Ghaziabad 2022 Chart

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Game
Result
Time

Disawar

73
22-09-2026
05:15 AM
Disawar
73
05:15 AM

Gali Disawar Mix

45
22-09-2026
08:15 PM
Gali Disawar Mix
45
08:15 PM

Delhi Bazar

03
22-09-2026
03:15 PM
Delhi Bazar
03
03:15 PM

Shri Ganesh

98
22-09-2026
04:45 PM
Shri Ganesh
98
04:45 PM

Faridabad

42
22-09-2026
06:17 PM
Faridabad
42
06:17 PM

Ghaziabad

50
22-09-2026
09:20 PM
Ghaziabad
50
09:20 PM

Gali

Wait..
23-09-2026
11:58 PM
Gali
Wait..
11:58 PM

Milan Day

468.8 6.349
22-09-2026
03:20 - 05:00 PM
Milan Day
468.8 6.349
03:20- 05:00

Kalyan

169.6 5.140
22-09-2026
04:10 - 06:10 PM
Kalyan
169.6 5.140
04:10- 06:10

Milan Night

568.9 7.179
22-09-2026
09:05 - 11:05 PM
Milan Night
568.9 7.179
09:05- 11:05

Kalyan Night

227.1 3.580
22-09-2026
09:35 - 11:35 PM
Kalyan Night
227.1 3.580
09:35- 11:35
Weekly Ghaziabad Results for 2022
Date MON TUE WED THU FRI SAT SUN
01/01/2022
to
02/01/2022
##453988907940
08/01/2022
to
09/01/2022
80435878717651
15/01/2022
to
16/01/2022
40150234525774
22/01/2022
to
23/01/2022
94435064652925
29/01/2022
to
30/01/2022
9783##58334014
05/02/2022
to
06/02/2022
31374592320707
12/02/2022
to
13/02/2022
44790262244224
19/02/2022
to
20/02/2022
55956694266918
26/02/2022
to
27/02/2022
6614##01818591
05/03/2022
to
06/03/2022
49753155765086
12/03/2022
to
13/03/2022
38340150431252
19/03/2022
to
20/03/2022
43165333501437
26/03/2022
to
27/03/2022
5493751172##46
02/04/2022
to
03/04/2022
30334568161232
09/04/2022
to
10/04/2022
82928359849356
16/04/2022
to
17/04/2022
91836164535594
23/04/2022
to
24/04/2022
69882275989336
30/04/2022
to
01/05/2022
##513179780208
07/05/2022
to
08/05/2022
54209806026430
14/05/2022
to
15/05/2022
60483737429127
21/05/2022
to
22/05/2022
01743586366116
28/05/2022
to
29/05/2022
267817##613772
04/06/2022
to
05/06/2022
56819842886671
11/06/2022
to
12/06/2022
28175581068767
18/06/2022
to
19/06/2022
08926635665922
25/06/2022
to
26/06/2022
8412030765##92
02/07/2022
to
03/07/2022
89155275058260
09/07/2022
to
10/07/2022
88942471950148
16/07/2022
to
17/07/2022
05026960397992
23/07/2022
to
24/07/2022
10467782168314
30/07/2022
to
31/07/2022
80##5412285702
06/08/2022
to
07/08/2022
67902267350310
13/08/2022
to
14/08/2022
77434444221231
20/08/2022
to
21/08/2022
03315090219430
27/08/2022
to
28/08/2022
19584157##9330
03/09/2022
to
04/09/2022
30161546688374
10/09/2022
to
11/09/2022
64003366943634
17/09/2022
to
18/09/2022
55924516214454
24/09/2022
to
25/09/2022
711386808676##
01/10/2022
to
02/10/2022
71983800740051
08/10/2022
to
09/10/2022
95293427025613
15/10/2022
to
16/10/2022
70632051213620
22/10/2022
to
23/10/2022
59663200113271
29/10/2022
to
30/10/2022
7460##70830701
05/11/2022
to
06/11/2022
11519657266988
12/11/2022
to
13/11/2022
85212779258481
19/11/2022
to
20/11/2022
73995903637903
26/11/2022
to
27/11/2022
83654556##5829
03/12/2022
to
04/12/2022
##861172459417
10/12/2022
to
11/12/2022
962366,82359418
17/12/2022
to
18/12/2022
08775393090107
24/12/2022
to
25/12/2022
31350615058991
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.