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Date:
express superfast

Mandi Bamora to Satna trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
REWANCHAL EXP
12185
00:02
MABA
06:30
STA
06:28 M T W T F S S Status
% Status
% Status
% Status
% Status
%
DADN REWA SPL
11704
03:50
MABA
10:05
STA
06:15 - T - T - S - Status
% Status
% Status
% Status
% Status
%
Interesting facts about Mandi Bamora to Satna trains

2 trains run from Mandi Bamora to Satna , including 1 superfast trains.
The fastest train from Mandi Bamora to Satna is 11704 DADN REWA SPL which travels a distance of 378 kms in just 6 hours and 15 minutes.
The most punctual train in this route is which reaches with an average delay of just NA.
The least punctual train in this route is which reaches with an average delay of NA.
The minimum fare for trains from Mandi Bamora to Satna is Rs 1525 in First AC (1A), Rs 915 in Second AC (2A), Rs 645 in Third AC (3A) and Rs 240 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1540 in Second AC (2A), Rs 1105 in Third AC (3A) and Rs 395 in Sleeper (SL).
Important railway stations in this route are Bina Jn, Khurai, Saugor, Patharia, Damoh, Bandakpur, Katni Murwara, Jukehi and Maihar.
Mandi Bamora has 1 stations namely Mandi Bamora while Satna has 1 stations namely Satna.
Note:
  • Colored clock icon under Dep and Arr column signify punctuality of the train based on average delay over last 7 days.
        - Average delay is more than 2 hours.     - Average delay is less than 2 hours.
  • RAC is considered as confirmed for evaluating confirmation chances.
  • Colors under confirmation chances mean following:
       Red - Not likely to confirm.    yellow - Difficult to say if this will confirm or not.    Green - Very likely to confirm.
  • Seat availability and berth status functionality may not be available between 11:30 pm and 12:30 am.
  • Disclaimer - Trainman is in no way affiliated to Indian Railways, therefore some times, the information shown may not be accurate. Trainman also does not claim 100% accuracy on any prediction done for waitlisted tickets.