From Research to Impact
We conduct applied and fundamental research in spatiotemporal modeling, player tracking, and event understanding, continuously validating our approaches through international benchmarks and competitive challenges.
Computer Vision, Statistical Learning and Generative Models for Football Analytics
- Player Tracking
- Event Detection
- Tactical Insights
About Us
AI4Football is a technology team building AI tools for real-world football workflows. We turn raw data into clear, actionable insights that help clubs, analysts, and scouts improve performance, understand tactics, and make faster decisions.
Product Ecosystem
We build AI-powered tools covering the full football workflow — from automated video analysis and XY-coordinate extraction to scouting systems, telestration, and performance analytics.
Education & Talent Development
We contribute to the development of interdisciplinary talent by creating educational programs at the intersection of AI and sports analytics, bridging research, engineering, and domain expertise.
Product Ecosystem
We develop a suite of AI tools for core football workflows — from video processing and data extraction to scouting, tactical planning, and broadcast analytics. Our products streamline analysis, reduce manual work, and help clubs, analysts, and media teams make faster, better-informed decisions.
- 01MatchCode
- 02Tracking
- 03Scouting
- 04TacticDesk
- 05Health
AI4FMatchCode
Platform for video annotation, event tagging, and structured analysis of match footage
AI4FTracking
Automatic extraction of player, referee, and ball tracking data from match video
AI4FScouting
Platform for managing scouting workflows and structuring player evaluation
AI4FTacticDesk
Tool for creating tactical boards for training sessions and match preparation
AI4FHealth
Platform for tracking and analysing player medical data.
Product Ecosystem
AI4FMatchCode
AI platform for football video analysis that automates event tagging, annotation, and structured match breakdown. It combines manual workflows with automated detection to significantly reduce video coding time.
Key Features:
- AI-assisted event detection and pre-tagging
- Flexible and customizable manual video annotation and tagging
- Timeline-based navigation and event structuring
- Integration with analytical workflows and datasets
What Sets Us Apart:
- AI-assisted coding — automatically pre-tags key events, reducing manual effort
- Hybrid workflow — combines automation with full analyst control
- Structured data output — converts video into analysis-ready datasets
Who It’s For?
01Performance Analysts
02Coaching Staff
03Data
Analysts
04Media and Analysis Teams
- Who It’s For?
- 01Performance Analysts
- 02Coaching Staff
- 03Data Analysts
- 04Media and Analysis Teams
Product Ecosystem
AI4FTracking
XYTrack is a computer vision system that extracts player and ball positions directly from match video. It converts unstructured footage into structured spatiotemporal data for advanced football analytics.
Key Features:
- Automatic extraction of player, referee, ball XY coordinates
- Supports both broadcast and tactical camera footage
- Full-match processing and batch pipelines
- Generation of structured spatiotemporal datasets
- Integration with downstream analytics workflows
What Sets Us Apart:
- No tracking hardware required — works directly with video
- Scalable data generation — processes full matches automatically
- Analysis-ready output — enables immediate use in models and metrics
Who It’s For?
01Sports Analytics Teams
02Performance Analysts
03Data
Analysts
04Media and Analysis Teams
- Who It’s For?
- 01Sports Analytics Teams
- 02Performance Analysts
- 03Data Analysts
- 04Media and Analysis Teams
Product Ecosystem
AI4FScouting
AI-powered platform for football scouting and recruitment that turns unstructured notes and reports into a searchable, structured knowledge base.
Key Features:
- Centralized player database with structured scouting reports
- AI-powered extraction of attributes from unstructured scout notes
- Natural-language AI assistant for instant search across players and reports
- Standardized evaluation forms for consistent assessment.
- Tagging, filtering, and shortlist management for streamlined recruitment workflows
What Sets Us Apart:
- Turns unstructured scouting notes into a unified decision layer for recruitment
- AI structures free-form scout reports into comparable, decision-ready data
- An AI assistant allows quick player discovery throughout the entire database.
Who It’s For?
01Academy Staff
02Recruitment Departments
03Football Scouts
04Sporting Directors
- Who It’s For?
