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Comparison table
| # | Score | Percentile | Rank | Rank range | Total candidates | Category | Category rank | Difficulty | Saved on |
|---|---|---|---|---|---|---|---|---|---|
| Add results to compare multiple scenarios. | |||||||||
Example data table
| Scenario | Score | Difficulty | Total candidates | Estimated percentile | Predicted rank (approx) |
|---|---|---|---|---|---|
| Practice A | 612 | Medium | 2400000 | ~97.4 | ~62,400 |
| Practice B | 540 | Easy | 2400000 | ~92.2 | ~187,200 |
| Practice C | 410 | Hard | 2400000 | ~72.8 | ~652,800 |
Formula used
The calculator converts your score to an estimated percentile using a smooth logistic mapping:
Then it estimates rank from the candidate count:
Difficulty and uncertainty options apply small adjustments to create a realistic range. This is a prediction tool, not an official list.
How to use this calculator
- Enter your expected score between 0 and 720.
- Keep total candidates as default, or set your estimate.
- Select difficulty to reflect how competitive the paper feels.
- Choose a confidence band to widen or tighten rank range.
- Submit to view predicted rank above the form.
- Save multiple scenarios in the comparison table and export.
Important notes
- Official ranks depend on the real score distribution and rules.
- Use this as planning support for counselling choices and backups.
- For best decisions, compare with verified cutoffs and notices.
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Score based rank forecasting
NEET ranks depend on score distribution each year. This calculator gives a planning estimate from your marks. It uses a smooth mapping to approximate percentile. It then converts percentile into a rank range.
Percentile curve and competition
Higher scores compress ranks near the top. Small score changes can shift thousands of positions. The curve highlights this compression clearly. Use it to set safer targets. Keep a buffer for tough tie situations.
Candidate count sensitivity
Total candidates strongly affect predicted rank. A larger pool widens the rank spread. Enter a realistic count for your attempt year. Compare scenarios with 2.2 to 2.6 million candidates. Save both cases in the table.
Difficulty adjustment using data
Easy papers raise competition at the same score. Hard papers reduce competition at the same score. The calculator applies a small percentile shift. This keeps results stable while still responsive. Choose the setting that matches your test feel.
Category view for counselling planning
Overall rank remains the main reference for counselling. Category rank is shown for quick comparison. It uses your category share estimate. Update the share using recent registration patterns. Use this view for backup college selection.
Using exports for revision strategy
Export CSV to track mock improvements weekly. Export PDF to keep a snapshot for counselling chats. Record score, percentile, and rank range each test. Focus on raising weak subject blocks. Target steady gains of 10 to 20 marks.
FAQs
Is this rank prediction official?
No. It is an estimate for planning. Official ranks depend on the real score distribution and tie rules. Always verify with official announcements and counselling data.
Why does the same score show different ranges?
The calculator adds an uncertainty band. Mid scores have wider spread. Extreme scores have tighter spread. This reflects typical variation across years.
What should I enter for total candidates?
Use an expected nationwide registration count for your year. If unsure, keep the default. You can also test multiple values and compare scenarios.
Does category change overall rank?
No. Overall rank is score based across all candidates. Category only affects reservation and seat availability. The category rank here is a rough view, not an official list.
How does difficulty selection affect results?
It shifts estimated percentile slightly. Easy papers lower percentile for the same score. Hard papers raise percentile for the same score. It is a small adjustment for realism.
Can I use this for mock tests?
Yes. Save each mock result to the comparison table. Export CSV to track progress. Use the curve to understand score sensitivity near your target rank.