I started this project from a familiar problem: sports apps look simple at first, but they rarely stay simple. The moment you need leagues, fixtures, live scores, standings, teams, and player data in one place, the code can get scattered fast. Different pages end up fetching data in different ways, error handling becomes inconsistent, and the app turns into a collection of one-off API calls.
My goal with this starter was to keep that from happening. I wanted a clean Next.js foundation that could talk to Sportmicro through one reusable client, render server-side by default, and stay easy to extend as the product grows. If you want to see the finished project, View the repository.
What this starter is trying to solve
This is an open-source Next.js starter for sports applications powered by Sportmicro. The focus is not on flashy UI tricks. It’s on giving developers a practical base for building a sports app with live scores, fixtures, standings, teams, and player-statistics examples already wired into a sensible structure.
That matters because sports data apps usually move in phases:
- first you show a few lists,
- then you add live match views,
- then standings and team pages,
- then player-level details,
- then maybe filters, detail routes, and dashboards.
If each of those screens is built differently, you end up maintaining multiple versions of the same integration logic. This starter takes the opposite approach: put the Sportmicro connection in one place, make the page server-rendered, and reuse small UI components for presentation.
The architecture I settled on
The project is intentionally small, and the file tree reflects that.
app/
globals.css
layout.tsx
page.tsx
components/
feature-card.tsx
section.tsx
lib/
sportmicro-client.ts
There are only a few moving parts, but each one has a clear job:
-
app/layout.tsxsets the document metadata and root shell. -
app/page.tsxacts as the main server-rendered page. -
lib/sportmicro-client.tscentralizes all Sportmicro requests. -
components/section.tsxkeeps section headings consistent. -
components/feature-card.tsxdisplays API items in a predictable card format.
That’s the kind of architecture I like for a starter: small enough to understand in one sitting, but structured enough that future routes can follow the same pattern.
The app uses the Next.js App Router, TypeScript, and Tailwind CSS. That combination is a good fit for this kind of project because it keeps the code strongly typed, the UI easy to iterate on, and the server/client split very clear.
How Sportmicro is integrated
The integration lives in lib/sportmicro-client.ts, and that’s the most important part of the whole project.
The client reads SPORTMICRO_API_KEY from the environment, builds request URLs, sends requests with the Authorization: Bearer ... header when the key exists, and uses cache: 'no-store' so the data is fetched fresh on each request. That keeps secrets out of the browser and keeps the API access path centralized.
The client exposes methods for the endpoints used by this starter:
getSports()getLeagues()getLiveMatches()getStandings()getTeams()getPlayersStatistics()
The endpoint URLs are scoped to football in the client for the data-fetching methods, while getSports() returns a simple list of sports entries for football, basketball, and tennis. That gives the starter a multi-sport entry point while still showing how a specific Sportmicro API area can be used.
The important design choice here is not just that the data comes from Sportmicro. It’s that every request goes through the same reusable class. If I want to add more Sportmicro-backed views later, I don’t need to reinvent the request layer.
The implementation flow
The main page in app/page.tsx is asynchronous and fetches all of its data on the server. It creates a SportmicroClient, then uses Promise.allSettled() to request several categories in parallel:
- sports
- leagues
- live matches
- standings
- teams
- player statistics
I like this approach for a starter because it keeps the page responsive without assuming that every request will succeed. With Promise.allSettled(), one failing request does not force the entire page to fail. That’s useful in sports apps, where different endpoints can vary in availability depending on the data you’re requesting.
After fetching, the page renders a series of sections. Each section has:
- a title,
- a short description,
- and a grid of cards if data is available.
The Section component keeps the headings consistent. The FeatureCard component takes whatever item it receives and tries to extract a human-readable title and subtitle from common fields like name, title, id, status_type, description, type, or league_name. If no obvious text field exists, it falls back to a neutral label and still prints the JSON payload.
That last part is practical. Sports APIs often return different shapes across resources, so a starter should not assume every response looks the same. Showing the raw object makes the structure visible without forcing premature normalization.
The server-side rendering choice
This project uses server-side fetching for the main page, and that’s a good fit for a sports data API starter.