- 01Academy Staff
- 02Recruitment Departments
- 03Football Scouts
- 04Sporting Directors
Product Ecosystem
AI4FHealth
Platform for tracking player medical data, built for club medical staff. It collects Smart Ring metrics and other medical data, aggregates them in a single dashboard and supports decisions on each player’s workload and recovery.
Key features
- Personal workspace for medical staff
- Team-wide table of aggregated medical data
- Player profile with full Smart Ring data
- Trend tracking for CK, CMJ, HRV, sleep and readiness
- Alerts on metric deviations and changes in player condition
- AI recovery suggestions based on medical data
What sets AI4F Health apart
- Team condition — the system shows the readiness status of every player, from overall team state down to sleep quality.
- Attention priority — automatically flags players who need monitoring, reduced workload or an additional check.
Who is it for?
01Club medical staff
02Team doctors, physiotherapists
and rehabilitation specialists
03Academies and youth teams
- Who is it for?
- 01Club medical staff
- 02Team doctors, physiotherapists and rehabilitation specialists
- 03Academies and youth teams
Product Ecosystem
AI4FTacticDesk
Advanced platform for creating tactical boards, designing training sessions, and visualizing football exercises. It combines intuitive tools, rich visualization, and AI assistance to streamline coaching workflows from planning to execution.
Key Features:
- Tactical board creation with 30+ pitch views (2D & 3D)
- Drill animation with player movement and sequence design
- Training session builder with structured planning and timing control
- Library of reusable exercises and tactical templates
- AI assistant for generating and refining training drills
What Sets Us Apart:
- AI-assisted training design — generate drills and full sessions from text descriptions
- Dynamic visualization — animate exercises in 2D and 3D for clearer understanding
- End-to-end workflow — from individual drills to complete training plans in a single platform
Who It’s For?
01Coaches and Assistant Coaches
02Football Academies
03Training Staff
04Performance and Tactical Analysts
- Who It’s For?
- 01Coaches and Assistant Coaches
- 02Football Academies
- 03Training Staff
- 04Performance and Tactical Analysts
Custom AI development
An AI4Football practice for clubs, leagues and sports organisations that need solutions tailored to their own problems. Our team designs and deploys AI tools around the customer’s data, infrastructure and workflows.
Areas of work
- Finding where AI applies and validating ideas on club data
- Building AI tools for specific tasks and processes
- Integration with existing club systems and data
- Predictive models on the club’s own data
- Analysis of accumulated data and pattern discovery
What sets AI4Football custom development apart
- One team at every stage — the same team runs the research, builds the prototype, develops the solution and integrates it into the customer’s infrastructure.
- Expertise across AI and football — research background in computer vision and machine learning combined with an understanding of how a football club actually works.
- Work with existing infrastructure — development accounts for available data, systems already in use, security requirements and the organisation’s processes.
Who is it for?
01Leagues
and federations
02Sports organisations
without an in-house AI team
03Football clubs
and academies
- Who is it for?
- 01Leagues and federations
- 02Sports organisations without an in-house AI team
- 03Football clubs and academies
AI4Football milestones
- 2023
Project launch
A partnership between AIRI, Sber and PFC CSKA to build solutions for football analytics, decision support and strategic club management.
- 2024
First results
The team developed and tested artificial-intelligence models on footage from more than 20 Russian Premier League matches.
- 2025
Moving to applied solutions
The first AI services for video analysis and scouting appeared, designed for everyday use inside football clubs.
- 2026
Productisation
The team presented MVPs of its own products (AI4F MatchCode, AI4F Tracking, AI4F Tactic Desk, AI4F Scouting, AI4F Health), ran its first football analytics conference and started discussing pilot projects with Brazilian clubs.
