Ghaziabad 2018 Chart

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Game
Result
Time

Disawar

86
25-09-2026
05:15 AM
Disawar
86
05:15 AM

Gali Disawar Mix

79
24-09-2026
08:15 PM
Gali Disawar Mix
79
08:15 PM

Delhi Bazar

27
24-09-2026
03:15 PM
Delhi Bazar
27
03:15 PM

Shri Ganesh

48
24-09-2026
04:45 PM
Shri Ganesh
48
04:45 PM

Faridabad

38
24-09-2026
06:17 PM
Faridabad
38
06:17 PM

Ghaziabad

32
24-09-2026
09:20 PM
Ghaziabad
32
09:20 PM

Gali

90
24-09-2026
11:58 PM
Gali
90
11:58 PM

Milan Day

668.0 1.470
24-09-2026
03:20 - 05:00 PM
Milan Day
668.0 1.470
03:20- 05:00

Kalyan

235.0 5.140
24-09-2026
04:10 - 06:10 PM
Kalyan
235.0 5.140
04:10- 06:10

Milan Night

280.0 4.130
24-09-2026
09:05 - 11:05 PM
Milan Night
280.0 4.130
09:05- 11:05

Kalyan Night

378.8 2.147
24-09-2026
09:35 - 11:35 PM
Kalyan Night
378.8 2.147
09:35- 11:35
Weekly Ghaziabad Results for 2018
Date MON TUE WED THU FRI SAT SUN
01/01/2018
to
07/01/2018		27625937339101
08/01/2018
to
14/01/2018		14057014144372
15/01/2018
to
21/01/2018		48947496553929
22/01/2018
to
28/01/2018		50425908228399
29/01/2018
to
04/02/2018		7787**30470341
05/02/2018
to
11/02/2018		48192875030371
12/02/2018
to
18/02/2018		23710270095177
19/02/2018
to
25/02/2018		27560808988646
26/02/2018
to
04/03/2018		7085**00869556
05/03/2018
to
11/03/2018		113515100498753
12/03/2018
to
18/03/2018		27459718838325
19/03/2018
to
25/03/2018		16166651515113
26/03/2018
to
01/04/2018		5246023110**16
02/04/2018
to
08/04/2018		912194811008323
09/04/2018
to
15/04/2018		23949286225823
16/04/2018
to
22/04/2018		761641959232**
23/04/2018
to
29/04/2018		28367952713293
30/04/2018
to
06/05/2018		**741420402048
07/05/2018
to
13/05/2018		54827004143056
14/05/2018
to
20/05/2018		22319113466664
21/05/2018
to
27/05/2018		34067699874980
28/05/2018
to
03/06/2018		857509**828324
04/06/2018
to
10/06/2018		11321217994299
11/06/2018
to
17/06/2018		39165180024706
18/06/2018
to
24/06/2018		88509674324087
25/06/2018
to
01/07/2018		4480806659**05
02/07/2018
to
08/07/2018		61018676594817
09/07/2018
to
15/07/2018		32815047204248
16/07/2018
to
22/07/2018		13040294176096
23/07/2018
to
29/07/2018		70538989319771
30/07/2018
to
05/08/2018		61**7929138970
06/08/2018
to
12/08/2018		05971076499578
13/08/2018
to
19/08/2018		52415488115396
20/08/2018
to
26/08/2018		73206022390644
27/08/2018
to
02/09/2018		72176867**7737
03/09/2018
to
09/09/2018		65095845518512
10/09/2018
to
16/09/2018		08104104479524
17/09/2018
to
23/09/2018		80216051018852
24/09/2018
to
30/09/2018		267144900046**
01/10/2018
to
07/10/2018		83520382947979
08/10/2018
to
14/10/2018		971003341609395
15/10/2018
to
21/10/2018		61559965888153
22/10/2018
to
28/10/2018		0856474231226
29/10/2018
to
04/11/2018		4294**09086340
05/11/2018
to
11/11/2018		62047316751996
12/11/2018
to
18/11/2018		51575121581194
19/11/2018
to
25/11/2018		31229611887594
26/11/2018
to
02/12/2018		68960882**3434
03/12/2018
to
09/12/2018		05217693294542
10/12/2018
to
16/12/2018		30151404092805
17/12/2018
to
23/12/2018		07541565672828
24/12/2018
to
30/12/2018		39096066567666
31/12/2018
to
06/01/2019		##############

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.