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UP NEET UG 2026 Private MBBS Cutoff Prediction: College-Wise Round 1 Analysis

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UP NEET UG 2026 Private MBBS Cutoff Prediction: College-Wise Round 1 Analysis
Editor: Bodmas Research Published: 02 Sep 2026 Updated: 25 Oct 2026
UP NEET UG 2026

UP Private MBBS Cutoff 2026: Round 1 Prediction Based on Fees and Demand

Predicting the UP NEET UG 2026 Round 1 cutoff for private MBBS colleges is more complex than simply looking at the previous year's closing rank. A college's expected demand can change because of its fee structure, historical preference pattern and relative position among other private medical colleges.

For this analysis, the college-wise prediction model uses historical Round 1 cutoff trends and the available fee information to estimate the likely demand position of private medical colleges for UP NEET UG 2026.

PREDICTION METHODOLOGY

How the UP MBBS 2026 Round 1 Cutoff Prediction Model Works

The model does not treat every private medical college in the same way. Established colleges, new colleges and colleges with incomplete fee information have different levels of historical data and therefore different levels of prediction confidence.

For established colleges, the 2025 Round 1 cutoff acts as the primary recent benchmark. Historical cutoff trends and the effect of fee changes are then used to estimate the probable movement for 2026.

The purpose is not to present a single closing rank as a guaranteed result. Instead, the model attempts to provide a more practical estimate of where a college may stand in the overall demand hierarchy during Round 1.

MULTI-FACTOR ANALYSIS

Key Factors Used to Estimate College-Wise Demand

01 · HISTORICAL DATA

Previous Round 1 Cutoffs

Past closing ranks help identify whether a college has historically maintained strong, stable or weaker demand.

02 · RECENCY

Recent Market Position

The latest available Round 1 result is more relevant to the upcoming counselling cycle than much older cutoff data.

03 · AFFORDABILITY

Fee Movement

Changes in the fee structure can influence the number of students willing to place a college higher in their preference list.

04 · COLLEGE PREFERENCE

Demand and Choice Priority

Reputation, location and the relative preference of aspirants can make demand behaviour different from a simple fee-based calculation.

Why Previous Year Cutoffs Cannot Be Ignored

Historical cutoff data provides the starting point for understanding how students have preferred a particular college during previous counselling cycles.

Data PeriodWhy It Matters
Earlier Historical DataShows the longer-term demand behaviour of an established college.
Recent Previous-Year DataProvides a more relevant benchmark for the next counselling cycle.
2026 Fee InformationHelps evaluate whether affordability may change the demand pattern compared with the previous year.

The underlying model uses the supplied 2023 and 2024 cutoff sources, the 2025 benchmark data and available 2026 fee information. It also flags cases where historical data or final fee information is incomplete.

FEE IMPACT

How Can a Fee Increase Change the Expected Cutoff?

A fee increase does not automatically mean that a college will experience weak demand. Established reputation, location and student preference can continue to support demand even when the cost of studying increases.

The model therefore treats the fee effect as dampened rather than absolute. Its methodology specifically notes that the fee impact is moderated because factors such as reputation and location also influence student demand.

This is why two colleges with a similar percentage fee increase may still show very different expected cutoff movements in UP NEET UG 2026.

TOP DEMAND COLLEGES

UP Private MBBS Colleges Expected to See Strong Demand in 2026 Round 1

Based on the four-year fee and demand model, some private medical colleges are expected to remain among the higher choice-priority options during UP NEET UG 2026 counselling. A lower predicted closing rank indicates stronger expected demand and higher choice priority.

The following predictions are model-based estimates and should be treated as expected demand ranges rather than guaranteed Round 1 closing ranks.

EXPECTED CHOICE PRIORITY · #1

School of Medical Sciences & Research (Sharda University), Greater Noida

Medium-High Confidence
2025 ROUND 1
86,482
PROBABLE 2026 R1
92,497
STRONG DEMAND
83,247
WEAK DEMAND
1,01,747

Sharda University remains at the top of the model's expected choice-priority ranking. Its 2026 annual fee shows a comparatively moderate increase from the previous year, while the college retains the highest Quality/Demand Score in the model. These factors support the expectation of relatively strong demand during Round 1.

