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Date:
superfast express

Tilda to Ambala trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
DURG MCTM SF
20847
12:13
TLD
10:45
UMB
22:32 - - W - - - - Status
% Status
% Status
% Status
% Status
%
CHATTISGARH EXP
18237
15:25
TLD
01:35
UMB
34:10 M T W T F S S Status
% Status
% Status
% Status
% Status
%
Interesting facts about Tilda to Ambala trains

2 trains run from Tilda to Ambala , including 1 superfast trains.
The fastest train from Tilda to Ambala is 20847 DURG MCTM SF which travels a distance of 1405 kms in just 22 hours and 32 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 Tilda to Ambala is Rs 3925 in First AC (1A), Rs 2315 in Second AC (2A), Rs 1600 in Third AC (3A) and Rs 600 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2840 in Second AC (2A), Rs 2020 in Third AC (3A) and Rs 775 in Sleeper (SL).
Important railway stations in this route are Bhatapara, Pendra Road, Anuppur Jn, Shahdol, Damoh, Saugor, Gwalior Jn, Agra Cantt, New Delhi and Panipat Jn.
Tilda has 1 stations namely Tilda while Ambala has 1 stations namely Ambala Cant 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.