Case Study

Sports Performance Analytics

Sports4 min

Enhancing player performance and reducing injuries via ML-driven workload monitoring and predictive insights.

Project Overview

Without centralized analysis of training loads, match stats, and biometrics, coaches relied on subjective assessments. We built a platform that forecasts fatigue, optimizes training schedules, and provides real-time coach dashboards.

Key Challenges

Lack of Objective Insights

Injury Risks from Overtraining

Scattered Data Sources

Reactive Coaching Adjustments

No Predictive Capabilities

Our Solution

  • Fatigue Prediction Models
  • Integrated Data Warehouse
  • Dynamic Training Plans
  • Coach Dashboards

Key Technologies

Random ForestScikit-learnAWS IoT CoreSnowflakePower BIAWS Cloud

Impact

18%

Improvement in player performance metrics

25%

Reduction in injury incidents

100%

Real-time visibility into training load

Client Testimonial

“This platform has completely changed how we manage player workloads. Our team is healthier, and performance is more consistent.”

— Head Coach, Professional Sports Organization