LPUNEST - Rank Predictor
Lovely Professional University National Entrance and Scholarship Test
Online Mode
* The Rank Prediction for LPUNEST - 2020 will show your possible or probable rank for LPUNEST in view of the given sources of info. It must be noted that the rank is demonstrative and indicative only, whereas original rank announced by the exam conducting body of LPUNEST May totally differ from rank predicted here.
LPU NEST Rank Predictor 2023: How to Predict Your Rank?, Marks vs rank
Updated On - April 14 2023 by Abhinandan Singh
LPUNEST 2023 Rank Predictor is an innovative tool that will help to predict the candidate's possible score. It will give an idea of the probable score of LPUNEST 2023 percentile of all the candidates who have appeared. Rank predictor helps to predict the candidate's rank of this year using the previous year's data and trends. The rank predictor will predict a candidate’s rank even before the result is announced for LPUNEST 2023 by LPU. Through LPUNEST rank predictor 2023 candidates will be able to predict their rank vs marks and see which university and specialization candidate can get admission in. Read the complete article below to know more about LPUNEST 2023 Rank Predictor.
Application Link: Lovely Professional University has released the application form for various UG and PG courses, find the official website here.
Factors depending for LPUNEST 2023 Rank Prediction
Candidates can predict their rank based on the following factors:
Specifics | Parameters |
|---|---|
Types of questions | Multiple-choice questions |
Total no.of questions | 110 |
Maximum marks | 120 marks (per subject) |
Marking scheme | +4 will be awarded for every correct answer and there is no negative marking |
Total no.of candidates appearing | 70,000 (approx) |
LPUNEST 2023 Rank Predictor: Step by Step Usage
Test takers can follow the below steps to know their predictable score: How to predict rank for LPUNEST 2023.
- Visit LPUNEST 2023 Rank predictor
- Mention all the details in the page to carry forward with the process
- Next, mention expected marks as per the exam attempted
- Hit on, “Predicted Rank”
- The candidate's predicted score will be displayed on the score along with the name
Details to be filled in LPUNEST 2023 Rank Predictor
Following are the details candidate's needs to fill while predicting their rank:
- Name
- Registrational Number
- Expected Percentile
Advantages for LPUNEST 2023 Rank Predictor
Candidates after attempting the examination of LPUNEST 2023 they would be eager to know the result what rank they would secure in the examination. So the following points are:
- By using Entrancezone's rank predictor test-takers would be able to know his/her probable score even before the result is declared.
- Through the score, they would be able to know they would be under which specialty they can opt for.
- LPUNEST 2023 rank predictor will be helpful for all the students to know their probable rank.
LPUNEST 2023 Cutoff
LPU will release LPUNEST 2023 cut-off marks which are the minimum cut-off marks to be obtained by the candidates to qualify in the Lovely Professional University National Entrance and Scholarship Test 2023. LPU NEST puts out its cut off list based on various criteria like:
- Minimum marks secured in the examination.
- It depends upon the candidate's marks, availability of seats
- After, the declaration of result, LPU will release the cut off to make candidates aware of the minimum marks required to be eligible
- Scholarships will also be given to those who scored more than or equal to the marks of the cutoff.
- Shortlisted candidates who meet the cut-off marks will be called for counselling/seat allocation process.
About LPU NEST
LPU NEST is an entrance exam conducted for admission in undergraduate and postgraduate courses. LPU NEST 2023 will be held online conducted across the country for more than 70 cities.
Form Start Date:
01 Nov 2022
Form End Date:
31 Mar 2023
The last date to submit the form was on 31 Mar 2023
Browse Other ExamsExamination Date (Online):
01 Feb - 30 Apr 2023
Application Fees:
₹ 1,500
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