Marks vs Rank Predictor
Estimate your rank from your marks and total candidates for competitive exams.
Estimate only. Real ranks depend on the actual score distribution, normalisation and difficulty across shifts. This uses a bell-curve approximation centred near 45% of the topper's score — useful for a ballpark, not a guarantee.
How Marks Translate into Rank
Your rank is simply the number of candidates scoring above you, plus one. Since actual score lists aren't public before results, this predictor models the score distribution as a bell curve centred near 45% of the topper's marks — a shape that fits most large Indian competitive exams — and estimates how many of the total candidates fall above your score.
Using the Estimate Sensibly
- Treat the output as a range: ±30% of the predicted rank is realistic.
- Cross-check with previous years' official marks-vs-rank data for your specific exam and category.
- Normalisation across shifts can move raw marks by several points before ranking.
First compute your realistic score with the Negative Marking Calculator, verify your eligibility with the Age & Eligibility Calculator, and raise the marks themselves with our mock tests and subject-wise GK practice.
Frequently Asked Questions
How accurate is a marks vs rank predictor?
It is an estimate. Real ranks depend on the actual score distribution, shift-wise normalisation and paper difficulty. Use it for a ballpark, then compare with previous years' marks-vs-rank data for your exam.
How does the prediction work?
The tool assumes scores follow a bell curve centred near 45 percent of the topper's marks, computes the fraction of candidates likely to score above you, and multiplies by the total candidates.
Why does entering the topper's marks change my rank?
The expected topper score anchors the curve. If the paper was tough and the topper got 160/200, scoring 140 places you much higher than if the topper got 195.
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