Satta King is often seen as a game of luck, but experienced players know better. While luck plays a role, the real winners rely on data — specifically, historical charts. These past results hold key insights into how numbers repeat, rotate, and mirror across markets. Understanding how to use these charts can turn random guessing into calculated strategy.
In this article, we’ll show you how to read, analyze, and apply historical Satta King charts to make better, more informed guesses.
What Are Satta King Charts?
A Satta chart is a record of previous winning numbers (or Jodis) for a specific market, listed by date. Each market — such as Gali, Desawar, Faridabad, and Ghaziabad — has its own unique chart.
Typical chart format:
Date Gali Desawar Faridabad Ghaziabad
July 1 47 36 92 29
July 2 29 74 38 47
July 3 83 69 29 38
July 4 38 47 74 83
These charts help you:
Detect repeating numbers
Identify mirror flows
Track digit trends
Understand market behavior
Why Historical Charts Matter
Some believe that Satta is purely random. But long-term observation shows that:
Numbers repeat in cycles (3–7 days)
Certain numbers mirror SattaKing.in each other
Markets influence each other (e.g., Desawar → Gali)
Digit endings trend (e.g., multiple results ending in "8")
Studying historical data helps you spot these flows and guess based on evidence — not emotion.
Step-by-Step: How to Analyze Historical Satta Charts
✅ Step 1: Collect 10–30 Days of Results
Focus on at least one primary market, like Desawar or Faridabad. Record daily results in a notebook or spreadsheet.
Optional: Include multiple markets to study cross-influence.
✅ Step 2: Highlight Repeats
Mark numbers that appear more than once.
Example:
29 appears on July 1 (Ghaziabad), July 2 (Gali), and July 3 (Faridabad)
47 appears on July 1 (Gali) and again on July 4 (Desawar)
These are active numbers and may hit again within 1–2 days.
✅ Step 3: Identify Mirror Patterns
Common mirror pairs:
36 ↔ 63
47 ↔ 74
29 ↔ 92
38 ↔ 83
When you see a number hit, watch its mirror in upcoming results — especially in different markets.
✅ Step 4: Look for Ending Digit Trends
If multiple results end in the same digit (like 8), that digit is trending.
Example:
July 1: 38
July 2: 28
July 3: 48
→ "8-ending" numbers are active — guess accordingly.
✅ Step 5: Observe Market Relationships
Watch how one market influences another.
Common examples:
Desawar result often predicts Gali result (mirror or repeat)
Faridabad mirrors Ghaziabad frequently
Gali results often rotate back into Desawar after 2 days
Track this behavior over a week to verify.
Turning Chart Analysis Into Guesses
Once you’ve studied your chart, shortlist numbers using this method:
Top Repeater (appeared 2+ times recently)
Mirror of Top Repeater
Ending Trend Number
Market Reaction Number (based on flow between markets)
Then choose 1–3 based on budget and strength of logic.
Sample Chart Logic Analysis
Date Desawar Faridabad
Jul 1 36 92
Jul 2 74 38
Jul 3 69 29
Jul 4 47 74
Observations:
74 repeated in Desawar and Faridabad → strong repeat
29 and 92 both appeared → mirror pattern
38 and 83 have appeared → reversed mirror logic
Guessing Strategy:
Guess 74 (recent repeater)
Consider 83 (based on mirror)
Shortlist 29 (flow + repeat)
Weekly Chart Review Routine
Do this every Sunday or Monday to plan the week:
Review all results from the past 7 days
Write down:
Repeated numbers
Mirror hits
Ending trends
Highlight markets with strongest logic
Plan 3–4 key days to guess
This is the foundation of a strong weekly plan.
Tools That Help with Chart Analysis
Notebook or Google Sheets: To record and highlight patterns
Online Satta chart websites: To get up-to-date data
Mirror number table: For fast comparison
Highlighters: Color-code repeat numbers and mirror patterns
Mistakes to Avoid with Chart Analysis
❌ Relying on One Pattern Only
If you see 83 repeating, don’t blindly guess it every day. Patterns shift. Be flexible.
❌ Ignoring Gaps
If a number hasn’t appeared in 15–20 days, it might be due. Check for long-gappers.
❌ Copying Other People’s Charts
Do your own analysis. Everyone sees different patterns. Trust your research.
❌ Overanalyzing
Limit yourself to 10–15 minutes of analysis per day. Keep it simple and focused.
