Updated By Sudeshna chakrabarti on 09 Oct, 2024 11:38
Predict your Percentile based on your CUET PG performance
Predict NowCUET PG Marks vs Percentile: CUET PG is an important exam for students seeking admission to postgraduate programs. Your performance in this exam is evaluated using two major components: the raw score and the percentile. Each year, the CUET PG scorecard is released on the official NTA website, showing both your marks and percentile. The CUET PG 2025 marks represent your actual score in the exam, while the percentile indicates how you performed in comparison to other test-takers. Candidates can check here for the definition of both terms, how to calculate, and the CUET PG Marks vs Percentile conversion table!
CUET marks refer to the actual score you achieve in the CUET exam, based on your performance in each subject. On the other hand, CUET percentile is calculated using your raw scores and indicates how well you performed compared to other candidates.
The percentile is determined by dividing the number of candidates who scored equal to or below a specific score by the total number of test-takers. Percentile is usually seen as a more accurate reflection of performance because it considers both the exam's difficulty and the number of candidates who appeared for the test.
Parameters | CUET Marks | CUET Percentile |
|---|---|---|
Definition | The raw scores obtained by candidates in each subject | A score indicating how well a candidate performed compared to others |
Calculation Method | Add up points for correct answers and subtract points for incorrect ones | (Number of candidates scoring equal to or less than your score / Total candidates) x 100 |
What It Shows | Absolute performance in each subject | Relative performance compared to all test takers |
Usage | Determines eligibility for college admissions | Ranks candidates for admission based on their performance |
Percentile scores reflect how a candidate performs compared to others who appeared for the exam. The marks are converted to a scale from 0 to 100 for each exam session. A candidate’s percentile score shows the percentage of candidates who scored equal to or less than that candidate. For example, the highest scorer in each session will always have a percentile of 100.
Marks between the highest and lowest scores are also converted into percentiles. These percentile scores, instead of raw marks, are used for preparing merit lists. To reduce ties, percentile scores are calculated up to seven decimal places.
The percentile score is calculated using this formula:
Percentile = 100 × (Number of candidates with equal or lower raw scores than the candidate / Total number of candidates in the session)
It's important to note that the overall percentile is not an average of individual subject percentiles, and it differs from the percentage of marks obtained.
The table below shows the expected percentile for different CUET marks ranges. It provides a simple way to understand how your marks translate to percentile:
CUET PG Total Marks | CUET PG Expected Percentile |
|---|---|
270 - 300 | 100 |
230 - 270 | 88 - 99 |
170 - 220 | 66 - 77 |
100 - 169 | 55 - 65 |
50 - 99 | 30 - 40 |
< 50 | < 25 |
The CUET PG exam is conducted by NTA across multiple dates, typically in two sessions per day. Since candidates receive different sets of questions in each session, it's possible that the difficulty level may vary between sessions, despite efforts to maintain uniformity. As a result, some candidates might face tougher questions compared to others. To ensure fairness, NTA uses a "Normalization procedure based on Percentile Score" to balance the difficulty level and ensure that no candidate is at an advantage or disadvantage.
The normalization process is a well-established method used in various large exams in India to compare scores across multiple sessions. This ensures a level playing field, accurately reflecting each candidate’s merit.
Step 1: Distribution of Examinees in Two Shifts
Candidates are randomly assigned to two sessions to ensure that each session has a similar number of candidates. For example, Session-1 refers to Day-1 Shift-1, and Session-2 refers to Day-1 Shift-2. If the exam is conducted over more days or fewer shifts, candidates will be distributed accordingly, minimizing any potential bias in the examination process.
Step 2: Preparation of Results for Each Session
For each session, the results are prepared by calculating both the raw scores and percentile scores. The percentile score for each candidate is calculated using the following formula:
Percentile Score = 100 x (Number of candidates with raw scores equal to or less than the candidate’s raw score) / (Total number of candidates in the session).
Step 3: Compilation of NTA Scores and Final Result
The percentile scores from all sessions (e.g., Day-1 Shift-1 and Day-1 Shift-2) are combined to generate the NTA scores. These scores are then used to compile the final results, which are considered for further processes, such as candidate allocation.
The relationship between CUET PG marks and percentile scores in 2025 depends on various key factors that shape a candidate's performance and relative ranking.
Since CUET PG is held across multiple shifts, the exam authorities use a normalization process to adjust scores. This process ensures fairness by accounting for any differences in difficulty levels between different shifts.
The level of difficulty in the exam can vary between shifts. Some candidates may face more challenging questions, which can affect their raw scores. This variation plays a role in determining the final marks.
The total number of candidates appearing for CUET PG 2025 also influences percentiles. A larger number of test-takers increases competition, which can affect how raw scores translate into percentile rankings.
CUET PG percentiles are relative and usually compared with data from previous years. If more candidates perform exceptionally well in 2025, it could impact percentile rankings, even for high scorers.
Different universities and colleges may weigh marks and percentiles differently. Some institutions may focus more on percentiles rather than raw marks, depending on their admission policies.
The CUET PG 2025 exam consists of 75 questions, each carrying four marks, making the total score 300. For each incorrect answer, one mark is deducted due to negative marking. As per a recent analysis by CollegeDekho, a score of over 200 is generally considered good, as it can place you in the 75-100 percentile range. Scoring 270+ may even secure a 100 percentile, depending on the exam's difficulty and overall performance of candidates.
Want to know more about CUET PG
CUET PG marks refer to the actual scores obtained by candidates in the exam, while percentile indicates their performance relative to other test-takers. Percentile is calculated by dividing the number of candidates scoring equal to or below a specific score by the total number of candidates.
Percentile scores for CUET PG are calculated using the formula:
Percentile = 100 × (Number of candidates with equal or lower raw scores than the candidate / Total number of candidates in the session)
Marks determine eligibility for admissions, while percentile is used to rank candidates for college admissions based on their relative performance. Percentile scores are considered a more accurate reflection of performance as they account for the exam's difficulty and number of candidates.
The table below shows the expected percentile range for different CUET PG marks:
CUET PG Total Marks | CUET PG Expected Percentile |
|---|---|
270 - 300 | 100 |
230 - 270 | 88 - 99 |
170 - 220 | 66 - 77 |
100 - 169 | 55 - 65 |
50 - 99 | 30 - 40 |
< 50 | < 25 |
Since CUET PG is held across multiple shifts, a normalization procedure is used to ensure fairness. Candidates are randomly assigned to shifts, and percentile scores are calculated for each session. These scores are then combined to generate the final NTA scores.
No, there is no revaluation of marks in CUET PG. However, candidates can challenge any doubts about answers, and if found correct, marks will be awarded for that question.
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