
CUET Marks vs Percentile 2026: The Common University Entrance Test (CUET) 2026 evaluates candidates' performance using two important metrics - raw marks and percentile scores. Understanding CUET Marks Vs Percentile 2026 helps students correctly interpret their performance and estimate admission chances in central, state, and participating universities.
CUET UG 2026 is conducted in multiple shifts, making normalization essential. As universities accept normalized percentile scores instead of raw marks for admissions. Here, we explained about CUET marks vs percentile with the method of calculation.
CUET 2026 Marks Vs Percentile 2026 explains how a candidate’s performance in the Common University Entrance Test is measured and compared for admission purposes. CUET marks refer to the raw score obtained based on correct and incorrect answers, while the percentile reflects a candidate’s relative rank among all test-takers after normalization.
CUET marks represent the actual score a candidate achieves in the examination. This score depends on correct and incorrect answers. The marking scheme specifies points for correct responses and deductions for wrong ones. This raw score directly reflects individual performance on a specific test paper. How to Calculate Marks in CUET? involves summing up points from correct answers and subtracting penalties.
A percentile score indicates a candidate's relative performance against others. It shows the percentage of candidates who scored equal to or less than that individual. Percentiles range from 0 to 100. A higher percentile means a stronger relative position within the candidate pool.
The National Testing Agency (NTA) uses a standardized formula to calculate percentiles for each session.
The formula used is:
Percentile Score = (Number of candidates who scored equal to or less than you ÷ Total candidates in the session) × 100
This formula ensures the percentile in CUET 2026 acts as a comparative measure.
The CUET normalization process adjusts scores from exams conducted in multiple shifts. Different shifts might have varying difficulty levels. Normalization ensures fairness by converting raw scores into a comparable scale. This process yields normalized percentile scores. The NTA applies this method to account for difficulty differences across shifts, making the CUET Result fair.
Converting raw scores to normalized scores involves several steps. First, raw scores are computed for all candidates. These raw scores then determine percentile ranks for each exam session. Finally, these session-wise percentiles are integrated to produce a final normalized score. This normalized score forms the basis for merit lists and admissions.
The CUET result calculation process involves three major steps:
Raw Score Calculation – Based on marking scheme
Session-wise Percentile Calculation – Ranking candidates within the same shift
Normalization Across Sessions – Creating a uniform merit scale
The final normalized percentile is used by universities to prepare admission merit lists.
In CUET 2025, various subjects and universities showed diverse percentile cut-offs. High raw scores generally led to high percentiles. However, the exact percentile depended on other candidates' performance in that specific session. These past trends offer insights into CUET Marks Vs Percentile 2026 expectations.
|
CUET Score Vs Percentile 2025 Statistics |
|
|
CUET Marks (Out of 250) |
Estimated Percentile |
|
240-250 |
100 |
|
234-213 |
99-99.99 |
|
212-188 |
98-97 |
|
187-163 |
96-95 |
|
162-138 |
94-93 |
|
137-113 |
92-90 |
|
112-100 |
89-84 |
|
99-88 |
83-80 |
|
87-75 |
79-75 |
|
74-63 |
74-70 |
|
62-50 |
69-55 |
|
49-25 |
54-30 |
The overall score vs percentile for CUET 2025 out of 1250 marks is estimated as:
|
Overall CUET Marks Vs Percentile 2025 (Out of 1250) |
|
|
CUET Marks Range |
Expected Percentile Range |
|
1100-1250 |
99-100 |
|
1000-1099 |
98-99 |
|
950-999 |
96-97 |
|
900-949 |
94-95 |
|
850-899 |
92-93 |
|
800-849 |
90-91 |
|
700-799 |
85-89 |
|
600-699 |
75-84 |
|
Below 600 |
Below 75 |
Based on past years statistics, the expected CUET 2026 Marks vs Percentile can be estimated as follows:
|
Expected CUET Marks Vs Percentile 2026 |
|
|
CUET Marks Range (Out of 250) |
Expected Percentile Range |
|
230-250 |
99.9 - 100 |
|
220-229 |
99.7 - 99.9 |
|
210-219 |
99.3 - 99.7 |
|
200-209 |
98.8 - 99.3 |
|
190-199 |
97.5 - 98.8 |
|
180-189 |
96 - 97.5 |
|
170-179 |
94 - 96 |
|
160-169 |
90 - 94 |
|
150-159 |
85 - 90 |
|
140-149 |
80 - 85 |
|
130-139 |
75 - 80 |
|
Below 130 |
Below 75 |
Below is the expected overall CUET Score Vs Percentile 2026 based on past year’s analysis:
|
Expected Overall CUET Marks Vs Percentile 2026 (Out of 1250) |
|
|
CUET Marks Range |
Expected Percentile Range |
|
1100-1250 |
99+ |
|
1000-1099 |
98-99 |
|
900-999 |
95-98 |
|
800-899 |
90-95 |
|
700-799 |
85-90 |
|
600-699 |
75-85 |
|
Below 600 |
Below 75 |
Understanding how CUET Marks Vs Percentile relates to admission at top-ranked NIRF 2025 universities helps candidates plan target scores and percentile goals for competitive courses. Many leading central and state universities rely on CUET performance for UG admissions.
Here are the top NIRF 2025 ranking universities that offer admission through the CUET score:
|
Top NIRF 2025 Ranking Universities List |
|
|
University |
NIRF Rank 2025 (Approx) |
|
Jawaharlal Nehru University (JNU) |
2 |
|
Jamia Millia Islamia (JMI) |
3 |
|
University of Delhi (DU) |
5 |
|
Banaras Hindu University (BHU) |
6 |
|
Aligarh Muslim University (AMU) |
10 |
|
University of Hyderabad |
17 |
|
Baba Saheb Bhimrao Ambedkar University (BBAU) |
33 |
|
Amity University |
32 |
Understanding the underlying mechanisms of score calculation and normalization is crucial for CUET candidates. These processes ensure fair evaluation.
The National Testing Agency (NTA) calculates percentiles for each subject. Candidates are grouped by their exam session. For each candidate, their percentile indicates how many candidates scored less than or equal to them. This method ranks candidates within their specific session. A high percentile signifies superior performance compared to most peers in that group.
Normalization is a statistical method for comparing candidate performance across different test shifts. Test papers can vary in difficulty. Raw scores from different shifts are not directly comparable. The NTA converts raw scores into percentiles for each shift. Then, these percentiles are scaled to create a uniform distribution. This ensures a fair playing field for all candidates, preventing unfair advantages or disadvantages.
Physics Wallah provides CUET UG Online Coaching with live classes, study materials, and practice tests. The courses are designed to make learning simple and effective, helping you prepare for your CUET UG exams with ease.