Disawar 2026 Chart

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Game
Result
Time

Disawar

97
14-10-2026
05:15 AM
Disawar
97
05:15 AM

Gali Disawar Mix

54
13-10-2026
08:15 PM
Gali Disawar Mix
54
08:15 PM

Delhi Bazar

12
14-10-2026
03:15 PM
Delhi Bazar
12
03:15 PM

Shri Ganesh

80
14-10-2026
04:45 PM
Shri Ganesh
80
04:45 PM

Faridabad

11
14-10-2026
06:17 PM
Faridabad
11
06:17 PM

Ghaziabad

58
13-10-2026
09:20 PM
Ghaziabad
58
09:20 PM

Gali

22
13-10-2026
11:58 PM
Gali
22
11:58 PM

Milan Day

278.7 3.580
14-10-2026
03:20 - 05:00 PM
Milan Day
278.7 3.580
03:20- 05:00

Kalyan

234.9
14-10-2026
04:10 - 06:10 PM
Kalyan
234.9
04:10- 06:10

Milan Night

170.8 9.379
13-10-2026
09:05 - 11:05 PM
Milan Night
170.8 9.379
09:05- 11:05

Kalyan Night

670.3 2.200
30-09-2026
09:35 - 11:35 PM
Kalyan Night
670.3 2.200
09:35- 11:35
Weekly Disawar Results for 2026
Date MON TUE WED THU FRI SAT SUN
01/01/2026
to
04/01/2026
##656344881861
08/01/2026
to
11/01/2026
06952405335105
15/01/2026
to
18/01/2026
56425497656802
22/01/2026
to
25/01/2026
82078136941089
29/01/2026
to
01/02/2026
515682##937894
05/02/2026
to
08/02/2026
18209931945399
12/02/2026
to
15/02/2026
83292854079733
19/02/2026
to
22/02/2026
63817895612768
26/02/2026
to
01/03/2026
575327##684919
05/03/2026
to
08/03/2026
54363845654909
12/03/2026
to
15/03/2026
25039539284782
19/03/2026
to
22/03/2026
50121670276613
26/03/2026
to
29/03/2026
922640932381##
02/04/2026
to
05/04/2026
81419771474405
09/04/2026
to
12/04/2026
67858592820049
16/04/2026
to
19/04/2026
93991593874162
23/04/2026
to
26/04/2026
44791188154456
30/04/2026
to
03/05/2026
56##7900270603
07/05/2026
to
10/05/2026
84061962100846
14/05/2026
to
17/05/2026
76747376883974
21/05/2026
to
24/05/2026
96711697730983
28/05/2026
to
31/05/2026
64537136##1148
04/06/2026
to
07/06/2026
47781028622665
11/06/2026
to
14/06/2026
31527140058603
18/06/2026
to
21/06/2026
43371356767097
25/06/2026
to
28/06/2026
468560175340##
02/07/2026
to
05/07/2026
24399123061953
09/07/2026
to
12/07/2026
02265326667316
16/07/2026
to
19/07/2026
28328516837305
23/07/2026
to
26/07/2026
20698965067516
30/07/2026
to
02/08/2026
6705##31743193
06/08/2026
to
09/08/2026
51839616648819
13/08/2026
to
16/08/2026
79124957402940
20/08/2026
to
23/08/2026
08180841163680
27/08/2026
to
30/08/2026
992731##90##69
03/09/2026
to
06/09/2026
57955978679254
10/09/2026
to
13/09/2026
93404602358931
17/09/2026
to
20/09/2026
90493532017335
24/09/2026
to
27/09/2026
26864881494325
01/10/2026
to
04/10/2026
##521815705923
08/10/2026
to
11/10/2026
90262227984097

Disawar Satta Chart: Early Morning Archive, Annual Records & Analytical Overview

Serving as the benchmark for early morning historical market tracking, the Disawar Chart holds a significant place in numerical archiving history. Positioned at the very beginning of the daily operational calendar, Disawar data provides the foundational baseline from which many day-long analytical models begin. Our dedicated Disawar portal hosts extensive month-by-month spreadsheets, historical multi-year satta chart records, and reliable sequence tables.

The longevity and stability of the Disawar ledger make it ideal for longitudinal academic and probability studies. By examining decades of consolidated figures, researchers can run algorithmic simulations, test standard distributions, and observe digit variance over extended periods. For cross-market studies featuring both morning and evening logs, visit the centralized Gali Disawar Mix hub to review comparative analytical charts.

Structure of the Disawar Archive

The Disawar ledger is designed for rapid accessibility and longitudinal review:

  • Day-Start Timestamps: Every entry reflects the initial scheduled outcome of the calendar date.
  • Standardized Double-Digit Notation: Consistent two-digit formatting for seamless parsing by data collection scripts and analytical spreadsheets.
  • Archival Durability: Comprehensive historic retention that avoids missing days or irregular gap sequences.

Analytical Methods Applied to Disawar Data

  • Unit vs. Tens Tracking: Dividing outcomes into their respective unit and tens places to check for skewed distributions toward odd or even digits.
  • Cyclical Weekday Evaluation: Analyzing whether specific weekdays (e.g., Wednesdays or Sundays) historically deviate from mean numerical averages.
  • Trailing Moving Averages: Calculating 7-day and 30-day moving averages of daily entries to determine prevailing directional patterns.