Live frequency data for Panna & Jodi across Kalyan, Milan, Rajdhani, Main Bazar and 5 more markets. Updated every night.
Every number that appears in a Satta Matka result leaves a trace. Over weeks and months, some Pannas keep showing up while others quietly disappear. That gap between frequent numbers and absent ones is what players often want to know about. This analyzer reads through years of historical CSV data — going back to 2012 for most markets — and lays it all out in a way that is actually easy to read.
There are three main things you can check for each market. First, the Hot Numbers — Pannas that appeared most this week and this month. Second, the All-Time Top 20 — numbers that have historically dominated the chart since records began. Third, the Jodi Stats — the most repeated two-digit Jodis and the ones that have stayed cold for 30 days or more.
None of this is about predictions. The tool does not tell you what will come next. It simply shows what has already happened, organised clearly so you can review it without digging through hundreds of rows of chart data manually.
Using it is straightforward. At the top of the page you will see nine market buttons. Each button represents a different Matka market. Tap or click any one of them and the data loads within a second or two. Once it loads, you will see three tabs: Hot Numbers, All-Time Top, and Jodi Stats.
Once a market is loaded, its data is stored in memory. Clicking the same market button again is instant — no reload, no extra request. You only wait the first time.
The analyzer pulls data from nine separate market files. Each one is updated automatically every night around 12:30 AM, so by the time you check in the morning, yesterday's results are already included in the counts.
| # | Market Name | Hindi Name | Type |
|---|---|---|---|
| 1 | Sridevi | श्रीदेवी | Day |
| 2 | Madhuri | माधुरी | Day |
| 3 | Time Bazar | टाइम बाज़ार | Day |
| 4 | Milan Day | मिलन डे | Day |
| 5 | Kalyan | कल्याण | Evening |
| 6 | Milan Night | मिलन नाइट | Night |
| 7 | Rajdhani Night | राजधानी नाइट | Night |
| 8 | Main Bazar | मेन बाज़ार | Night |
| 9 | Kalyan Night | कल्याण नाइट | Night |
The concept is simple once you see it in action. Imagine a Panna like 137 appeared six times in the last four weeks across Monday, Wednesday, and Friday draws. That makes it hot — actively cycling through the results at a higher rate than most other numbers. On the other side, a Panna like 458 might not have shown up at all for the past 47 days. That is a cold number.
People read into these patterns in different ways. Some feel that a number that has been cold for a long time is overdue. Others think a hot number is riding momentum and will stay active. Neither view is something the data can confirm — what it can do is give you accurate information about the actual history, so whatever approach you follow, you are working from real counts rather than guesses.
The cold section in the Jodi Stats tab goes further by separating numbers into two bands: those absent for 30 to 59 days (shown in teal) and those absent for 60 days or more (shown in purple). A Jodi in the purple band has genuinely been missing for a long stretch and stands out visually the moment you look at the list.
The heatmap at the top of the Hot Numbers tab is one of the more useful parts of the page. Instead of just reading a ranked list, you get a visual grid where the shade of each cell reflects how frequently that Panna appeared. Darker, more saturated cells are the high-frequency numbers. Lighter cells near the edges of the grid are the ones that appear less often relative to the top performers.
Hovering over any cell (or tapping on mobile) shows the exact count. So if you see a deep-coloured cell but want the precise number, you do not have to guess — the tooltip shows it right there. The grid covers the top 40 Pannas, which is usually enough to give you a clear picture of where the bulk of the frequency is concentrated.
Each market's heatmap looks different. Kalyan, being one of the longest-running markets with data going back to 2012, tends to show a more spread-out distribution. A newer or less active market may have a steeper concentration where a handful of numbers dominate more heavily.
A Panna (sometimes written as Patti) is the three-digit result from either the Open or Close draw. In the CSV data, each week has six Open columns and six Close columns — one for each day Monday through Saturday. All of these are counted together to build the Panna frequency table. So a single week can contribute up to 12 Panna appearances to the total count.
A Jodi is the two-digit number from the middle column, which represents the last digits of the Open and Close combined. The analyzer tracks all six Jodi columns per week separately. Jodis are zero-padded so 05 stays as 05 rather than being counted as 5 — this keeps the data consistent when you compare across draws.
Both types of data are updated from the same CSV source every night, so the frequency counts always reflect the latest available results.
One thing people often find useful is comparing the same number across different markets. A Panna that appears frequently in Kalyan might barely register in Rajdhani Night, or vice versa. Each market has its own rhythm, and the numbers that dominate one chart do not necessarily carry over to another.
The market selector at the top makes this kind of comparison easy. Load Kalyan, note the top numbers, then switch to Milan Night and compare. The data for already-loaded markets is cached in memory, so going back and forth between two markets does not trigger repeated requests. It stays instant.
It is worth being direct about this. The analyzer shows past frequency data. It does not generate tips, predictions, or any kind of guaranteed numbers. The results in Satta Matka are not predetermined by historical patterns — each draw is independent.
People use frequency data in many ways. Some treat it as context before making decisions. Some just like knowing the history of a number they follow. Some check cold numbers out of curiosity. However you use it, the tool gives you accurate historical information and nothing beyond that.
There is also a practical limit to how far back the data goes. Most markets have records starting from 2012 or 2013, which is a solid base of over a decade. But some markets may have fewer weeks of data depending on when they were established or when records began being maintained. The total week count shown in the market header reflects exactly how many weeks of data are available for that particular market.