Deliverables
- Full-stack web application
- Native iOS application (App Store)
- Native Android application (Google Play Store)
- Role-based dashboards (Super Admin, Coach, Scout)
- Advanced serve & return analytics engine
- 3D court visualisation module
- Player comparison system
- Real-time match tracking
- Highlights tagging & scouting reports
- League and user management system
- Data upload & validation tools
Team Composition
A dedicated cross-functional team at Ropstam included:
- Project Manager
- UI/UX Designers
- Frontend Engineers
- Backend Engineers
- Mobile Developers
- QA Engineers
The Challenge
Traditional tennis analytics tools are often limited to elite organisations due to high costs and complex systems.
DD Sports Analytics needed a scalable and accessible platform that could:
Aggregate ATP & WTA player data into a unified system
Deliver detailed serve and return insights by context
Combine tactical and physical performance metrics
Enable side-by-side player comparisons
Provide a 3D visualisation of match play
Support real-time match tracking
Generate instant scouting reports
Manage multi-user, multi-organisation access
Work seamlessly across web and mobile
The key challenge was balancing depth of analytics with ease of use, ensuring the platform remained powerful without overwhelming users.
The Solution
Ropstam developed PlayerDEX as a modular, full-stack platform with a tab-based interface designed for intuitive navigation.
Core Approach
- Role-based access (Admin, Coach, Scout)
- Dark-mode-first UI for courtside usability
- Interactive visual analytics (heatmaps, scatter plots, 3D views)
- Real-time and historical data switching
- Scalable data ingestion and processing
Each player profile is structured into focused analytical modules, allowing users to explore performance data efficiently.
the Design
App
Development
Launching
Ropstam adopts a development approach characterized by collaboration, openness, and careful consideration.
Key Features
Player Scout Module
Serve Analytics
- First & second serve performance
- Unreturned serve rates
- Serve speed insights
- Visual shot distribution
Filters include
- Heatmaps/scatter plots
- Deuce vs advantage
- Recent match performance
Return Analytics
- Placement and depth analysis
- Winner/error tracking
- Return success rates
- Serve-type breakdowns
Serve +1 Analysis
Evaluates post-serve shot decisions and tactical patterns.
Groundstroke Analysis
- Forehand/backhand tendencies
- Directional play (cross vs line)
- Depth and accuracy metrics
Game Scenario Insights
Performance tracking during:
- Break points
- Tie-breaks
- Pressure situations
Rise–Peak–Fall Model
Visualises performance momentum across match phases.
Physical Performance Tracking
- Distance covered
- Sprint frequency
- High-intensity movements
- Recovery metrics
Time vs Distance Analysis
Evaluates movement efficiency and workload.
Player Comparison Engine
Side-by-side comparison across all analytics modules.
3D Court Visualiser
Interactive rendering of:
- Shot trajectories
- Landing zones
- Player movement
Live Match Tracking
Real-time statistics for live match analysis.
Highlights Module
Tag and organise key moments for coaching review.
Benchmarks
Set and track performance standards.
Automated Reports
Generate structured scouting reports with one click.
Data Management
Admin tools for uploading and validating match data.
User & League Management
Support for multi-organisation setups and custom leagues.
Technology Stack
Core Technologies
- Full-stack web architecture
- Native iOS & Android development
- Real-time data processing engine
- 3D visualisation technology
- Role-based authentication system
Infrastructure & Integrations
- ATP & WTA data feeds
- Live match data integration
- Advanced analytics engine
- Automated reporting system
- Cloud-based scalable deployment
App Development
Testing and Deployment
Project Timeline
Results
Android Application
iOS Application
A Complete Tennis Analytics Ecosystem
PlayerDEX transformed complex tennis data into clear, actionable insights, significantly reducing analysis time while improving decision-making for coaching teams.
Key Outcomes
- Web, iOS, and Android platforms launched
- Advanced serve, return, tactical, and physical analytics deployed
- Real-time match tracking enabled
- 3D court visualisation implemented
- Multi-organisation access supported
- Scouting report generation is automated


