Ghaziabad 2025 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

62
16-10-2026
04:45 PM
Shri Ganesh
62
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

227.1 8.468
16-10-2026
04:10 - 06:10 PM
Kalyan
227.1 8.468
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 2025
Date MON TUE WED THU FRI SAT SUN
01/01/2025
to
05/01/2025
44337677802444
08/01/2025
to
12/01/2025
03263019193904
15/01/2025
to
19/01/2025
06694117342967
22/01/2025
to
26/01/2025
72370243609945
29/01/2025
to
02/02/2025
8587##39117533
05/02/2025
to
09/02/2025
29536394357517
12/02/2025
to
16/02/2025
62870412212475
19/02/2025
to
23/02/2025
891383##920995
26/02/2025
to
02/03/2025
0359##23630253
05/03/2025
to
09/03/2025
61899780414219
12/03/2025
to
16/03/2025
23549572629670
19/03/2025
to
23/03/2025
50379270106565
26/03/2025
to
30/03/2025
7316935572##22
02/04/2025
to
06/04/2025
09288167560636
09/04/2025
to
13/04/2025
25229383852577
16/04/2025
to
20/04/2025
30034309948537
23/04/2025
to
27/04/2025
89297661510563
30/04/2025
to
04/05/2025
##900645884027
07/05/2025
to
11/05/2025
52659757337933
14/05/2025
to
18/05/2025
27200988340382
21/05/2025
to
25/05/2025
10364861235116
28/05/2025
to
01/06/2025
999391##157160
04/06/2025
to
08/06/2025
74743050609695
11/06/2025
to
15/06/2025
26504031283931
18/06/2025
to
22/06/2025
63263208514290
25/06/2025
to
29/06/2025
6228475043##54
02/07/2025
to
06/07/2025
56273656713814
09/07/2025
to
13/07/2025
24418852681194
16/07/2025
to
20/07/2025
87998671909615
23/07/2025
to
27/07/2025
20642373202986
30/07/2025
to
03/08/2025
40##8898646182
06/08/2025
to
10/08/2025
89837998438981
13/08/2025
to
17/08/2025
18377129612820
20/08/2025
to
24/08/2025
77447051968159
27/08/2025
to
31/08/2025
15116990##4657
03/09/2025
to
07/09/2025
94526749145749
10/09/2025
to
14/09/2025
93348501670023
17/09/2025
to
21/09/2025
14146653973838
24/09/2025
to
28/09/2025
631364935210##
01/10/2025
to
05/10/2025
59584208398552
08/10/2025
to
12/10/2025
20860856549698
15/10/2025
to
19/10/2025
90980436918152
22/10/2025
to
26/10/2025
58679167655084
29/10/2025
to
02/11/2025
5059##89693520
05/11/2025
to
09/11/2025
920608##040251
12/11/2025
to
16/11/2025
37276049680261
19/11/2025
to
23/11/2025
20033530587960
26/11/2025
to
30/11/2025
23970679##6382
03/12/2025
to
07/12/2025
91987212##2591
10/12/2025
to
14/12/2025
07721185661964
17/12/2025
to
21/12/2025
19075349036569
24/12/2025
to
28/12/2025
22390862551357
31/12/2025
to
04/01/2026
##############

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.