What is NEET AIQ Predictor?
Use the NEET AIQ College Predictor 2026 to estimate your chances of MBBS admission through the 15% All India Quota (MCC). Predict colleges based on your NEET rank, category, counselling round and previous year cutoffs.
This predictor includes:
- AIIMS
- JIPMER
- Government Medical Colleges
- Central Universities
- Deemed Universities
Under the All India Quota system, 15% of all undergraduate seats (MBBS/BDS) in state-funded government medical colleges are surrendered to the central pool. This ensures a level playing field, allowing meritorious students from any state to secure admission in prestigious colleges nationwide. The Medical Counselling Committee (MCC) is the authoritative body responsible for conducting the centralized online Medical Counselling for these seats.
Beyond the state-surrendered 15% seats, MCC counselling also covers 100% of seats in central universities (like DU, AMU, BHU), Deemed Universities, and premier institutes including AIIMS and JIPMER. With so many variables—ranging from seat matrix updates and reservation categories to shifting candidate preferences—predicting admission outcomes manually is nearly impossible.
This is where our College Predictor comes in. By analyzing previous years' MCC allotment data, opening and closing ranks, and category-wise cutoffs, the predictor algorithm filters through thousands of data points instantly. It empowers students with the knowledge of which colleges they have a strong, moderate, or slim chance of getting into, enabling them to make informed decisions during the crucial choice-filling phase of MCC counselling.
How MCC Counselling Predictor Works
Understanding the underlying mechanics of the MCC Counselling Predictor can help you use it more effectively. The predictor operates on a sophisticated algorithm that mirrors the actual seat allocation logic used by the Medical Counselling Committee, factored against extensive historical data. At its core, the tool matches your profile against past admission trends to forecast future outcomes.
First, the algorithm takes your NEET All India Rank (AIR) as the primary input. It's crucial to understand that MCC counselling strictly relies on the AIR, not your state rank or NEET score. Since the difficulty level of the exam and student performance vary annually, using rank provides a much more stable and reliable metric for prediction than raw scores.
Secondly, your Category (UR, OBC, SC, ST, EWS) plays a pivotal role. The predictor incorporates the constitutional reservation policies applicable in AIQ seats. For instance, it accounts for the 27% OBC quota, 10% EWS quota, 15% SC quota, and 7.5% ST quota in central institutions and AIQ seats. By selecting your specific category, the predictor filters historical cutoffs relevant only to you, significantly narrowing down the college allocation possibilities.
The tool then cross-references this personalized profile against the database of AIQ seats. It examines the opening and closing ranks for every college and every category across all rounds of previous MCC counselling sessions (Round 1, Round 2, Mop-Up, and Stray Vacancy). It adjusts for anomalies and calculates a probability score. The final output is a categorized list of colleges, indicating where you have a "High", "Medium", or "Low" probability of securing admission, helping you strategically order your preferences during the actual choice filling.
AIIMS Admission Predictor
Securing a seat in an All India Institute of Medical Sciences (AIIMS) is the ultimate dream for almost every medical aspirant in India. Known for their world-class infrastructure, exceptional faculty, and minimal fees, AIIMS institutes are the crown jewels of Indian medical education. The AIIMS Admission Predictor module within our tool is specifically calibrated to analyze your chances for these highly competitive seats.
Since 2020, admission to all AIIMS institutes across India has been brought under the umbrella of NEET, with the counselling conducted exclusively by the MCC. Our predictor covers all operational AIIMS campuses. While AIIMS Delhi remains the most sought-after, requiring an exceptionally high rank (typically under AIR 50 for the general category), newer AIIMS offer excellent opportunities for students with slightly lower ranks.
The predictor provides granular insights for institutes like AIIMS Bhopal, AIIMS Jodhpur, AIIMS Bhubaneswar, and AIIMS Rishikesh. These older, established AIIMS typically close within the top 500-1000 ranks. Furthermore, it also analyzes data for newer establishments such as AIIMS Kalyani, AIIMS Gorakhpur, AIIMS Rajkot, and others, where cutoffs extend further. By utilizing this predictor, you can precisely gauge which specific AIIMS campus aligns with your NEET AIR and category.
Government Medical College Predictor
While AIIMS represents the pinnacle, the backbone of India's healthcare education system consists of numerous state and central government medical colleges. Through the 15% All India Quota, students have the incredible opportunity to study in Top Medical Colleges outside their home state. Our Government Medical College Predictor is designed to decode this vast and complex landscape.
This section of the predictor encompasses over 300+ government medical colleges participating in the MCC counselling process. From highly prestigious institutions like Maulana Azad Medical College (MAMC) in Delhi, Seth GS Medical College in Mumbai, and Madras Medical College in Chennai, to emerging government colleges in remote districts, the tool covers the entire spectrum.
The algorithm helps students navigate the steep competition for government seats, which are highly preferred due to subsidized fee structures and high patient inflow. By analyzing the closing ranks of various institutions across states, the predictor assists you in creating a balanced choice-filling list. It helps identify realistic 'safe' colleges based on your rank, 'reach' colleges that might be available in later rounds, and prevents you from wasting choices on mathematically improbable options.
NEET AIQ Cutoff Trends
Analyzing previous year cutoff trends is the foundation of strategic choice filling. Below is an illustrative example of how All India Ranks generally correlate with admission probabilities for the unreserved (UR) category in the All India Quota. Please note that these are generalized trends and exact cutoffs fluctuate annually.
| NEET AIR Rank (General) | Admission Probability & College Category |
|---|---|
| 1 - 50 | High probability for AIIMS Delhi, JIPMER Puducherry, MAMC Delhi |
| 51 - 1,000 | High probability for Top AIIMS (Bhopal, Jodhpur), VMMC, top state GMCs |
| 1,001 - 5,000 | Good chances in established government colleges across major cities and newer AIIMS |
| 5,001 - 15,000 | Moderate chances in semi-urban government medical colleges via AIQ |
| 15,001 - 25,000 | Lower chances in AIQ (Round 1/2), relying heavily on Mop-Up/Stray Vacancy rounds or newer colleges |
| Above 25,000 | Very low probability for Government MBBS via AIQ; recommended to focus on State Quota or Deemed Universities |
Previous Year MCC Trends
Our historical analysis reveals critical insights into MCC counselling dynamics. Over recent years, we've observed a distinct rightward shift in cutoffs for newer AIIMS institutions, indicating growing student acceptance and preference for these central institutes over established state colleges. Furthermore, the introduction of the multi-round counselling system (including Mop-Up and Stray Vacancy rounds conducted online) has significantly reduced seat blocking, allowing ranks slightly lower than initial expectations to secure seats in the final stages.
Data also shows that choice filling order drastically impacts allotment. Students who strategically place institutions based on realistic rank alignment rather than purely alphabetical or prestige-based sorting tend to secure better allocations in earlier rounds, minimizing anxiety. Our predictor integrates these behavioral and statistical trends to offer a refined, pragmatic list of potential colleges.