FARIDABAD - Monthly Record Chart 2019 wise

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DATE MON TUE WED THU FRI SAT SUN
01/01/19
TO
06/01/19
07548848631589
08/01/19
TO
13/01/19
77556874396631
15/01/19
TO
20/01/19
16333703872668
22/01/19
TO
27/01/19
12916314039092
29/01/19
TO
03/02/19
5219**41550688
05/02/19
TO
10/02/19
19972018260054
12/02/19
TO
17/02/19
89059208381560
19/02/19
TO
24/02/19
93765279373367
26/02/19
TO
03/03/19
2215**27494026
05/03/19
TO
10/03/19
96865495249138
12/03/19
TO
17/03/19
15468898194802
19/03/19
TO
24/03/19
26188981141472
26/03/19
TO
31/03/19
0842515779**71
02/04/19
TO
07/04/19
67107685306957
09/04/19
TO
14/04/19
91730723200317
16/04/19
TO
21/04/19
05251913295976
23/04/19
TO
28/04/19
47018324859350
30/04/19
TO
05/05/19
**4192618006.48
07/05/19
TO
12/05/19
44717277406968
14/05/19
TO
19/05/19
92341861348275
21/05/19
TO
26/05/19
01012284466704
28/05/19
TO
02/06/19
993473##303230
04/06/19
TO
09/06/19
29183519953432
11/06/19
TO
16/06/19
79274968702710
18/06/19
TO
23/06/19
35693507004088
25/06/19
TO
30/06/19
4561##########
02/07/19
TO
07/07/19
##22##59383987
09/07/19
TO
14/07/19
81976530219826
16/07/19
TO
21/07/19
06780664131442
23/07/19
TO
28/07/19
71909518674214
30/07/19
TO
04/08/19
50##3784450677
06/08/19
TO
11/08/19
99384195623137
13/08/19
TO
18/08/19
80647440987925
20/08/19
TO
25/08/19
68654842547759
27/08/19
TO
01/09/19
04450835##2577
03/09/19
TO
08/09/19
08609993577325
10/09/19
TO
15/09/19
47215215042515
17/09/19
TO
22/09/19
48303488107418
24/09/19
TO
29/09/19
815094921272##
01/10/19
TO
06/10/19
92875244136694
08/10/19
TO
13/10/19
13921384045320
15/10/19
TO
20/10/19
66747174479961
22/10/19
TO
27/10/19
89605487701120
29/10/19
TO
03/11/19
8472##21047275
05/11/19
TO
10/11/19
16675862####15
12/11/19
TO
17/11/19
44855288095244
19/11/19
TO
24/11/19
42197327796753
26/11/19
TO
01/12/19
70051918##4382
03/12/19
TO
08/12/19
94841064092109
10/12/19
TO
15/12/19
23637117420270
17/12/19
TO
22/12/19
76786190410063
24/12/19
TO
29/12/19
05815758752108
31/12/19
TO
05/01/20
##############
📊 Weekly Faridabad Results for 2019

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.