PressureLab AI transforms historical football event data into tactical intelligence using advanced possession-value analytics, pressure metrics, interactive dashboards, and AI-generated scouting reports.

Unlike traditional statistics dashboards that focus only on goals, possession, or shots, PressureLab AI helps explain why teams succeed under pressure through advanced analytics and natural-language insights.

Frontend: https://pressurelab-ai.vercel.app

Backend API: https://pressurelab-ai.onrender.com

Generate professional AI-powered analytical reports for every national team.

Each report automatically includes:

• Executive Summary
• Tactical Strengths
• Pressure Performance Analysis
• Knockout Stage Analysis
• Risk Assessment
• Expert Verdict

The AI Analyst converts complex football metrics into readable tactical insights.

Explore advanced tournament analytics through:

• Pressure Resilience Score (PRS)
• Adjusted PRS
• Possession Performance Index (PPI)
• Tournament Rankings
• Pressure Quadrants
• Historical Comparisons

Analyze every World Cup match with:

• Match-level VAEP comparison
• Team dominance metrics
• Tournament filtering
• Match intelligence views

Each team page provides:

• Pressure Resilience Score
• Pressure Curve
• Group vs Knockout Performance
• Tournament Timeline
• AI-generated Tactical Report
• Data-driven Insights

Monitor the current World Cup through a live proxy leaderboard built using football-data.org.

PressureLab AI introduces a refreshed sports-tech interface featuring:

• Premium dark theme
• Glassmorphism design
• Responsive layouts
• Animated metric cards
• Smooth transitions
• Enhanced dashboard hierarchy
• Improved readability

Using historical World Cup event data, the project evaluates team performance through VAEP (Valuing Actions by Estimating Probabilities) rather than traditional statistics.

The platform also computes Pressure Resilience Score (PRS) to measure how effectively teams maintain possession value while trailing.

Rather than replacing tactical expertise, these metrics help users explore and interpret football performance from a different analytical perspective.

Historical Event Data
          │
          ▼
 Data Processing Pipeline
          │
          ▼
   VAEP & PRS Analytics
          │
          ▼
 FastAPI REST Backend
          │
          ▼
 React + Vite Frontend
          │
          ▼
 AI Analyst Engine
          │
          ▼
 Interactive Intelligence Reports

• React
• Vite
• JavaScript
• Plotly
• Recharts
• CSS3

• FastAPI
• Python

• Pandas
• Parquet
• StatsBomb Open Data
• socceraction (VAEP)

• Vercel
• Render

cd backend

python -m venv venv

source venv/Scripts/activate

pip install -r requirements.txt

ENVIRONMENT=development uvicorn main:app --reload --port 8000

Create:

backend/.env

FOOTBALL_DATA_API_KEY=YOUR_API_KEY

cd frontend

npm install

npm run dev

cd backend/pipeline

pip install -r requirements.txt

python 01_load_statsbomb.py
python 02_compute_vaep.py
python 03_engineer_features.py
python 04_run_regression.py
python 05_build_parquets.py

backend/
    pipeline/
    data/
    docs/
    api/

frontend/
    components/
    pages/
    hooks/
    lib/

• Player-level pressure analytics
• Match summary generation
• Expanded tournament support
• Enhanced AI Analyst capabilities
• Additional tactical comparison tools

Football event data is provided by StatsBomb Open Data under its open-data terms.

Live tournament results are sourced from football-data.org.

Possession-value analytics are powered by the socceraction VAEP framework.

• Python
• FastAPI
• React
• Vite
• JavaScript
• Plotly
• Recharts
• Pandas
• HTML5
• CSS3
• StatsBomb Open Data
• socceraction
• Vercel
• Render