Curated Metrics & Views
Dashboards tailored to each role with only the most actionable stats and charts.
Sports Stats & Analysis Platform MVP
How a sports analytics founder validated an AI-first stats platform with a focused, team-facing MVP.
Analytics Platform
Sports analytics startups, Teams and leagues, Sports media
$25k–$40k
Sports Analytics
Industry
AI MVP
App Type
3–4 weeks
Timeline
Web
Platforms
Project Overview
1
What We Built
- A web dashboard MVP that ingests stats feeds, builds player and team profiles, and offers AI-generated breakdowns of performance and tactics.
- Teams and analysts were wrangling CSVs and basic charts; they needed faster, deeper insights that didn’t require a full data team.
- Ideal for: Founders building sports analytics tools, Teams wanting modern dashboards instead of spreadsheets, Media companies exploring data-driven storytelling
2
The Challenge
- Existing sports analytics tools were either too generic or too complex, leaving many teams stuck with exporter spreadsheets and manual work.
- Difficult to combine different data sources into coherent views
- Slow to answer ‘why’ questions about performance trends
- Limited ways to share insights with coaches and players
3
Our Solution
- Pick one league and a few core metrics, then build a clean, opinionated dashboard with AI commentary on top.
- Start with a single sport and competition
- Focus on metrics that coaches actually use in meetings
- Use AI for narrative summaries and comparisons, not raw metric computation
4
Results & Impact
- Early teams used the platform in weekly review sessions and requested expanded coverage, giving the founder strong validation and upsell opportunities.
- Proves demand for modern sports analytics UX
- Shows that AI narratives can coexist with traditional stats
- Establishes a foundation for a deeper analytics product
Key Features & Scalability
Essential features and scalability measures that make this MVP powerful, user-friendly, and ready to grow.
AI-Powered Narratives
Natural-language summaries of performance trends and outliers that coaches can read quickly.
Scenario Queries
Ask questions like “How do we perform in late-game possessions?” and see tailored breakdowns.
Engineered for one league first, but with schemas that can expand to multiple.
Initial infrastructure setup designed for growth and expansion.
Scaling Strategy
Add more leagues and tiers over time, Layer in premium analytics packages for top teams
Handles heavy usage during game days and review sessions with pre-computed views.
Traffic handling capability for high-volume concurrent users.
How We Built It
Our step-by-step development process from concept to deployment, ensuring quality and efficiency at every stage.
01
League & Metric Selection
Aligned with early adopter teams on which competitions and stats mattered most.
02
Dashboard & UX Design
Designed layouts that could be used live in meetings and film sessions, not just behind desks.
03
AI Insight Layer
Added narrative summaries and comparisons on top of vetted, pre-computed stats.
04
Design System
Sporty visual language with clear emphasis on key numbers.
05
Wireframes
Big, readable dashboards suitable for large screens and tablets.
06
Handoff Process
Close collaboration with coaches for terminology and phrasing.
Core Product Modules
1
User App
- Team & Player Dashboards
Centralized views of key stats, trends, and comparisons over recent games.
- AI Game Summaries
Automatically generated breakdowns of why games were won or lost, with key moments and patterns.
2
Admin Panel
- Data Feed Management
Configure and monitor data providers, ingestion schedules, and quality checks.
- Metric Configuration
Adjust which metrics appear for different roles (coaches vs analysts vs scouts).
Technology Stack
We use modern tools to build AI apps that grow with you. We pick the best tools for each project, like React, Next.js, Python, and Go.
Performance & Security
Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.
Frontend Performance
Cached chart data, Incremental updates between games
Backend Performance
Batch ingestion and transformation, Pre-computed aggregates
Database Performance
Partitioning by season and competition, Indexes for key filters
Authentication
Role-based access for staff and analysts, with organization-level boundaries.
Data Protection
Encrypted data at rest and in transit, Backup and recovery procedures for historical stats
Security Best Practices
Strict separation between organizations’ data, Audit logs for downloads and exports
Performance & Security
Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.
Frontend Performance
Cached chart data, Incremental updates between games
Backend Performance
Batch ingestion and transformation, Pre-computed aggregates
Database Performance
Partitioning by season and competition, Indexes for key filters
Authentication
Role-based access for staff and analysts, with organization-level boundaries.
Data Protection
Encrypted data at rest and in transit, Backup and recovery procedures for historical stats
Security Best Practices
Strict separation between organizations’ data, Audit logs for downloads and exports
Project Timeline
1
Week 1 – Data & Metrics
1 week
- Metric definitions
- data integration plan
2
Week 2 – Dashboards
1 week
- Team and player views
- baseline charts
3
Week 3–4 – AI & Pilot
1–2 weeks
- AI narratives
- pilot rollout to early teams
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