How to Build a Snooker Tournament Dashboard with Sportmicro

I wanted a snooker dashboard that felt like a real application, not a throwaway API demo.

The goal of this project was simple: build a production-style dashboard around the Sportmicro sports data API, using Next.js, React, and TypeScript, while keeping the integration easy to inspect and extend. Instead of hardcoding data or hiding the provider behind a large abstraction, I treated the app as a practical example of how to work with a snooker tournament dashboard API in a clean, server-side-friendly way.

What made the project interesting to me was the shape of the data itself. Tournaments, seasons, teams, matches, and cup brackets are related, but they do not always arrive in perfect order or with complete fields. That pushed me to design the app around a few core concerns:

• keep Sportmicro access in one place
• handle loading, empty, and error states explicitly
• preserve stable UI behavior even when data is incomplete
• make the dashboard readable enough that another developer could extend it without guessing

View the repository

What I built and why I kept the scope narrow

The repository is intentionally focused on one workflow: explore snooker tournament data from Sportmicro and inspect the related records that matter to a developer.

From the README and code, the dashboard currently works with these documented Sportmicro endpoints:

• /tournaments
• /seasons-by-tournament
• /teams-by-tournament
• /matches
• /cup-bracket

That selection was enough to build a useful demo without pretending to be an exhaustive sports platform. I like this scope because it demonstrates a realistic integration pattern: fetch a list of tournaments, let the user narrow the list, then load detail data for the selected tournament.

The app structure reflects that same constraint. It is not a multi-page product with dozens of views. It is a single dashboard page that prioritizes clarity over feature breadth.

A concise project tree makes that easier to see:

src/
  app/
    error.tsx
    globals.css
    layout.tsx
    loading.tsx
    page.tsx
  lib/
    sportmicro.ts
    tournament-dashboard.ts
tests/
  tournament-dashboard.test.ts

That layout tells the story of the project pretty well: route-level UI in src/app, API access and helpers in src/lib, and tests that focus on the data logic rather than the whole app.

The architecture: keep provider logic out of the UI

The first design decision I made was to separate Sportmicro communication from the page component.

The repository does that in src/lib/sportmicro.ts, which owns:

• the Sportmicro base URL
• request construction
• API key handling through SPORTMICRO_API_KEY
• response parsing
• basic error normalization

This is the kind of boundary I reach for whenever a project depends on an external API. The UI should know what data it wants, not how each request is assembled.

The client is small but practical. It exposes methods for the documented snooker endpoints and uses a helper to build query parameters only when values are present. That keeps URL construction consistent and avoids clutter in the component layer.

A simplified view of that pattern is visible in the repository:

export function createSportmicroClient(config) {
  return {
    async getTournaments(filters?: { leagueId?: string; classId?: string }) {
      const url = createUrl(baseUrl, '/tournaments', {
        league_id: buildQueryParam('league_id', filters?.leagueId),
        class_id: buildQueryParam('class_id', filters?.classId),
      });
      return requestJson<Tournament[]>(url, config);
    },
    async getMatchesByTournament(tournamentId: string) {
      const url = createUrl(baseUrl, '/matches', {
        tournament_id: buildQueryParam('tournament_id', tournamentId),
      });
      return requestJson<Match[]>(url, config);
    },
  };
}

That pattern gives me two useful benefits:

1. The page can request a tournament list or tournament details without knowing anything about URL formatting.
2. Extending the project later means adding another client method rather than scattering fetch logic across the app.

I also appreciate that the project keeps the API key on the server side. The page creates the client from process.env.SPORTMICRO_API_KEY, which matches the repository’s goal of avoiding exposed credentials and using the same configuration model locally and in deployment.

How the dashboard flows from search to detail view

The main page in src/app/page.tsx follows a straightforward flow:

1. create the Sportmicro client
2. fetch tournaments
3. filter them using the search query
4. select one tournament
5. fetch its related seasons, teams, matches, and cup bracket data
6. render the dashboard with explicit state handling

That sequence is easy to read because the file keeps the orchestration in one place. The page component is server-rendered, and it only asks for the data it needs based on the current search params.

The search experience is intentionally modest. The helper in src/lib/tournament-dashboard.ts trims and lowercases the query, then checks a small set of fields:

• tournament name
• tournament ID
• league ID
• class ID

That choice felt right for this project because the goal was not to build a complex search system. It was to create a useful browsing experience with almost no extra machinery.

The match list also has one implementation detail worth highlighting: deterministic sorting.

