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Date:
ac-superfast superfast

Chandrapur to Makrana Jn trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % SL %
ANUVRAT SF EXP
22631
10:32
CD
10:57
MKN
24:25 - - - - F - - Status
% Status
% Status
% - -
MQ BGKT SF EXP
22674
10:32
CD
10:57
MKN
24:25 - T - - - - - - - Status
% Status
% Status
%
Interesting facts about Chandrapur to Makrana Jn trains

2 trains run from Chandrapur to Makrana Jn , including 1 superfast trains.
The fastest train from Chandrapur to Makrana Jn is 22631 ANUVRAT SF EXP which travels a distance of 1409 kms in just 24 hours and 25 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 Chandrapur to Makrana Jn is Rs 4000 in First AC (1A), Rs 2360 in Second AC (2A), Rs 1650 in Third AC (3A) and Rs 630 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2885 in Second AC (2A), Rs 2070 in Third AC (3A) and Rs 805 in Sleeper (SL).
Important railway stations in this route are Ongole, Warangal, Nagpur, Itarsi Jn, Bhopal Jn, Ujjain Jn, Nagda Jn, Kota Jn, Sawai Madhopur and Jaipur.
Chandrapur has 1 stations namely Chandrapur while Makrana Jn has 1 stations namely Makrana Jn.
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.