Ghaziabad 2023 Chart

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Game
Result
Time

Disawar

97
17-10-2026
05:15 AM
Disawar
97
05:15 AM

Gali Disawar Mix

06
16-10-2026
08:15 PM
Gali Disawar Mix
06
08:15 PM

Delhi Bazar

16
17-10-2026
03:15 PM
Delhi Bazar
16
03:15 PM

Shri Ganesh

55
17-10-2026
04:45 PM
Shri Ganesh
55
04:45 PM

Faridabad

29
16-10-2026
06:17 PM
Faridabad
29
06:17 PM

Ghaziabad

42
16-10-2026
09:20 PM
Ghaziabad
42
09:20 PM

Gali

51
16-10-2026
11:58 PM
Gali
51
11:58 PM

Milan Day

579.1
17-10-2026
03:20 - 05:00 PM
Milan Day
579.1
03:20- 05:00

Kalyan

250.7
17-10-2026
04:10 - 06:10 PM
Kalyan
250.7
04:10- 06:10

Milan Night

235.0 3.490
16-10-2026
09:05 - 11:05 PM
Milan Night
235.0 3.490
09:05- 11:05

Kalyan Night

670.3 2.200
30-09-2026
09:35 - 11:35 PM
Kalyan Night
670.3 2.200
09:35- 11:35
Weekly Ghaziabad Results for 2023
Date MON TUE WED THU FRI SAT SUN
01/01/2023
to
08/01/2023
26775106836315
08/01/2023
to
15/01/2023
46631123556508
15/01/2023
to
22/01/2023
02834713474162
22/01/2023
to
29/01/2023
02173943225241
29/01/2023
to
05/02/2023
5411##75095362
05/02/2023
to
12/02/2023
96792097788254
12/02/2023
to
19/02/2023
13902816533173
19/02/2023
to
26/02/2023
91656801145150
26/02/2023
to
05/03/2023
3810##59773688
05/03/2023
to
12/03/2023
74402538235888
12/03/2023
to
19/03/2023
87078568856108
19/03/2023
to
26/03/2023
58070387402007
26/03/2023
to
02/04/2023
9499799601##82
02/04/2023
to
09/04/2023
13720355739672
09/04/2023
to
16/04/2023
62636772366097
16/04/2023
to
23/04/2023
59577950017699
23/04/2023
to
30/04/2023
14165201129640
30/04/2023
to
07/05/2023
##555819194949
07/05/2023
to
14/05/2023
59501003482609
14/05/2023
to
21/05/2023
49552135354529
21/05/2023
to
28/05/2023
57342932211406
28/05/2023
to
04/06/2023
003644##603448
04/06/2023
to
11/06/2023
90159361224831
11/06/2023
to
18/06/2023
93845638668414
18/06/2023
to
25/06/2023
72817963906463
25/06/2023
to
02/07/2023
5158405495##25
02/07/2023
to
09/07/2023
12979025820128
09/07/2023
to
16/07/2023
73248257651027
16/07/2023
to
23/07/2023
60063001176083
23/07/2023
to
30/07/2023
18767375637147
30/07/2023
to
06/08/2023
95##8740521309
06/08/2023
to
13/08/2023
55892221006472
13/08/2023
to
20/08/2023
42847987125533
20/08/2023
to
27/08/2023
73217720180343
27/08/2023
to
03/09/2023
27891328##9662
03/09/2023
to
10/09/2023
61447480735458
10/09/2023
to
17/09/2023
89695239892707
17/09/2023
to
24/09/2023
89525459187465
24/09/2023
to
01/10/2023
082839024011##
01/10/2023
to
08/10/2023
51640225039324
08/10/2023
to
15/10/2023
91330501801014
15/10/2023
to
22/10/2023
43221263064050
22/10/2023
to
29/10/2023
95668021248694
29/10/2023
to
05/11/2023
1163##16609324
05/11/2023
to
12/11/2023
05703495846899
12/11/2023
to
19/11/2023
72132965979717
19/11/2023
to
26/11/2023
56011996520524
26/11/2023
to
03/12/2023
02920680##3973
03/12/2023
to
10/12/2023
13442298161637
10/12/2023
to
17/12/2023
68068726246111
17/12/2023
to
24/12/2023
42150288196032
24/12/2023
to
31/12/2023
66470785413588
31/12/2023
to
07/01/2024
##############

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.