MILAN NIGHT - Monthly Record Chart 2016 wise

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📅 SELECT RECORD YEAR

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DATE MON TUE WED THU FRI SAT SUN
01/01/16
TO
03/01/16		127-03-599146-17-340##688-21-380149-40-460270-90-299256-35-159
08/01/16
TO
10/01/16		460-01-236248-44-239##338-44-347268-88-468156-29-225***-**-***
15/01/16
TO
17/01/16		568-91-146230-59-450##339-50-145114-60-578190-09-450278-74-347
22/01/16
TO
24/01/16		156-24-149170-80-677456-51-399***-**-***127-06-178567-81-236400-42-660
29/01/16
TO
31/01/16		##356-42-570300-30-370180-94-239117-91-155249-53-238147-21-128
05/02/16
TO
07/02/16		##490-34-248145-01-146146-13-490668-04-130770-47-467690-50-190
12/02/16
TO
14/02/16		##479-08-279569-03-599900-93-580599-39-180279-88-189899-64-130
19/02/16
TO
21/02/16		######700-79-234489-14-347248-45-348146-18-350
26/02/16
TO
28/02/16		116-83-445559-93-670##348-57-278690-54-356367-64-158148-35-168
04/03/16
TO
06/03/16		245-15-140260-89-270##778-24-446258-51-489267-51-470346-33-256
11/03/16
TO
13/03/16		350-86-556120-33-490##112-48-170360-99-379688-27-269489-11-245
18/03/16
TO
20/03/16		448-62-345126-95-780##480-24-167577-98-125115-75-357***-**-***
25/03/16
TO
27/03/16		178-67-368270-98-468##570-26-169558-81-470570-25-169399-12-390
01/04/16
TO
03/04/16		347-42-499237-26-367##339-55-113350-80-334167-43-238166-34-680
08/04/16
TO
10/04/16		290-19-478110-26-457##127-07-115279-88-990599-36-150245-11-128
15/04/16
TO
17/04/16		590-49-135127-02-345##160-72-156350-80-569225-90-370480-21-344
22/04/16
TO
24/04/16		128-11-579378-81-470##155-14-356680-43-670127-03-166900-96-268
29/04/16
TO
01/05/16		144-97-368110-24-257##359-79-469450-96-358360-91-399789-49-126
06/05/16
TO
08/05/16		345-27-223579-16-150##790-60-488347-44-400299-07-278458-75-168
13/05/16
TO
15/05/16		236-19-478467-72-129##788-39-450246-21-155588-15-339339-58-170
20/05/16
TO
22/05/16		380-17-467470-17-179##690-57-557780-53-689266-42-246124-79-469
27/05/16
TO
29/05/16		122-59-379130-46-150##468-88-477179-71-669157-38-378445-33-689
03/06/16
TO
05/06/16		399-18-378778-27-467##360-94-400139-30-370127-09-450557-76-240
10/06/16
TO
12/06/16		230-55-690260-85-249##357-58-279690-51-236269-75-258667-92-345
17/06/16
TO
19/06/16		899-60-127389-04-239##900-92-589260-81-380233-89-568249-53-157
24/06/16
TO
26/06/16		247-31-146140-56-367##780-52-589336-20-334778-21-489355-37-223
01/07/16
TO
03/07/16		489-11-119280-04-590##246-22-156800-83-300278-72-570***-*-***
08/07/16
TO
10/07/16		679-26-240558-80-136##590-41-588568-96-457778-25-348348-54-149
15/07/16
TO
17/07/16		129-20-145168-52-246##128-11-128336-20-226247-34-167334-09-478
22/07/16
TO
24/07/16		400-43-689170-89-360##117-91-155170-84-680560-13-346370-00-479
29/07/16
TO
31/07/16		668-02-480589-29-234##455-41-560458-74-149258-55-177599-38-468
05/08/16
TO
07/08/16		337-35-140139-36-123##278-73-599259-60-235480-21-380667-91-128
12/08/16
TO
14/08/16		130-48-170679-20-136##***-**-***457-65-140259-65-140***-**-***
19/08/16
TO
21/08/16		166-39-135478-92-156##128-15-122339-53-346255-26-457479-06-457
26/08/16
TO
28/08/16		166-32-688126-95-889##230-53-120146-19-478178-65-249790-68-369
02/09/16
TO
04/09/16		390-26-367479-06-349##557-75-780***-**-***125-85-500260-82-390
09/09/16
TO
11/09/16		890-78-116577-93-689##256-36-600790-68-233116-81-236399-19-360
16/09/16
TO
18/09/16		490-39-270380-14-680##270-98-558680-41-236245-14-239367-65-780
23/09/16
TO
25/09/16		190-06-259477-85-258##125-88-189789-40-136179-76-349134-88-378
30/09/16
TO
02/10/16		169-65-159129-21-137##234-98-134579-11-560356-40-190145-04-356
07/10/16
TO
09/10/16		188-79-117224-81-489##460-07-467134-81-399129-28-134127-09-234
14/10/16
TO
16/10/16		190-01-470289-92-237##########
21/10/16
TO
23/10/16		##############
28/10/16
TO
30/10/16		##############
04/11/16
TO
06/11/16		##############
11/11/16
TO
13/11/16		##############
18/11/16
TO
20/11/16		##############
25/11/16
TO
27/11/16		##############
02/12/16
TO
04/12/16		##############
09/12/16
TO
11/12/16		##############
16/12/16
TO
18/12/16		##############
23/12/16
TO
25/12/16		##############
30/12/16
TO
01/01/17		##############
📊 Weekly Milan Night Results for 2016

Milan Night Chart: Evening Panel Records and Comprehensive Analysis

Operating during the evening and late-night cycle, Milan Night is a prominent fixture for those who follow post-business-hour markets. Similar to its daytime counterpart, Milan Night operates on a complete panel structure involving an open patti, a close patti, and an overarching two-digit jodi. The Milan Night chart brings these elements together into an easy-to-read chronological ledger that records every development of the nightly draw.

Accuracy during nighttime hours is vital, as late sessions can often lead to unverified or speculative numbers appearing on informal message boards. By relying on Satta Matka Main, readers obtain directly cross-checked, authentic records that mirror official declarations. The table updates incrementally—first registering the open panel and subsequent single digit, then finalizing the complete entry once the closing panel is announced.

Structure and Reading Guide for Milan Night Records

To read the Milan Night panel chart effectively, observers look at several key data fields within each date row:

  • Opening Patti: The three digits recorded during the first night session, formatted in ascending numerical order.

  • Opening Single (Ank): Derived from adding the three digits of the open panel and taking the last digit of that sum.

  • Closing Patti: The three digits announced during the late-night closing phase.

  • Closing Single (Ank): Derived from the sum of the closing panel's three digits.

  • Center Jodi: The combination of the opening single and closing single, yielding the primary two-digit result.

This structured presentation allows users to examine both the granular panel elements and the broad two-digit outcomes within a single, unified view.

Practical Applications of the Milan Night Archive

A comprehensive night-session archive provides valuable utility for analytical hobbyists:

  1. Night vs. Day Pattern Comparison: Observers often compare Milan Night records against Milan Day results from the same date to see if digit frequencies mirror one another or operate with complete independence.

  2. Patti Family Tracking: By grouping panels into standard mathematical families (such as single patti, double patti, or triple patti), analysts can measure the real-world occurrence rate of each type.

  3. Historical Trend Review: Access to chronological tables enables researchers to trace numbers across quarters and examine multi-month dispersion patterns.

The responsive table ensures that this data remains accessible at any time without unnecessary page bloat.