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Monday, 3 October 2016

Predict Confirmation of Waiting List Ticket PNR

Confusion on Waiting Ticket ? Predict Waiting Status PNR to know it get confirm or not.


IRCTC now offers several different types of waiting list on train ticket such as GNWL, RLWL, PQWL. A normal passenger can not predict whether a ticket would confirm or not. We also suggest this problem of every Indian Railways Traveller. So, here are the Top ways to predict confirmation  of waiting list ticket.

With PNR: You can predict using PNR
Without PNR: if you want to predict before booking a ticket than you can also predict by entering train details.

Prediction of IRCTC Waiting list tickets Best Ways


Method 1:

Using TrainMan Prediction 


This method is the best Way to check prediction of waiting list ticket with PNR and even without PNR before booking the ticket. 

Trainman is regarded as the most accurate way of predicting whether a ticket will confirm or not.

How Accurate Trainman's guess is ?

It is found in several tests by Trip Colors team that if the Confirmation chances are above 75℅ then it should get confirm and if these chances are above 90℅ then it must got confirmed.

Trainman users Historic trends which makes it even better !

Trainman Website provide prediction but it also require a small size plugin to work.
Trainman also offers TrainMan App which also provide notifications once ticket got confirm.

Visit Trainman offical website: www.trainman.in



Method 2:


Using Confirmtkt Prediction

Confirmtkt is also a similar website that offers same feature but unlike Trainman it does not work on Historic Trends.

This website offers a clean user experience but not very much accuracy.

How Accurate Confirmtkt is ?

Sometimes above 50-60℅ got confirmed whereas sometimes even 78℅ cannot. So it is very difficult to known how much accurate confirmtkt's prediction is ?

Visit Confirmtkt offical website: confirmtkt.com



Method 3:

Understanding waiting mechanism and then Self Prediction




  1. GNWL - General Waiting List : A Ticket with a GNWL is issued when the Source station of the passenger is the Source station of the train or one of the stations near to it. This quota has the highest number of seats in any given train and has the highest probablity of getting confirmed at the time of final charting.
  2. PQWL Pooled Quota Waiting List - Most trains has a defined pooled quota which is used if you start from the Source station of the train but terminate at some station before the Destination of the train. This has fewer seats as compared to GNWL, thus a lesser probability for cofirmation.

Apart from these 2, there a couple of more quotas that are frequently used :

1. RLWL Remote Location Waiting List : Most trains have important stations marked as Remote Locations in the route, which mark the beginning of the RLWL quotas in the train. Hence, every train consists of a number of Remote Location Quotas, each with a fixed number of seats reserved. When the Source station of the passenger is one of these marked stations, or some stations after that, the RLWL quota is applicable on the reservations. Even this quota has a fewer number of seats as compared to GNWL.

2. CKWL Tatkal Wating List (I wonder why it's CK, I'd be glad if anyone could help me out in telling why it's so). Most trains have a Tatkal Quota reserved to be booked one day in advance. Hence, the Waiting List is of the type CKWL, irrespective of your Source and Destination Stations.

How to predict using this Information ?

The chances of confirmation depend heavily on the number of seats in that particular quota. Hence, it is very much possible that a ticket with RLWL 20 doesn't get confirmed, whereas GNWL 200 gets confirmed in the same train (Note : They would have different source stations, hence the different Quota applicable)

Waiting list information source: quora.com

Thanks for reading !
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Any doubt, suggestion or problem comment below we are ready to help !




1 comment:

  1. Great!!
    This posts helped me alot.
    Explained in such a detailed way....

    ReplyDelete

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