The Delhi Noon Satta King Chart, Explained From Scratch

What a Delhi Noon chart is

A Delhi Noon chart is a table of dates with one two-digit value written against each of them. That is the entire object. It is not a forecast, a calculation or an analysis, and it makes no claim beyond a pairing: on this date, this value was published under this name.

The narrowness is what makes it useful. Because each row claims so little, each row can be checked. Anyone holding a second listing for the same date can lay the two side by side and see immediately whether they agree. Almost nothing else published around this subject has that property, and it is worth being clear that the checkability comes from the modesty of the claim rather than from anything clever in how the chart is built.

The name itself describes a slot rather than a place. The Delhi Noon series is published around midday, nominally 12:00 IST, and that timing is the whole of what distinguishes it from the other series printed on the same listings. If you have seen it written as Delhi Non, Delhi Noor, Delhi News, Dilli Noon or simply DN, those are the same name arriving through a different spelling — not separate record sets. The related chart series page sorts the genuine alternatives from the misspellings.

Anatomy of a single entry

Every record in this archive carries three things, and an entry missing any of them is incomplete rather than merely brief.

• The date. Stored year-first, in ISO form. This sounds fussy until you try to reconcile two listings and discover that one writes 03-04 for 3 April and the other writes it for 4 March. A single unambiguous format removes an entire category of error before it can start.
• The value. Two digits, 00 to 99, stored as text rather than as a number. The distinction matters: 07 and 7 are the same integer but not the same record, and a chart that has quietly dropped its leading zeros is a chart that has lost information.
• The provenance. Where the pairing came from and when it was last reviewed. Without it, an entry is a rumour with a date attached. How that provenance is established here is set out in the editorial policy.

Notice what is absent. There is no confidence score, no commentary, no relationship to the row above or below. Each entry stands alone, and the archive is simply a great many of them kept in order — 1,361 of them at the time of writing, covering 1 Jan 2023 to 22 Sep 2026.

Why the archive is three levels deep

Roughly fourteen hundred records is far too many for one page and far too few to need a search engine. The structure that fits that size is a shallow hierarchy: year, then month, then date.

Each level answers a different question. The chart archive hub answers what exists at all. A year page answers what does this year look like, showing all twelve months as one grid. A month page answers what happened on this specific date, listing every date in the month as its own row. Three clicks reaches any entry from the homepage, and at no point does anything have to be typed into a search box.

There is a second reason for the structure, less obvious and more important: it gives every part of the archive a permanent address. A month page closes at the end of its month and then stops changing. That means a link to 2026 or to any month within it stays valid indefinitely, which is what makes a record citable rather than merely viewable.

Reading the year grid

A year page renders as a single grid: days 1 to 31 down the left-hand side, January to December across the top. The cell where a row meets a column is that date’s entry, so row 14 in the March column is the record for 14 March.

Two habits make the grid much easier to read than it first appears. Read down a single column and you are reading one month in date order, which is usually what you actually want. Read across a single row and you are comparing the same day number across twelve different months, which is almost never what you want — the 14th of March and the 14th of July have nothing to do with each other, and a row that appears to show a pattern is showing you an accident of the calendar.

The grid exists for scanning, and it drops the weekday to fit twelve months on one screen. When you need the weekday, or want to read a month carefully rather than quickly, the month page is the better tool. The guide to reading data archives covers the mechanics of both in more detail.

Reading a month table

A month page — September of the current year, say — lists every date in that month as its own row, with the day of the week alongside. It is a longer page and a slower read, and it is the right one to use whenever you intend to write the value down, quote it, or compare it against another source.

The weekday column does more work than it looks like it should. It is the cheapest available check on whether you are reading the month you think you are reading: if the listing in your other hand says Tuesday and this page says Thursday, something is misaligned, and finding that out at the start costs nothing while finding it out at the end costs the whole exercise.

Empty cells, and what they mean

An empty cell in a Delhi Noon chart means no record exists for that date. It never means zero. The difference is not pedantry — 00 is a perfectly ordinary value in a two-digit series, and a chart that renders no data and the value 00 identically has destroyed the distinction between them.

There are three ordinary reasons for a gap. The date may not exist in that month, which is why the 31st row is empty in April. The date may fall outside the archive window, which starts on 1 Jan 2023. Or the source listings may have disagreed with one another, in which case the desk publishes the gap rather than choosing a side.

That last case is the one worth dwelling on, because the alternative is so tempting. It would be easy to fill a disputed date with the more common of the two candidate values, and the resulting chart would look complete. But a filled gap is visually identical to a verified record, so a single guess contaminates everything downstream of it — every count on the statistics page, every comparison anyone makes against another source. A visible gap is information. A filled one destroys information while appearing to add it.

Checking an entry you do not trust

You should not take any chart’s word for anything, this one included. Verification is a three-step habit and it takes under a minute.

1. Fix the date first

   Write the date out in full — 14 March 2026, not 14-03 — before you look at any second source. Most apparent disagreements between two charts are date-convention mismatches rather than genuine conflicts about a value.

2. Confirm the series, not just the date

   Make sure the row you are comparing against is Delhi Noon and not Punjab Day, Delhi Bazar or Delhi Day. On a multi-series listing they sit within a few lines of one another, and the values themselves carry no clue about which row they came from.

3. Compare values last

   Only once the date and the series both match does a difference in the value mean anything. If one survives that far, it is a genuine conflict worth reporting — include the date, the value shown here and the value you believe is right.

Corrections that come out of this process are published as dated notes on the page they affect, not applied silently. An archive that edits itself invisibly is one where nobody can tell what they are actually citing.

What the chart cannot tell you

A Delhi Noon chart is evidence about its own dates and about nothing else. It does not indicate what any future entry will be, and no arrangement of its rows — frequency counts, streaks, hot and cold numbers, gaps since last appearance — changes that. Each entry is independent of the ones around it.

This site publishes frequency statistics anyway, because they describe the archive accurately and because leaving readers to find the same counts on a page that presents them as a system is the worse outcome. But they are a description of 1,361 past observations and nothing more. The reasoning behind that, including why the intuition in the opposite direction is so strong, is laid out in why past charts cannot predict the next number.

If what you need is today rather than history, the result today page shows the most recent settled entry and the state of the current day. If you need a specific past date, start at the chart archive and work inward: year, then month, then date.