×
Trainman AppGet the mobile app
      Indian Rail Predictions
Please refresh your page after installing the extension.
For using trainman further, please install chrome extension for it to work effectively
Date:
passenger express

Gubbi to Kyatsandra trains

<     >
Train Dep Arr Travel M T W T F S S 3A % SL %
UBL SBC EXP
17392
01:16
GBB
01:42
KIAT 		00:26 M T W T F S S - - Status
%
SNNR YPR EXP
16546
06:07
GBB
06:32
KIAT 		00:25 M T W T F S S Status
% Status
%
HPT SBC PAS
56520
20:01
GBB
20:26
KIAT 		00:25 M T W T F S S - - Status
%
Interesting facts about Gubbi to Kyatsandra trains

3 trains run from Gubbi to Kyatsandra .
The fastest train from Gubbi to Kyatsandra is 16546 SNNR YPR EXP which travels a distance of 23 kms in just 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 Gubbi to Kyatsandra is Rs 495 in Third AC (3A) and Rs 100 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1105 in Third AC (3A) and Rs 295 in Sleeper (SL).
Important railway stations in this route are Tumkur.
Gubbi has 1 stations namely Gubbi while Kyatsandra has 1 stations namely Kyatsandra.
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.