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Date:
express

Ayodhya to Mathura Jn trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL % 2S %
PNBE KOTA EXP
13237
19:48
AY
06:40
MTJ
10:52 - T - - - S S Status
% Status
% Status
% Status
% Status
% - -
KAVI GURU EXP
19616
23:30
AY
10:40
MTJ
11:10 - - - - F - - - - Status
% Status
% Status
% Status
% - -
Guwahati Shri Ganganagar Special Fare Special
05636
23:35
AY
10:50
MTJ
11:15 - - - T - - - - - Status
% Status
% - - Status
% Status
%
Interesting facts about Ayodhya to Mathura Jn trains

3 trains run from Ayodhya to Mathura Jn .
The fastest train from Ayodhya to Mathura Jn is 13237 PNBE KOTA EXP which travels a distance of 538 kms in just 10 hours and 52 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 Ayodhya to Mathura Jn is Rs 2050 in First AC (1A) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from .
Important railway stations in this route are Ayodhya Cantt, Lucknow, Kanpur Central, Kanpur Anwarganj, Kannauj, Gursahaiganj, Farrukhabad, Kasganj and Hathras City.
Ayodhya has 1 stations namely Ayodhya while Mathura Jn has 1 stations namely Mathura 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.