EXPECTED CHOICE PRIORITY · #2

Hind Institute of Medical Sciences, Sitapur

Medium-High Confidence
2025 ROUND 1
1,21,547
PROBABLE 2026 R1
1,19,958
STRONG DEMAND
1,07,962
WEAK DEMAND
1,31,954

Hind Institute of Medical Sciences, Sitapur, shows a relatively stable demand profile in the model. The 2026 fee increase is comparatively limited, and the historical Round 1 trend supports its position among the stronger-demand private MBBS options.

EXPECTED CHOICE PRIORITY · #3

United Institute of Medical Sciences, Prayagraj

Medium-High Confidence
2025 ROUND 1
1,41,916
PROBABLE 2026 R1
1,34,937
STRONG DEMAND
1,21,443
WEAK DEMAND
1,48,431

United Institute of Medical Sciences is one of the colleges where the historical demand trend remains important despite a significant 2026 fee increase. The model places the college among the top expected demand positions based on the combined fee-history and demand factors.

EXPECTED CHOICE PRIORITY · #4

K.D. Medical College Hospital & Research Centre, Mathura

Medium-High Confidence
2025 ROUND 1
1,24,130
PROBABLE 2026 R1
1,36,533
STRONG DEMAND
1,13,322
WEAK DEMAND
1,59,744

K.D. Medical College represents an important example of how the model treats fee increases and historical demand together. Despite a substantial 2026 fee increase, its historical Round 1 movement and overall demand profile continue to keep it among the stronger expected demand colleges in the model.

HOW TO READ THE PREDICTION

Why Students Should Look at the Range, Not Just One Rank

Every college in the model has a Probable 2026 Round 1 cutoff along with a Strong Demand Scenario and a Weak Demand Scenario. The actual counselling outcome can move within this broader range depending on student preference, fee sensitivity and the overall choice-filling pattern during UP NEET UG 2026 counselling.

FEE VS DEMAND ANALYSIS

Private MBBS Colleges Where the 2026 Fee Change May Influence Demand

One of the important factors considered in the UP NEET UG 2026 prediction model is the movement in college fees. A major fee increase can potentially make students more selective during choice filling, particularly when several colleges offer similar options at a lower overall cost.

However, fee increase should not be interpreted in isolation. The prediction model combines the fee movement with historical cutoff behaviour and the relative demand position of the college. Therefore, a higher fee increase does not automatically mean that every college will experience weaker demand.

CASE STUDY · MAJOR FEE INCREASE

K.D. Medical College, Mathura

FactorModel Data
2025 Round 1 Cutoff1,24,130
2025–2026 Fee Change32.35% increase
Probable 2026 Round 1 Cutoff1,36,533
Strong Demand Scenario1,13,322
Weak Demand Scenario1,59,744

The model projects a wider range for K.D. Medical College because the 2026 fee movement may affect student preference, while its established demand position can continue to support stronger choice filling from some aspirants.

HIGH FEE MOVEMENT

Heritage Institute of Medical Sciences, Varanasi

2025–2026 FEE CHANGE
36.23%
2025 R1
1,70,864
PROBABLE 2026 R1
2,00,083
EXPECTED MOVEMENT
29,219 Ranks
SIGNIFICANT PREDICTED MOVEMENT

Dr. K.N.S. Memorial Institute of Medical Sciences (Mayo), Barabanki

2025 ROUND 1
2,54,097
2025–2026 FEE CHANGE
34.76%
PROBABLE 2026 R1
3,05,239

The model indicates a potentially wider closing-rank movement for this college. Students should therefore pay particular attention to the complete prediction range rather than relying only on the probable central estimate.

FEE SENSITIVITY ANALYSIS

Shri Venkateshwara Institute of Medical Sciences

2025 R1 CutoffFee IncreaseProbable 2026 R1
2,70,84835.10%3,25,836

This prediction reflects the possibility that a major fee movement can affect the college's affordability position during counselling. The final Round 1 result, however, will depend on actual student choice filling and the overall competition for private MBBS seats.

