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Sports & Entertainment

Build a Sports Performance Analytics Platform with AI - in Hours

ProjectCode generates a complete, production-ready Sports Performance Analytics Platform from a single natural language prompt. In hours instead of months, you get a React frontend, NestJS REST API, PostgreSQL database, and authentication - fully integrated, live-previewed, and deployed to a URL you own.

Estimated build time: 2–4 hours
Build my Sports Analytics nowView pricing

Free to start · No credit card required

The Challenge

Why building a Sports Analytics from scratch is hard

Building a Sports Performance Analytics Platform from scratch requires months of development time and significant engineering resources. Teams struggle to coordinate frontend, backend, database, and authentication while managing sports analytics-specific business logic, integrations, and role-based access rules.

What's Included

Everything your Sports Analytics needs

ProjectCode generates a production-ready Sports Analytics with all the modules your team needs from day one.

Athlete profile with biometric and performance data
Match and training session logging
GPS and wearable data integration (heart rate, speed, distance)
Injury prevention risk modeling from load data
Video tagging and event annotation per game
Team formation and opponent tactical analysis
Recruitment scouting database with evaluation scores
Dashboard for coaches, analysts, and medical staff

Architecture

How it's built

The generated Sports Analytics follows production-grade architecture patterns.

React 18 + TypeScript frontend with role-based dashboards tailored for sports analytics workflows

NestJS REST API with dedicated sports analytics modules, DTOs, validators, and service layer

PostgreSQL relational schema with normalized tables for all sports analytics entities

JWT + Google OAuth authentication with granular permission gates per role

Real-time Socket.IO events for live sports analytics status updates and notifications

Managed hosting with one-click deploy, custom domain, and auto-SSL

Database

PostgreSQL schema designed for Sports Analytics

ProjectCode generates a normalized, indexed PostgreSQL schema with the right tables and relationships for your use case. You own the schema and can evolve it freely.

  • athletes (id, team_id, name, position, dob, height_cm, weight_kg, dominant_foot, contract_until, workspace_id)
  • sessions (id, athlete_id, type, date, duration_minutes, gps_data jsonb, hrv, rpe, load_score, notes)
  • matches (id, team_id, opponent, date, venue, result, formation, lineup jsonb, events jsonb, video_url)
  • injuries (id, athlete_id, type, body_part, severity, occurred_at, return_to_play_date, treatment_notes)
schema.sql (preview)
-- Generated by ProjectCode
-- Sports Performance Analytics Platform schema

CREATE TABLE athletes__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

CREATE TABLE sessions__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

CREATE TABLE matches__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

CREATE TABLE injuries__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

Tech Stack

Production-ready from day one

Every generated app uses a battle-tested stack you can deploy anywhere and own completely.

Frontend

React 18 + TypeScript + Tailwind CSS

Backend

NestJS 10 + Node.js + TypeScript

Database

PostgreSQL (managed or Supabase)

Auth

Email OTP · Google OAuth · GitHub OAuth

Deployment

Managed hosting · Custom domain · Auto-SSL

AI Models

Claude Sonnet · Claude Opus · Kimi

Try It Now

Example prompt to get started

Copy this prompt into ProjectCode and get a working app in minutes.

ProjectCode prompt

Build a sports performance analytics platform for a professional football (soccer) club. Include athlete biometric profiles, GPS and heart rate monitoring data ingestion from wearable devices (Catapult, Polar) via CSV/API import, session load tracking with acute/chronic workload ratio (ACWR) for injury risk flagging, match event tagging (goals, assists, passes, shots, duels) from video timestamps, tactical formation analysis comparing team vs. opponent, individual player performance trend charts over the season, an injury register with return-to-play timeline, a scouting module with prospect evaluation forms and comparison radar charts, and separate dashboard views for the head coach, performance analyst, and medical staff.

Build this now - it's free

Deployment

Deploy your Sports Analytics anywhere

Managed hosting

One-click deploy to a live URL managed by ProjectCode.

Custom domain

Connect your own domain with auto-provisioned SSL via Cloudflare.

GitHub export

Push to your GitHub repo and self-host or deploy via Vercel, Railway, or AWS.

Docker ready

Export a Dockerfile and docker-compose for any containerized environment.

Pricing

Start free, scale as you grow

No per-seat fees. No vendor lock-in. Token-based pricing that scales with your usage.

Free

$0

Start building your first app. Live preview, managed hosting, and full code export included.

Token Packs

From $5

Purchase token packs that roll over every month. Build more, pay only for what you use.

Enterprise

Custom

Custom models, SLA, SSO, and private cloud deployment for large teams.

See full pricing details

FAQ

Common questions about building a Sports Analytics

The Acute:Chronic Workload Ratio compares an athlete's workload over the past 7 days (acute) to their average workload over the past 28 days (chronic). A ratio between 0.8 and 1.3 is the 'sweet spot' - too high (>1.5) means the athlete may be overloaded and at risk of injury; too low (<0.8) means they may be underprepared.

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Build your Sports Analytics in hours, not months

Start free. No credit card. Your first app is live in minutes.

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