A date-wise results archive is one of the simplest useful datasets you can publish. Each record answers a narrow question: what came out, and when? While working on a lottery archive, I settled on a small, flat structure that is easy to reason about.
Structure of the archive
Every entry has four parts: the date, the draw time (1 PM, 6 PM or 8 PM), the series, and the number. The date plus draw time forms a natural key, since only one result exists per slot. Series and number are stored as separate fields, but the full ticket is also kept as one normalized string such as "63A 12345".
{ "date": "2026-10-21", "draw": "6PM", "series": "63A", "number": "12345" }
Grouping by date, then by draw time, gives a page layout that mirrors how people think: pick a day, see up to three draws.
Exact match beats partial match
It is tempting to let users type a few digits and show everything that looks similar. For results data, that backfires. A ticket is either a winner or it is not, and fuzzy matching creates false positives that look like wins. Exact match on the full ticket (series plus number) gives a single, unambiguous answer, and it is trivial to index: a hash lookup, no scoring, no ranking.
My rule: normalize input (trim, uppercase, collapse spaces), then compare the whole string. If nothing matches, say so plainly.
Keep it static and fast
Past results never change, so the archive is a perfect fit for static generation. Pre-render one page per date, serve it from a CDN, and keep client-side JavaScript minimal. For lookup, ship a small JSON index per month and fetch only what is needed. No database, no server round trips, and almost nothing to break.
For a real-world example of this layout, see the Dear Lottery past results chart.
Takeaways
- Use date plus draw time as the key.
- Store a normalized full ticket for exact matching.
- Prefer static pages and small indexes over dynamic backends.
Simple data deserves a simple architecture.
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