Ghaziabad 2022 Chart
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Disawar
05:15 AM
Gali Disawar Mix
08:15 PM
Delhi Bazar
03:15 PM
Shri Ganesh
04:45 PM
Faridabad
06:17 PM
Ghaziabad
09:20 PM
Gali
11:58 PM
Milan Day
03:20 - 05:00 PM
Kalyan
04:10 - 06:10 PM
Milan Night
09:05 - 11:05 PM
Kalyan Night
09:35 - 11:35 PM
| Date | MON | TUE | WED | THU | FRI | SAT | SUN |
|---|---|---|---|---|---|---|---|
| 01/01/2022 to 02/01/2022 | ## | 45 | 39 | 88 | 90 | 79 | 40 |
| 08/01/2022 to 09/01/2022 | 80 | 43 | 58 | 78 | 71 | 76 | 51 |
| 15/01/2022 to 16/01/2022 | 40 | 15 | 02 | 34 | 52 | 57 | 74 |
| 22/01/2022 to 23/01/2022 | 94 | 43 | 50 | 64 | 65 | 29 | 25 |
| 29/01/2022 to 30/01/2022 | 97 | 83 | ## | 58 | 33 | 40 | 14 |
| 05/02/2022 to 06/02/2022 | 31 | 37 | 45 | 92 | 32 | 07 | 07 |
| 12/02/2022 to 13/02/2022 | 44 | 79 | 02 | 62 | 24 | 42 | 24 |
| 19/02/2022 to 20/02/2022 | 55 | 95 | 66 | 94 | 26 | 69 | 18 |
| 26/02/2022 to 27/02/2022 | 66 | 14 | ## | 01 | 81 | 85 | 91 |
| 05/03/2022 to 06/03/2022 | 49 | 75 | 31 | 55 | 76 | 50 | 86 |
| 12/03/2022 to 13/03/2022 | 38 | 34 | 01 | 50 | 43 | 12 | 52 |
| 19/03/2022 to 20/03/2022 | 43 | 16 | 53 | 33 | 50 | 14 | 37 |
| 26/03/2022 to 27/03/2022 | 54 | 93 | 75 | 11 | 72 | ## | 46 |
| 02/04/2022 to 03/04/2022 | 30 | 33 | 45 | 68 | 16 | 12 | 32 |
| 09/04/2022 to 10/04/2022 | 82 | 92 | 83 | 59 | 84 | 93 | 56 |
| 16/04/2022 to 17/04/2022 | 91 | 83 | 61 | 64 | 53 | 55 | 94 |
| 23/04/2022 to 24/04/2022 | 69 | 88 | 22 | 75 | 98 | 93 | 36 |
| 30/04/2022 to 01/05/2022 | ## | 51 | 31 | 79 | 78 | 02 | 08 |
| 07/05/2022 to 08/05/2022 | 54 | 20 | 98 | 06 | 02 | 64 | 30 |
| 14/05/2022 to 15/05/2022 | 60 | 48 | 37 | 37 | 42 | 91 | 27 |
| 21/05/2022 to 22/05/2022 | 01 | 74 | 35 | 86 | 36 | 61 | 16 |
| 28/05/2022 to 29/05/2022 | 26 | 78 | 17 | ## | 61 | 37 | 72 |
| 04/06/2022 to 05/06/2022 | 56 | 81 | 98 | 42 | 88 | 66 | 71 |
| 11/06/2022 to 12/06/2022 | 28 | 17 | 55 | 81 | 06 | 87 | 67 |
| 18/06/2022 to 19/06/2022 | 08 | 92 | 66 | 35 | 66 | 59 | 22 |
| 25/06/2022 to 26/06/2022 | 84 | 12 | 03 | 07 | 65 | ## | 92 |
| 02/07/2022 to 03/07/2022 | 89 | 15 | 52 | 75 | 05 | 82 | 60 |
| 09/07/2022 to 10/07/2022 | 88 | 94 | 24 | 71 | 95 | 01 | 48 |
| 16/07/2022 to 17/07/2022 | 05 | 02 | 69 | 60 | 39 | 79 | 92 |
| 23/07/2022 to 24/07/2022 | 10 | 46 | 77 | 82 | 16 | 83 | 14 |
| 30/07/2022 to 31/07/2022 | 80 | ## | 54 | 12 | 28 | 57 | 02 |
| 06/08/2022 to 07/08/2022 | 67 | 90 | 22 | 67 | 35 | 03 | 10 |
| 13/08/2022 to 14/08/2022 | 77 | 43 | 44 | 44 | 22 | 12 | 31 |
| 20/08/2022 to 21/08/2022 | 03 | 31 | 50 | 90 | 21 | 94 | 30 |
| 27/08/2022 to 28/08/2022 | 19 | 58 | 41 | 57 | ## | 93 | 30 |
| 03/09/2022 to 04/09/2022 | 30 | 16 | 15 | 46 | 68 | 83 | 74 |
| 10/09/2022 to 11/09/2022 | 64 | 00 | 33 | 66 | 94 | 36 | 34 |
