Based on Previous 5 Year's NEET Data.
Discover your admission chances for AIQ & State Quota.
Our AI analyzes over 5 years of historical NEET cutoffs and rank trends.
Adjusts for difficulty levels, tie-break rules, and student count growth.
Get free personalized college recommendations based on your predicted rank.
Predict your All India Rank, check quota probabilities, and plan your medical journey.
Knowing your expected All India Rank (AIR) before the official NTA results is crucial for planning your medical admission strategy. Our NEET Rank Predictor analyzes historical rank vs marks data to give you the most accurate prediction possible.
With this information, you can determine whether you have a solid chance at Government Medical Colleges or if you should start looking into top Private MBBS colleges and Deemed Universities.
Medical admissions in India are divided into 15% All India Quota (AIQ) and 85% State Quota. Our tool calculates your probability of securing a seat in both. State Quota cutoffs are typically lower than AIQ cutoffs for students with domicile certificates.
By utilizing our intelligent rank mapping, you can gain a significant advantage in the rigorous MCC counseling process.
Our prediction model analyzes official historical data from NTA (National Testing Agency) counseling cutoffs from 2020-2025. It dynamically adjusts for yearly paper difficulty, tie-breaking rules, and candidate inflation to provide you with the most realistic estimate possible.
Disclaimer: This is a predictive tool based on statistical models, not an official NTA result. Actual ranks may vary slightly.
Everything you need to know about this tool and NEET 2026.
Our NEET Rank Predictor uses historical cutoff data and advanced algorithms to estimate your All India Rank (AIR) based on your expected NEET 2026 score.
Yes! By entering your state and category, the tool calculates both your All India Quota (AIQ) and State Quota admission probabilities for government medical colleges.
The predicted rank is a highly accurate estimate based on past trends, but actual ranks may vary slightly depending on the difficulty of the paper and the number of candidates.
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