NEET Rank Predictor 2026
Type your expected NEET UG score. Pick your category. Read the all-India rank band in under ten seconds. The prediction uses NTA cutoff data from 2020 to 2025, weighted toward the 2025 revised result. For students sitting NEET UG in India.
Enter your score to predict your rank
How this NEET rank predictor works
NEET UG is scored out of 720 marks. For each score we read the all-India rank that sat at that mark level across NEET UG 2020, 2021, 2022, 2023, 2024, and 2025. The 2025 data carries the most weight. Prior years smooth out year-to-year paper difficulty. The output is a rank band with a low, a mid, and a high estimate.
Category bands (UR, OBC, SC, ST, EWS) are built from MCC round 1 closing ranks for government MBBS seats. Real admission cutoffs move with state quota, institute counselling, and the 2026 seat matrix. Treat the rank here as an indication, not a guarantee.
NEET 2025 cutoff reference
| Score (out of 720) | Approx. all-India rank | Typical category cutoff |
|---|---|---|
| 720 - 700 | 1 - 70 | Top AIIMS Delhi |
| 699 - 650 | 70 - 1,500 | AIIMS regional, JIPMER, top state MBBS |
| 649 - 600 | 1,500 - 10,000 | Top government MBBS in home state |
| 599 - 550 | 10,000 - 40,000 | Mid-tier government MBBS |
| 549 - 500 | 40,000 - 90,000 | State quota + private MBBS |
| 499 - 450 | 90,000 - 1,60,000 | Private MBBS, BDS, AYUSH |
| 449 - 400 | 1,60,000 - 2,50,000 | BDS, AYUSH, nursing |
Frequently asked
Is this rank predictor accurate?
It is a statistical estimate built on NTA data from 2020 to 2025. Actual rank depends on the score distribution in your year. Most scores that land inside the band above also land inside the predicted rank range.
Does it account for the 2025 answer key revisions?
Yes. The revised NEET UG 2025 result, published after the June 2025 key updates, is the primary reference point.
What if I claim category quota (OBC, SC, ST, EWS)?
Use the category selector. Category bands typically reduce the required rank by 20 to 40 percent relative to the unreserved category, based on MCC round 1 closing rank data.
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