AIstats leverages computer vision and machine learning to analyze football match footage, generating real-time statistical data. This platform provides professional teams and fans with advanced insights into player and team performance.
Funding
$550K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Professional football teams and fans often lack access to comprehensive, real-time data and insights into player and team performance, hindering their ability to make informed decisions and gain a competitive edge. Traditional methods of analysis are time-consuming, require manual video review, and fail to capture the nuances of player movement, awareness, and decision-making.
Solution
AIstats provides an advanced analytics platform that leverages computer vision and machine learning to analyze football match footage, generating real-time statistical data and actionable insights. The platform reconstructs matches in 3D, tracks player movements with frame-level precision, and evaluates both on-ball and off-ball actions. By capturing the context behind every action, AIstats enables users to uncover hidden layers of player performance related to movement, decisions, and awareness. The AI Scout feature transforms scouting queries into instant, visual, and data-driven answers, while other modules provide in-depth analysis of physical data, scanning behavior, and in-possession/out-of-possession dynamics.
Target Audience
The primary target audience includes professional football clubs, agents, analysts, and scouts seeking advanced analytics and data-driven insights to improve player evaluation, team strategy, and overall performance.
Features
- 3D match reconstruction with full player tracking and event detection
- AI Scout: A conversational engine for analysts and scouts that transforms scouting queries into instant answers
- XYZ Tracking: Real-time (x, y, z) tracking visualizes every player’s movement on the field
- Scanning analysis: Tracks head turns, body orientation, and field awareness in real time
- Physical data analysis: High-frequency tracking of acceleration mechanics, split-time kinetics, and multi-directional movement efficiency
- In-possession analysis: Evaluates execution quality of key technical actions like dribbling, first touch, and passing
- Out-of-possession analysis: Tracks and evaluates player behavior without possession, including shape discipline and pressing dynamics
- AI-powered prediction of missing player positions and parameters
- Frame-level JSON output of coordinates and body metrics