision, AI Product Engineering
Owner: Alector Lab – Enabling Technologies Ltd (direct)
Provenance: Alector Lab project record; claims describe the published product scope.

## Summary
A football analysis workflow that tracks players and the ball, then surfaces passes, shots, formations, and key moments from match video.

## Operational Problem
Coaches and analysts need usable evidence from a full match, but manually reviewing and tagging 90 minutes of footage slows down feedback and makes consistent analysis difficult.

## Operating Context
The published project brief describes a video-to-insight workflow for football performance teams, built to make match footage searchable rather than leave it as an unstructured recording.

## Engineering Approach
A YOLOv8 detection pipeline and OpenCV processing layer follow players and the ball frame by frame. PyTorch models classify match events, while a FastAPI service makes the resulting clips and metadata available to the product experience.

## System Architecture
1. Detection: YOLOv8 for players and ball
2. Video processing: OpenCV tracking and clip extraction
3. Event intelligence: PyTorch classification
4. Delivery: FastAPI endpoints for searchable match data

## Implementation Details
The system processes match footage, maintains identities through play, detects important events, and indexes the relevant moments so analysts can move from a match to tactical review without tagging every sequence by hand.

## Governance-Reviewed Outcomes
- **Minutes (To searchable highlights):** Published project description; timing varies by footage and infrastructure
- **Player + ball (Tracking foundation):** Supports passes, shots, formations, and event search

## Technology Stack
- YOLOv8
- OpenCV
- PyTorch
- FastAPI

## Engineering Lessons Learned
- Sports tracking becomes useful when detections are connected to events and coaching questions, not presented as boxes alone.
- Broadcast footage changes constantly, so identity continuity, occlusion handling, and clear confidence signals matter as much as raw detection accuracy.