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Date:
express superfast

Badnera Jn to Kesinga trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % SL %
ADI PURI SF EXP
12844
07:55
BD
20:05
KSNG
12:10 M T - - F - S - - Status
% Status
% Status
%
GIMB PURI SUP
22973
07:55
BD
20:05
KSNG
12:10 - - - T - - - - - Status
% Status
% Status
%
LTT VSKP EXPRESS
22848
10:20
BD
22:23
KSNG
12:03 - T - - - - - - - Status
% Status
% Status
%
UDN KUR SPL
09059
21:45
BD
11:25
KSNG
13:40 - - W - - - - Status
% Status
% Status
% Status
%
Interesting facts about Badnera Jn to Kesinga trains

4 trains run from Badnera Jn to Kesinga , including 3 superfast trains.
The fastest train from Badnera Jn to Kesinga is 22848 LTT VSKP EXPRESS which travels a distance of 692 kms in just 12 hours and 3 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 Badnera Jn to Kesinga is in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from .
Important railway stations in this route are Nadiad Jn, Bhusaval Jn, Ahmedabad Jn, Bharuch Jn, Akola Jn, Nagpur, Gondia Jn, Durg, Raipur Jn and Brahmapur.
Badnera Jn has 1 stations namely Badnera Jn while Kesinga has 1 stations namely Kesinga.
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.