The repository clearly shows that the data calls happen in the server component itself, not in a client-side effect. That means credentials can stay on the server and the first render can already contain useful HTML when data is available.
For sports content, that’s a strong default. League pages, team pages, standings pages, and even some live data screens are often better when the initial view is rendered server-side. It simplifies the architecture and avoids pushing every request into the browser.
Empty states are part of the design
One detail I appreciate in this starter is the SafeGrid helper inside app/page.tsx.
If a request is fulfilled and returns data, the section renders a grid of cards. If not, it shows a dashed empty-state container that explains no data has been returned yet and points you toward using a valid SPORTMICRO_API_KEY and the exact query you need.
That matters because a starter should feel honest. It shouldn’t fake data just to make the page look complete. In a real sports app, empty states are not edge cases; they are part of the development workflow. Maybe the API key is missing. Maybe the query is wrong. Maybe the data source has no current records. A clean empty state helps you understand what’s happening instead of hiding the problem.
The overall flow from request to UI
If I trace one item through the app, it looks like this:
- The page calls a method on
SportmicroClient. - The client builds the Sportmicro URL and adds the API key header when present.
- The server component waits for the result.
-
SafeGriddecides whether there is data to render. -
FeatureCarddisplays the item in a readable way.
That flow is simple, but it’s also reusable. The same pattern can support new pages later without changing the underlying integration approach.
Local setup, as supported by the repository
The repository includes enough evidence for a basic local setup flow:
- install dependencies with
npm install - copy
.env.exampleto.env.local - set
SPORTMICRO_API_KEY - run
npm run dev - use
npm run buildandnpm testwhen validating changes
That’s exactly the kind of setup I would expect for a starter like this. The repo also includes tests for the Sportmicro client, which is a good sign that the integration layer is meant to stay maintainable.
I’m not claiming anything beyond what’s in the repository, but the structure makes it clear that the project is intended to be run locally with an environment variable for the API key and standard Next.js scripts for development, build, and test workflows.
What the tests suggest about the project
There are test files for the Sportmicro client in both .mjs and .ts formats. That tells me the client is considered a first-class part of the codebase, not just a helper tucked away without coverage.
For a starter, that’s the right place to focus tests. If the client changes incorrectly, everything above it changes too. A broken request builder, a missing header, or a malformed query string can affect every sports screen in the app. Testing the integration layer first is a practical choice.
The value of the UI primitives
The component split is small but intentional.
Section is basically a layout primitive for content blocks. It keeps section headings, descriptions, and child content aligned consistently.
FeatureCard is the visual wrapper for API responses. It is deliberately generic. Instead of pretending it knows the shape of every Sportmicro response, it uses a few common field names and falls back gracefully.
That gives the starter a useful balance:
- reusable enough to avoid duplication,
- generic enough to handle multiple resource types,
- simple enough that you can replace it later with more specialized cards.
Sensible next improvements
If I were extending this starter, I would keep the same philosophy and add features carefully.
A few natural next steps would be:
- dedicated pages for fixtures, standings, live scores, or teams
- more specific TypeScript types for each Sportmicro response shape
- loading UI for slower requests
- better route-level organization as the app grows
- specialized cards for teams, matches, or standings instead of one generic card
- query controls for filtering or changing limits
I’d also consider separating the data presentation further once the app grows beyond a landing page. The current structure is ideal for a starter, but sports apps often evolve quickly, and dedicated components for each resource type would make the interface clearer over time.
The main thing I would avoid is overcomplicating the first version. This project works because it stays focused: one client, one page, a few reusable components, and safe rendering patterns.
The takeaway
The biggest lesson from building this starter is that sports apps become much easier to manage when the data layer is centralized and the UI is allowed to stay simple.
That’s why this project works as a foundation. It doesn’t try to be everything at once. It shows how to:
- connect a Next.js app to Sportmicro,
- keep API logic in one client,
- render sports data server-side,
- handle missing data cleanly,
- and leave room for future pages.
If you’re building a sports application and want a practical starting point, this is the kind of structure that helps you move quickly without painting yourself into a corner.
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