PortfolioTesting & Benchmarking
SYS-002Testing & Benchmarking

Performance Benchmarking & Testing Engine

Centralised testing engine with statistical benchmarking, normative distributions, and longitudinal evaluation across physical performance assessments.

Performance Benchmarking & Testing Engine
01

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
02

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.

03

System Workflow

01

Capture

Enter results during test day with validation.

02

Score

Compute z-scores and percentiles vs norms.

03

Compare

Benchmark against squad, position and history.

04

Report

Generate athlete and coach-facing outputs.

04

Dashboard Gallery

Preview

Athlete Test Profile

Radar chart of capacities vs norms.

Preview

Longitudinal Trends

Multi-cycle change with confidence bands.

Preview

Squad Distribution

Histogram view across the roster.

05

Metrics & Outputs

Tests Supported

Jump, sprint, force-plate, isokinetic and field tests.

Normative Bands

Sport, position and developmental-stage references.

Auto Reports

Generated within seconds of data entry.

06

Key Benefits & Outcomes

Statistically rigorous benchmarking

Clear longitudinal change detection

Faster testing-day workflows

Coach-friendly visual outputs

07

Technology Stack

Stats

  • Python
  • R
  • Z-score models

Storage

  • SQL
  • Structured schemas

Outputs

  • Power BI
  • PDF reporting
08

Future Roadmap

Next

Force-Plate Auto-Ingest

Direct integration with force-plate exports.

Later

Predictive Profiles

Model expected change trajectories.

Future

Coach Recommendations

Auto-generated training prescriptions.

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