Performance Benchmarking & Testing Engine
Centralised testing engine with statistical benchmarking, normative distributions, and longitudinal evaluation across physical performance assessments.

Project Overview
The Problem
Testing data lives in disconnected spreadsheets, making it hard to benchmark athletes against norms or track change over time with statistical rigour.
The Solution
A structured testing engine that captures every assessment, computes z-scores and percentiles against population norms, and visualises longitudinal change.
Intended Users
- Sport Scientists
- S&C Coaches
- Performance Analysts
- Rehab Staff
Core Features
Centralised Test Library
All assessments catalogued with protocols and units.
Normative Benchmarks
Z-scores and percentiles against position, age and level.
Longitudinal Tracking
Visualise individual change across test cycles.
Squad Comparisons
Group and squad-level analytics with distribution plots.
Test-Day Workflows
Streamlined data entry purpose-built for testing days.
Auto Reporting
PDF and dashboard reports generated per athlete.
System Workflow
Capture
Enter results during test day with validation.
Score
Compute z-scores and percentiles vs norms.
Compare
Benchmark against squad, position and history.
Report
Generate athlete and coach-facing outputs.
Dashboard Gallery
Athlete Test Profile
Radar chart of capacities vs norms.
Longitudinal Trends
Multi-cycle change with confidence bands.
Squad Distribution
Histogram view across the roster.
Metrics & Outputs
Jump, sprint, force-plate, isokinetic and field tests.
Sport, position and developmental-stage references.
Generated within seconds of data entry.
Key Benefits & Outcomes
Statistically rigorous benchmarking
Clear longitudinal change detection
Faster testing-day workflows
Coach-friendly visual outputs
Technology Stack
Stats
- Python
- R
- Z-score models
Storage
- SQL
- Structured schemas
Outputs
- Power BI
- PDF reporting
Future Roadmap
Force-Plate Auto-Ingest
Direct integration with force-plate exports.
Predictive Profiles
Model expected change trajectories.
Coach Recommendations
Auto-generated training prescriptions.
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