| 17/09/2022 to 18/09/2022 | 55 | 92 | 45 | 16 | 21 | 44 | 54 |
| 24/09/2022 to 25/09/2022 | 71 | 13 | 86 | 80 | 86 | 76 | ## |
| 01/10/2022 to 02/10/2022 | 71 | 98 | 38 | 00 | 74 | 00 | 51 |
| 08/10/2022 to 09/10/2022 | 95 | 29 | 34 | 27 | 02 | 56 | 13 |
| 15/10/2022 to 16/10/2022 | 70 | 63 | 20 | 51 | 21 | 36 | 20 |
| 22/10/2022 to 23/10/2022 | 59 | 66 | 32 | 00 | 11 | 32 | 71 |
| 29/10/2022 to 30/10/2022 | 74 | 60 | ## | 70 | 83 | 07 | 01 |
| 05/11/2022 to 06/11/2022 | 11 | 51 | 96 | 57 | 26 | 69 | 88 |
| 12/11/2022 to 13/11/2022 | 85 | 21 | 27 | 79 | 25 | 84 | 81 |
| 19/11/2022 to 20/11/2022 | 73 | 99 | 59 | 03 | 63 | 79 | 03 |
| 26/11/2022 to 27/11/2022 | 83 | 65 | 45 | 56 | ## | 58 | 29 |
| 03/12/2022 to 04/12/2022 | ## | 86 | 11 | 72 | 45 | 94 | 17 |
| 10/12/2022 to 11/12/2022 | 96 | 23 | 66 | ,82 | 35 | 94 | 18 |
| 17/12/2022 to 18/12/2022 | 08 | 77 | 53 | 93 | 09 | 01 | 07 |
| 24/12/2022 to 25/12/2022 | 31 | 35 | 06 | 15 | 05 | 89 | 91 |
| 31/12/2022 to 01/01/2023 | ## | ## | ## | ## | ## | ## | ## |
Ghaziabad Chart: Prime Evening Historical Log, Daily Outcome Tables & Trend Analysis
The Ghaziabad Chart forms the core of mid-evening record keeping. Positioned between the opening evening entries and midnight regional logs, the Ghaziabad database offers a critical benchmark for evaluating sequential patterns. This page provides a verified, mobile-optimized repository of daily records, monthly registers, and long-term trend data for data analysts and statistical hobbyists.
Because mid-evening figures reflect shifts following early-evening timelines, examining long-term Ghaziabad records allows observers to study frequency variance across continuous operational cycles. To compare Ghaziabad entries with earlier evening or late-night figures, visit the Gali Disawar Mix homepage to review integrated tabular summaries across all daily categories.
Understanding the Ghaziabad Ledger Format
- Chronological Date Logging: Continuous date sequencing ensures historical audits remain seamless across all 12 calendar months.
- Consolidated Outcome Entry: Clear two-digit standardized numerical entries that facilitate automated sorting and manual auditing.
- Weekly Frequency Categorization: Identifies persistent digit runs and common clusters across specific operational weekdays.
Analytical Methods Applied to Ghaziabad Data
- Quadrant Division: Splitting values into four quartiles (01–25, 26–50, 51–75, 76–00) to observe whether numbers balance evenly across 60-day cycles.
- Tens-Place Repetition Analysis: Tracking how many operational days elapse before the tens-place digit repeats itself.
- Inter-Market Correlation: Reviewing historical data to evaluate whether preceding evening entries show statistical alignment with Ghaziabad records.