Sports data can arrive with incomplete timestamps, and if a list order shifts from refresh to refresh, the UI starts to feel unstable. The repository avoids that by sorting in layers: known start time first, then status type, then match ID.

Here is the relevant logic:

export function sortMatches(matches: Match[]) {
  return [...matches].sort((a, b) => {
    const aTime = a.start_time ? Date.parse(a.start_time) : Number.NaN;
    const bTime = b.start_time ? Date.parse(b.start_time) : Number.NaN;

    if (!Number.isNaN(aTime) && !Number.isNaN(bTime) && aTime !== bTime) {
      return aTime - bTime;
    }
    if (!Number.isNaN(aTime)) return -1;
    if (!Number.isNaN(bTime)) return 1;

    const aStatus = a.status_type ?? '';
    const bStatus = b.status_type ?? '';
    if (aStatus !== bStatus) return aStatus.localeCompare(bStatus);

    return String(a.id).localeCompare(String(b.id));
  });
}

That is a small function, but it solves a real UX issue: list order should stay predictable even when upstream data is imperfect.

The page also treats loading, empty, and failure as first-class outcomes. If the tournament list cannot load, the UI shows a visible error. If the search returns nothing, it tells the user to adjust the query instead of presenting a blank state. And if a selected tournament has no related records, the summary panel explains that too. That feels appropriate for a dashboard built on live sports data.

Challenges and trade-offs

I did not document a dramatic failure during the build, so the more honest way to frame this section is as a set of constraints I had to design around.

The biggest trade-off was scope. Sportmicro exposes a broader API, but this repository intentionally sticks to a narrow snooker workflow. That means the project is easier to understand, easier to test, and less likely to drift into vague “integration demo” territory.

A few other design constraints shaped the implementation:

• Server-side credentials only: the app reads SPORTMICRO_API_KEY on the server, which keeps secrets out of the client bundle.
• No invented data: the UI uses actual provider responses and shows empty/error states instead of fabricating records.
• No over-engineering: the repo uses small modules and simple helpers instead of introducing a heavy state-management layer.
• Explicit boundaries: Sportmicro request logic lives in one file, and UI-friendly filtering/sorting lives in another.

Those choices may sound conservative, but for a sports data dashboard they matter. When the provider response changes or a field is missing, a narrow architecture is easier to reason about than a clever one.

Local setup and what the repository supports

The repository does document how to run the project locally, so I can speak to that part confidently.

The setup is straightforward:

npm install
cp .env.example .env.local
SPORTMICRO_API_KEY=your_sportmicro_api_key_here
npm run dev

The README also shows npm run build and npm test, and the package.json confirms the available scripts:

• dev
• build
• start
• test
• typecheck

That lines up with the rest of the codebase: a Next.js app with TypeScript, Tailwind CSS, and a small Node test suite. There is no evidence of a more complicated local environment, so I would keep expectations aligned with that simple setup.

If I were reusing this project as a starting point, I would appreciate that the local workflow is minimal. It is just enough to validate the integration without hiding behind a long bootstrap process.

Sensible next improvements

A few future improvements would make sense here, and they follow naturally from the current structure:

• Add more documented endpoints where useful: the client is already set up for extension, so additional Sportmicro methods would fit cleanly.
• Add runtime validation near the API boundary: the app currently works with typed shapes, but validation would make the edge between raw data and UI even safer.
• Cache repeated requests on the server: tournament detail data is a good candidate if the same tournament is revisited often.
• Expand the detail view: the repository already fetches seasons, teams, matches, and cup bracket rows, so a richer presentation of those records would be a natural next step.
• Broaden tests around the helpers and client boundary: the sort and filter logic is small enough that coverage would stay readable.

I would treat those as evolutions, not prerequisites. The current implementation already does the important part: it demonstrates a real integration pattern without hiding the edges of the API.

Takeaway

What I like most about this project is that it treats sports data as a systems problem, not just a UI problem.

The useful lessons here are not specific to snooker. They are the same ones I would carry into any app that consumes live or semi-live provider data:

• keep provider details isolated
• make empty and error states visible
• sort and filter with the data’s imperfections in mind
• keep secrets on the server
• build a narrow, understandable first version

That approach makes the dashboard feel durable, even if the API is imperfect or the data is incomplete. And for a developer exploring Sportmicro, that is the real value: a clean reference implementation that shows how to build around a live sports data API without turning the app into a pile of fetch calls.