GHAZIABAD - Monthly Record Chart 2019 wise

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DATE MON TUE WED THU FRI SAT SUN
01/01/19
TO
06/01/19
22491821837633
08/01/19
TO
13/01/19
79886236984126
15/01/19
TO
20/01/19
60162588671055
22/01/19
TO
27/01/19
32309791644072
29/01/19
TO
03/02/19
9159**15252427
05/02/19
TO
10/02/19
85934969212438
12/02/19
TO
17/02/19
54201092793279
19/02/19
TO
24/02/19
22876549380545
26/02/19
TO
03/03/19
0163**11306657
05/03/19
TO
10/03/19
26919244159882
12/03/19
TO
17/03/19
77387337324395
19/03/19
TO
24/03/19
70817857509113
26/03/19
TO
31/03/19
3452581039**95
02/04/19
TO
07/04/19
85136441769837
09/04/19
TO
14/04/19
51923871507346
16/04/19
TO
21/04/19
44475597115745
23/04/19
TO
28/04/19
07878343895541
30/04/19
TO
05/05/19
**311182570802
07/05/19
TO
12/05/19
66550475151774
14/05/19
TO
19/05/19
08970618874397
21/05/19
TO
26/05/19
27158247998495
28/05/19
TO
02/06/19
025632##062087
04/06/19
TO
09/06/19
15410972251119
11/06/19
TO
16/06/19
74443578595979
18/06/19
TO
23/06/19
14779020360482
25/06/19
TO
30/06/19
1816##########
02/07/19
TO
07/07/19
######68100265
09/07/19
TO
14/07/19
06688562167680
16/07/19
TO
21/07/19
03941030423541
23/07/19
TO
28/07/19
75108476829098
30/07/19
TO
04/08/19
54##8123714726
06/08/19
TO
11/08/19
41887115635543
13/08/19
TO
18/08/19
27823763592736
20/08/19
TO
25/08/19
19328996521135
27/08/19
TO
01/09/19
66024127##0875
03/09/19
TO
08/09/19
91880073565205
10/09/19
TO
15/09/19
69775664535804
17/09/19
TO
22/09/19
26203414037174
24/09/19
TO
29/09/19
067629898043##
01/10/19
TO
06/10/19
50997777R218748
08/10/19
TO
13/10/19
75747245535119
15/10/19
TO
20/10/19
63912897878351
22/10/19
TO
27/10/19
51137195573062
29/10/19
TO
03/11/19
6451##70211082
05/11/19
TO
10/11/19
44054514####64
12/11/19
TO
17/11/19
02492052697915
19/11/19
TO
24/11/19
92858967090078
26/11/19
TO
01/12/19
90734491##0866
03/12/19
TO
08/12/19
09309001046389
10/12/19
TO
15/12/19
44826230757088
17/12/19
TO
22/12/19
99497638858485
24/12/19
TO
29/12/19
24173157404937
31/12/19
TO
05/01/20
##############
📊 Weekly Ghaziabad Results for 2019

Ghaziabad Chart Record: Mid-Evening Declarations and Trend Analysis

The Ghaziabad market occupies a central position within the sequential evening lineup, falling directly between the early Faridabad release and the late-night Gali session. This timing makes the Ghaziabad chart a widely consulted reference for observers who track numerical progressions throughout the night. The chart logs every daily two-digit declaration, organizing them into monthly and yearly archives that provide a clear historical perspective.

Data integrity is the foundation of a dependable archive. Because numbers are released rapidly during peak evening traffic, informal aggregators frequently publish incorrect drafts. At Satta Matka Main, every entry is verified against official primary releases before being published to the permanent ledger. This ensures that researchers, analysts, and everyday readers have access to a clean, reliable, and error-free record.

Understanding the Structure and Elements of the Ghaziabad Table

The Ghaziabad chart is organized to present its two-digit values with maximum clarity:

  • Date-Indexed Entries: Every entry matches its corresponding calendar date, ensuring straightforward tracking across month ends and leap cycles.

  • Haruf Segmentation: The two-digit number can be separated into the left digit (tens place) and right digit (units place), enabling users to analyze positional trends over time.

  • Comparative Layout: The layout allows readers to scan down columns to evaluate day-to-day progression or scan across rows to compare trends across identical dates in prior months.

This straightforward format makes the table accessible to both seasoned researchers and newcomers reviewing past numbers.

The Utility of a Verified Ghaziabad History

Maintaining a permanent, structured archive offers several analytical advantages:

  1. Mid-Sequence Benchmarking: Observers often compare Ghaziabad outcomes against preceding Faridabad and subsequent Gali results to evaluate inter-market independence.

  2. Dormancy and Recurrence Tracking: Analysts can calculate the exact number of days a specific two-digit combination has remained absent from the board.

  3. Statistical Parity Checks: Reviewers frequently study the balance of odd, even, high (50-99), and low (00-49) numbers over quarterly spans to measure variance against theoretical probability.

The table is lightweight and uncluttered, delivering historical data clearly and efficiently.