FARIDABAD - Monthly Record Chart 2016 wise

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DATE MON TUE WED THU FRI SAT SUN
01/01/16
TO
03/01/16
14518810571511
08/01/16
TO
10/01/16
78147287899657
15/01/16
TO
17/01/16
95848152892665
22/01/16
TO
24/01/16
62765168569318
29/01/16
TO
31/01/16
9506**88484740
05/02/16
TO
07/02/16
01179930832234
12/02/16
TO
14/02/16
63280630079007
19/02/16
TO
21/02/16
68301802378896
26/02/16
TO
28/02/16
203765**457111
04/03/16
TO
06/03/16
60209378128583
11/03/16
TO
13/03/16
95839135601424
18/03/16
TO
20/03/16
112310071351165
25/03/16
TO
27/03/16
148965628368**
01/04/16
TO
03/04/16
39212026723391
08/04/16
TO
10/04/16
44958141442447
15/04/16
TO
17/04/16
61281671285760
22/04/16
TO
24/04/16
45241328845499
29/04/16
TO
01/05/16
70**1155689961
06/05/16
TO
08/05/16
76056808741650
13/05/16
TO
15/05/16
12417954677322
20/05/16
TO
22/05/16
87680550509870
27/05/16
TO
29/05/16
51544408**2214
03/06/16
TO
05/06/16
14734371169325
10/06/16
TO
12/06/16
85198060716465
17/06/16
TO
19/06/16
80635293885294
24/06/16
TO
26/06/16
107027586469**
01/07/16
TO
03/07/16
93939185139453
08/07/16
TO
10/07/16
57985300971779
15/07/16
TO
17/07/16
87534956772848
22/07/16
TO
24/07/16
14686794559119
29/07/16
TO
31/07/16
9720**10182070
05/08/16
TO
07/08/16
42984224047977
12/08/16
TO
14/08/16
24256211060608
19/08/16
TO
21/08/16
03432811045217
26/08/16
TO
28/08/16
0586437580**72
02/09/16
TO
04/09/16
06648717465213
09/09/16
TO
11/09/16
351810095706903
16/09/16
TO
18/09/16
24378571619084
23/09/16
TO
25/09/16
09886388159170
30/09/16
TO
02/10/16
**784004063659
07/10/16
TO
09/10/16
37725701342094
14/10/16
TO
16/10/16
29843820042923
21/10/16
TO
23/10/16
90318061241897
28/10/16
TO
30/10/16
353474**615682
04/11/16
TO
06/11/16
53594072390883
11/11/16
TO
13/11/16
13887757557175
18/11/16
TO
20/11/16
91724175576732
25/11/16
TO
27/11/16
9782131179**75
02/12/16
TO
04/12/16
59970993226051
09/12/16
TO
11/12/16
86635346156348
16/12/16
TO
18/12/16
55854647511019
23/12/16
TO
25/12/16
81614017300518
30/12/16
TO
01/01/17
85**##########
📊 Weekly Faridabad Results for 2016

Faridabad Satta Chart: Evening Market Declarations and Historical Tracking

The Faridabad market is one of the earliest evening fixtures in the regional northern market circuit. Bridging the gap between afternoon events and late-night sessions, its daily declaration serves as an important benchmark for observers following the evening progression. The Faridabad chart records these daily two-digit results chronologically, compiling them into clean, structured tables that allow for comprehensive historical review.

Maintaining an accurate record requires prompt, dependable updates. With evening declarations drawing substantial traffic across online informational hubs, errors in initial reporting can easily create confusion. The archive hosted at Satta Matka Main eliminates this concern by cross-referencing all reported figures before committing them to the permanent record. This dedication to clean data makes the page a reliable resource for anyone tracking daily outcomes.

Analytical Framework of the Faridabad Table

Because the Faridabad market operates on a straightforward two-digit system without separate panel phases, reading the table is simple and direct:

  • Two-Digit Representation: Each calendar day is assigned a single number between 00 and 99.

  • Positional Split (Haruf): Analysts frequently segment the two-digit output into its tens unit (Andar) and units unit (Bahar) to monitor single-digit frequency over 30-day windows.

  • Sequential Timeline: Results are displayed in continuous vertical and weekly grids, providing an uninterrupted view of month-to-month transitions.

This streamlined layout makes it easy to identify long-term patterns, observe recurring pairs, and assess gaps between specific numbers.

Value of the Faridabad Archive for Numerical Studies

Keeping an organized, long-term archive provides several distinct benefits for analytical evaluation:

  1. Early Evening Baseline: Because Faridabad is declared before markets like Ghaziabad and Gali, analysts frequently use its outcome as a baseline to study correlation theories across the evening sequence.

  2. Frequency Distribution: Researchers can compile monthly tallies to evaluate whether numbers fall evenly across all ten decades or show short-term clustering in specific ranges.

  3. Verification of Past Outliers: The historical table provides an authoritative reference to verify contested numbers from earlier dates.

The page is designed for quick navigation, ensuring readers can easily locate specific historical dates.