Get accurate NEET UG counselling guidance using 15+ advanced prediction tools and expert human analysis. Minimize allocation risks and navigate state quota matrices stress-free.
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Estimate your instant All India NEET Rank based on official NTA benchmarks
Estimates processed using previous year trends and current year competitive index.
Click on any tool below to instantly preview its smart prediction algorithms, mock choice sheets, state criteria mapping, or NMC fee breakdowns.
Based on 6+ years of MCC counselling archives
Maulana Azad Medical College (MAMC)
Delhi • Government • Cutoff AIR: 12,500
King George's Medical University (KGMU)
Lucknow • Government • Cutoff AIR: 14,800
Patna Medical College (PMCH)
Patna, Bihar • Government • Cutoff AIR: 16,500
Ambitious, top-tier colleges
Highly probable colleges
Perfect backup options
Ready to process your official NEET UG counselling dataset?
Launch Full ToolAnalyze the latest official candidate demographics, registration volumes, attendance profiles, and the newly updated 2026 MBBS seat matrix.
Registered Candidates
Total verified candidates registered for NEET UG 2026 cycle.
Appeared Candidates
Absent Candidates
Official circular updates from the Medical Counselling Committee (MCC).
Step-by-step guide on using PiersEdu Rank Predictor, College Predictor, MBBS Fees Finder, Choice Preference Generator, and 24/7 AI Counsellor for NEET 2026.
Master the key rules of MCC 15% All India Quota, Choice Locking tactics, and State level Domicile strategies.
Don't get caught off guard. Learn how state service bonds (up to 5 years) and hostel deposits impact your MBBS budget.
Review top-tier institutions like AIIMS, MAMC, and KGMU alongside state ranks and fee parameters.
Do not risk losing a premium medical seat because of inaccurate choice logs or missing eligibility papers. Submit your contact details to arrange a free consultation with our senior counsel mentors.
Fast answers regarding state domicile locks, choice cancellations and Deemed security fees.
Our algorithms process current-year candidate scores alongside historical data spanning 6+ years of MCC (All India Quota) and State bodies allotment lists. This achieves an outstanding 95% matching accuracy.