Football players training on field

Player Injury Risk Monitor

AI-Powered Load Management

Prevent injuries. Protect performance.

Our Player Injury Risk Monitor leverages cutting-edge AI to predict physical load accumulation and injury risk in elite football players. Developed in collaboration with professional teams, this solution allows clubs to make data-driven decisions and design individualized training and recovery programs — before injuries happen.

Benefits: Beyond Injury Prevention
Enhanced Player Safety icon

Enhanced Player Safety

Proactive risk management ensures player well-being. This leads to longer, more successful careers and improved team stability.

Optimised Performance icon

Optimised Performance

Tailored training regimens maximise each player's potential. Teams can push limits safely, gaining a competitive edge.

Financial Benefits icon

Financial Benefits

Reduced injury-related costs and increased player availability. This translates to better on-field results and potential financial gains.

Competitive Advantage icon

Competitive Advantage

Data-driven decision making elevates team strategy. Clubs using our system consistently outperform their rivals over time.

Powered by Singularity: How Does It Work?

We use past physical performance data — from training, matches, wellness reports and injury history — to build temporal windows of observation. Each player's data is analyzed across a 10-week period. Our LSTM model learns patterns that precede fatigue thresholds and injuries. It then predicts risk levels for the coming week, enabling coaches to adjust plans before performance declines or injuries occur.

Data Collection

Past 10 Weeks of Player Data

  • Training Sessions
  • Matches
  • Wellness Reports
  • Injury History

Pattern Recognition

LSTM Pattern Analysis

Identifies pattern leading to fatigue or injury using a 10-week window

Risk Output

Injury Risk Levels

High
Medium
Low

Coaches adjust workload based on real-time prediction

Real Results With a Top-Tier Football Club
In a collaboration with Real Sociedad, we tested the system using historical player data. Results show:
Real Sociedad
La Liga

1 in 3 injuries were accurately predicted and prevented

2 in 3 alerts were meaningful

The solution performed with 33% precision and 36% recall

Injury risk alerts were issued 1 to 2 weeks in advance

The True Cost of Injuries: Financial, Tactical, and Human

Financial Burden

Player injuries represent a major financial liability for sport clubs, both in terms of direct salary losses and the impact on transfer market value.

  • Injuries in top European football leagues cost clubs €732 million in the 2023—2024 season.

  • Across the last four seasons, 96 clubs reported 14,000 injuries, totaling €2.3 billion in expenditures.

Performance Disruption

Injuries can derail a team's momentum, forcing coaching staff to reshuffle lineups, alter tactical plans, and rely on less experienced players.

  • In the 2023—2024 Premier League season, 915 injuries were recorded.

  • The frequency of injuries was extremely high: 1 injury every 94 minutes of play

Subjective Assessment Limitations

Injury prevention often relies on intuition and observational assessments. Data shows that these methods fall short, especially for younger players.

  • Under-21 players in the Premier League were sidelined for an average of 44 days per injury.

  • In Serie A, young players missed an average of 35.16 days per injury.

User Interface
The solution offers an intuitive dashboard tailored to high-performance teams. Key functionalities include:
Risk Dashboard

Risk Dashboard

Provides an at-a-glance view of team and individual player risk levels. Color-coded for quick interpretation and actionable insights on compatible platforms.

Performance Tracker

Performance Tracker

Offers detailed player metrics with historical trends to help identify potential load accumulation issues before they escalate.

Interactive Features & Monitoring

Interactive Features & Monitoring

Includes overlays for key metrics such as match minutes and sprint distance, enabling users to track prediction accuracy for player injuries effectively.

Player Injury Risk Monitor Dashboard 1Player Injury Risk Monitor Dashboard 2Player Injury Risk Monitor Dashboard 3Player Injury Risk Monitor Dashboard 4
Our Solution: AI-Powered Selection

Data Integration

We collect comprehensive data from training sessions, matches, and player metrics such as distance covered, top speed and sleep quality. Historical injury records are also integrated, forming the foundation of our predictive model.

Machine Learning Analysis

Our AI algorithms process this data, identifying patterns and risk factors. It learns and improves with each data point.

Personalised Risk Assessment

The system generates individualized load accumulation predictions and injury risk profiles, enabling tailored training and recovery programs to optimize player performance.

User-Friendly Interface

Coaches and medical staff access insights through an intuitive dashboard. Real-time updates allow for adjustments to training specifics, ensuring proactive and balanced management without unnecessary interventions.

Get started with Player Injury Risk Monitor

Ready to transform injury prevention in your team? Our experts will guide you through how to integrate our solution with your current performance systems — fast, smoothly, and effectively.