Affordable Football Analytics Powered by AI
Professional-grade match analysis, accessible to teams at all levels
How FieldStats Works
Turning simple camera footage into powerful performance analytics
Record Your Match
Capture your match from two angles using standard mobile phones or cameras - one for each half of the field.
Upload to FieldStats
Upload your videos to our platform, where our AI processing pipeline automatically analyzes the footage.
Get Insights
View detailed analytics reports with player metrics, heatmaps, and performance data to improve your strategy.
Powerful Technology
Advanced AI and computer vision technology makes professional-grade analysis accessible
Advanced AI Pipeline
- YOLO Object DetectionReal-time player and ball detection with high accuracy
- ByteTrack TrackingMulti-object tracking to maintain player identities across frames
- Homography TransformationMerges two camera angles into a single 2D field view
- Google Cloud ProcessingGPU-accelerated video analysis for fast, affordable results
- Next.js & Tailwind FrontendModern, responsive, and intuitive user interface
Key Features
Everything you need to analyze your team's performance
Player Tracking
Automatically track all players on the field across the entire match
Performance Metrics
Distance covered, sprint frequency, average and maximum speeds, and more
Heatmap Visualizations
Visual representation of player movement and team positioning
Team Management
Create and manage teams, players, and match data in one place
Match History
Track progress over time with comprehensive match archives
Cloud Storage
Secure storage for all your match videos and analysis data
Ready to transform your team's performance?
Meet Our Team
The talented developers behind FieldStats
İsmail Kaan Özer
Developer
kaan.ozer@ug.bilkent.edu.tr
Rıfat Altaş
Developer
rifat.altas@ug.bilkent.edu.tr
Tuna Cuma
Developer
tuna.cuma@ug.bilkent.edu.tr
Umut Arda Tuncar
Developer
arda.tuncar@ug.bilkent.edu.tr
Ahmet Faik Utku
Developer
faik.utku@ug.bilkent.edu.tr
Shervin Rahimzadeh Arashloo
Supervisor
Bilkent University
Open Source Repositories
Explore our public repositories and see what powers FieldStats
GoogleCloudInstance
Python
Configuration and scripts for the Google Cloud VM that runs our video processing pipeline.
algorithms-backend
Python
Backend API and processing algorithms for video analysis, including YOLO detection and ByteTrack integration.
Website
TypeScript
Next.js frontend for the FieldStats platform, featuring responsive design and interactive visualizations.
backblaze-sdk
Python
Custom SDK for interacting with Backblaze B2 cloud storage, handling video and analysis file uploads.
LocalPanel
C#
Unity-based tool for manual tracking correction and validation, providing an interactive interface for data refinement.
Algorithms
Python
Core tracking and analysis algorithms, including homography transformation and metric calculation functions.
Start analyzing your matches today
Join teams across Turkey and beyond who are using FieldStats to gain a competitive edge through affordable, accessible analytics.