CAT Mock Test Analyzer

Track your raw score, accuracy and section-wise performance.

+3 correct · −1 wrong MCQ

Answer breakdown

0 marks
0 attempted · 24 skipped · — accuracy

TITA means type-in-the-answer (non-MCQ). Wrong TITA answers have no negative marking.

Advanced options

Edit question totals to match your mock. Default: 24 VARC, 22 DILR, 22 QA.

Only compare raw scores from mocks with comparable patterns and marking schemes.

Overall raw score
0/ 204 possible

Enter answers for VARC, DILR and QA to see your analysis.

Attempted0 / 68
Accuracy—
Unattempted68
MCQ penalties0

Section performance

Raw score vs. maximum
VARC0 / 72
DILR0 / 66
QA0 / 66
Enter your mock answers to identify a section to review.
Full sectional breakdown
VARC
0/24 attempted— accuracy24 skipped
DILR
0/22 attempted— accuracy22 skipped
QA
0/22 attempted— accuracy22 skipped

Method: +3 per correct answer, −1 per wrong MCQ, 0 penalty for wrong TITA or skipped questions. Scores shown are raw, not scaled scores or percentiles. CAT slot normalization and percentile rankings cannot be calculated from one mock alone. Check rules and updates on the official CAT website ↗.

A CAT Mock Test Analyzer helps MBA aspirants understand their mock-test performance beyond a simple total score. Taking mock tests is important for CAT preparation; however, merely attempting one mock after another does not guarantee improvement. The real progress begins when you analyze your accuracy, attempts, negative marks, section-wise performance, time usage, and recurring mistakes. A well-designed CAT Mock Test Analyzer turns raw mock-test data into clear, practical insights that can help you prepare more strategically.

Instead of focusing only on questions such as, “What was my score?” or “What percentile did I get?”, students should also ask: How many questions did I attempt correctly? Where did I lose marks? Which section consumed the most time? Was I attempting too many questions? Was my accuracy strong enough? These details often explain why a student with good preparation may still receive an inconsistent mock score.

How Does the CAT Mock Test Analyzer Work?

Enter your performance details for the CAT sections — VARC, DILR, and QA — including the number of attempted questions, correct answers, incorrect answers, unattempted questions, and time spent. The analyzer processes these values and provides useful performance indicators such as total attempts, accuracy percentage, estimated score, section-wise accuracy, negative-mark impact, and overall efficiency.

A basic accuracy formula is:

Accuracy (%) = (Correct Answers ÷ Total Attempted Questions) × 100

For example, if you attempted 20 questions and answered 15 correctly:

Accuracy = (15 ÷ 20) × 100 = 75%

Your estimated score can be calculated using the marking rules followed by your mock test. For a common CAT-style scoring pattern:

Estimated Score = (Correct Answers × Marks per Correct Answer) − (Incorrect MCQ Answers × Negative Marks)

Always check your mock provider’s scoring rules, because penalties can differ by question type or test format.

The analyzer becomes especially useful when you compare section-wise results. For instance, a student may have excellent accuracy in QA but attempt too few questions, while another may attempt aggressively in VARC and lose a significant number of marks through incorrect answers. Both students require different preparation strategies.

A CAT Mock Test Analyzer can also help identify whether your problem lies in knowledge, question selection, speed, or accuracy. If your attempts are high but accuracy is low, reducing unnecessary attempts may improve your score. If accuracy is high but attempts remain very low, improving speed and question selection could be more valuable. Similarly, if one section consistently underperforms, your study schedule can be adjusted accordingly.

The goal is not to chase the highest possible number of attempts. CAT rewards intelligent selection, controlled risk, strong fundamentals, and efficient time management. Therefore, use your mock analysis to identify patterns across several tests rather than reacting emotionally to one unusually high or low score.

Regular analysis can make every mock test more valuable. Record your results, review your mistakes, understand why an answer went wrong, and compare your performance over time. With consistent practice, the CAT Mock Test Analyzer can become a useful companion for building a more disciplined, data-driven preparation strategy.

Frequently Asked Questions

1. What is a CAT Mock Test Analyzer?

A CAT Mock Test Analyzer is a performance-analysis tool that evaluates your mock-test attempts, correct answers, incorrect answers, accuracy, estimated score, section-wise performance, and other useful indicators. It helps you understand where marks are being gained or lost.

2. How is CAT mock-test accuracy calculated?

Accuracy is calculated by dividing the number of correct answers by the total number of attempted questions, and then multiplying the result by 100. For example, 18 correct answers out of 24 attempts give an accuracy of 75%.

3. Is a higher number of attempts always better in CAT mocks?

No. More attempts are useful only when accuracy remains under control. Excessive guessing or poor question selection can increase negative marks. A balanced combination of attempts, accuracy, speed, and question selection is usually more important.

4. How often should I analyze my CAT mock tests?

Ideally, analyze every full-length mock test after completing it. Do not look only at the final score; review section-wise performance, incorrect answers, skipped questions, time allocation, and the reasons behind each mistake. Comparing several mocks can reveal patterns that a single test may not show.

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