2023
2024
2025
2026
Research & Education
Applied research in ML, computer vision, and sports analytics Focus: spatiotemporal modeling, tracking, event understanding
- 2025
SoccerNet Game State Reconstruction
5th place
- 2026
SoccerNet Player-Centric Ball Action Spotting
2nd place
- 2026
LTPI: Long-term Player Identification from Single-Camera Football Video
Accepted to CVPR Workshop 2026
- 2026
SoccerNet Game State Reconstruction
64.38 score, consistent with state-of-the-art performance among published methods
Building the Next Generation of Talent
- Focus on interdisciplinary talent in AI and football analytics
- Bridging research, engineering, and domain expertise
- Combining strong fundamentals (math, CS) with applied ML and football use cases
- Expanding collaborations with football education organizations
Partnerships(Education & Research)
Advancing Football Data Science through Academic Collaboration
We are open to partnerships with universities and educational organizations worldwide. We co-develop programs in sports AI that combine academic rigor with real industry data and workflows from professional football environments. One of our key initiatives was a joint course with MIPT (Moscow Institute of Physics and Technology) on Data Science in Sports, designed to connect academic knowledge with real-world football applications. The course combined core ML concepts with practical football use cases, based on modern tracking data, computer vision, and AI models used in professional clubs.
Data Science in Sports
30Academic Hours
A structured introduction to modern sports analytics and AI applications in football.
Key topics included:
- Applied session with experts from PFC CSKA Moscow
- Computer vision pipelines for player detection and tracking
- Homography and broadcast-level pitch visualization
- Processing and cleaning tracking data (filtering, interpolation, smoothing)
- Action detection using vision-language models (zero/few-shot learning)
- Core football metrics: xG, xA, xT, VAEP, EPV, OBV
- Trajectory forecasting with modern generative models
- NLP applications in scouting and decision support
- Representation learning for football events and players
We Are Officially the #2 Football AI Team in the World
SoccerNet Player-Centric Ball Action Spotting2026
Overview
The challenge focused on player-centric ball action spotting in football matches. Participating teams had to build models capable of detecting ball-related actions directly from broadcast video, identifying the exact event timestamp, classifying the action type (pass, shot, cross, etc.), and determining which player performed the action.
Achievement
AI4Football finished 2nd out of 19 teams in the official SoccerNet competition rankings. The final results were announced at the CVPR conference in Denver on June 4, 2026.
Our Solutions Are Entering the Latin American Market
Leading Brazilian clubs — including Palmeiras, Grêmio, Botafogo, Corinthians, and Internacional — along with the Brazil national football team have expressed readiness for pilot projects and collaboration with AI4Football. During our visit to Brazil, we confirmed that several AI4Football technologies perform at the level of leading international benchmarks. We also validated strong interest in our products and workflows from clubs and football organizations in the Latin American market.
Botafogo
Rio de Janeiro
23.04.2026
Brazil national team
Rio de Janeiro
27.04.2026
Palmeiras
São Paulo
29.04.2026
Grêmio FBPA
Porto Alegre
30.04.2026
Tailored Solutions for Unique Football Environments
PFC CSKA Moscow
6-time Russian champions, UEFA Cup winners
FC Spartak Moscow
10-time Russian champions
FC Dynamo Moscow
11-time Soviet champions
Brazil national football team
5-time FIFA World Cup winners, 9-time Copa América winners
Botafogo
3-time Brazilian champions, Copa Libertadores winners
Palmeiras
12-time Brazilian champions, 3-time Copa Libertadores winners
Corinthians
7-time Brazilian champions, Copa Libertadores winners
Grêmio
2-time Brazilian champions, 3-time Copa Libertadores winners
Internacional
3-time Brazilian champions, 2-time Copa Libertadores winners
2026 – 2027 Vision
Scaling Football AI beyond products
Over the next two years, our focus is on expanding both our research and commercial footprint in global football ecosystems. We are building not just tools — but a connected AI infrastructure for clubs, leagues, and educational institutions.
Global Expansion
We aim to strengthen our presence in international markets:
- Partnerships with football clubs across Europe, Asia, and Latin America
- Collaboration with sports analytics and media
- Development of technology-driven football ecosystems
Academic Growth
We plan to expand our educational partnerships with leading technical universities and research institutions. This includes:
- New joint programs in Data Science & Sports AI
- International academic collaborations
- Development of applied research initiatives with industry partners
Product & Research Expansion
We are continuing to invest in core areas of innovation:
- Innovative performance metrics for players and teams
- Context-aware evaluation models for match situations
- Data-driven scouting methodologies for youth talent identification
- Combining computer vision and machine learning for enhanced game insights.
All InorOut of Football
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