STUDENT PREFERENCE ANALYSIS

Value-for-Money Matters During Private MBBS Choice Filling

Students generally do not select a private medical college based only on its cutoff. During counselling, the overall cost of the MBBS course can significantly influence whether a college is placed higher or lower in the preference list.

College Cost

The current fee structure determines the overall financial commitment required from the student and family.

Historical Demand

Previous Round 1 cutoffs indicate whether the college has consistently remained a preferred choice.

College Position

Students compare one college against competing private medical colleges available at a similar rank and budget.

IMPORTANT FOR STUDENTS

A College Cutoff Prediction Should Be Used as a Planning Tool

The predicted cutoff can help students understand the possible demand position of a college, but it should not be treated as a guaranteed allotment rank. The actual result can change depending on seat availability, candidate preferences, fees and the overall UP NEET UG 2026 counselling pattern.

COLLEGE-WISE PREDICTION

UP Private MBBS 2026 Round 1 Cutoff Prediction: College-Wise Analysis

The table below presents the model's college-wise Round 1 prediction using the 2025 cutoff as the recent benchmark, along with the available 2026 fee structure and the adjusted strong-demand and weak-demand scenarios. The model also incorporates historical fee response and college demand factors where sufficient data is available.

How to read this table: A lower closing rank indicates stronger expected demand. The Probable 2026 R1 figure is the model's central estimate, while the Strong Demand and Weak Demand figures represent possible movement depending on the actual choice-filling pattern.

Higher-Demand Private MBBS Colleges

Expected choice priority based on the four-year fee and demand model.

PriorityCollegeLocation2025 R12026 FeeFee ChangeProbable 2026 R1Strong DemandWeak Demand
1School of Medical Sciences & Research (Sharda University)Greater Noida86,482₹16,25,9106.74%92,49783,2471,01,747
2Hind Institute of Medical SciencesSitapur1,21,547₹13,60,6905.26%1,19,9581,07,9621,31,954
3United Institute of Medical SciencesPrayagraj1,41,916₹14,53,07022.07%1,34,9371,21,4431,48,431
4K.D. Medical College Hospital & Research CentreMathura1,24,130₹16,25,61332.35%1,36,5331,13,3221,59,744
5Shri Gorakhnath Medical College Hospital & Research CentreGorakhpur1,61,578₹16,10,40013.88%1,48,3301,33,4971,63,163
6Saraswati Institute of Medical SciencesHapur1,64,442₹14,62,81623.79%1,67,4611,50,7151,84,207
7Rama Medical College Hospital & Research CentreHapur1,87,338₹15,10,15015.28%1,78,5601,60,7041,96,416
8Hind Institute of Medical SciencesBarabanki1,67,386₹17,18,3061.94%1,83,4061,65,0652,01,747
9Subharti Medical CollegeMeerut1,91,200₹14,95,9755.19%1,85,1901,66,6712,03,709
10Heritage Institute of Medical SciencesVaranasi1,70,864₹18,00,26836.23%2,00,0831,66,0692,34,097
11Shri Ram Murti Smarak Institute of Medical SciencesBareilly1,77,049₹19,78,2140%2,08,8831,87,9952,29,771
12Muzaffarnagar Medical CollegeMuzaffarnagar1,92,231₹17,62,9475.40%2,09,7001,88,7302,30,670
13Rama Medical College Hospital & Research CentreKanpur2,12,393₹16,00,4605.30%2,10,4011,89,3612,31,441
14G.S. Medical College & HospitalHapur2,30,414₹15,10,8804.73%2,28,6712,05,8042,51,538
15Naraina Medical College & Research CentreKanpur2,46,901₹14,50,01019.37%2,44,0322,19,6292,68,435
16S.K.S. Hospital Medical College & Research CentreMathura2,46,379₹14,50,30019.40%2,45,8882,21,2992,70,477
17Krishna Mohan Medical College & HospitalMathura2,48,698₹15,25,25029.94%2,78,2022,50,3823,06,022
18Noida International Institute of Medical SciencesGautam Buddh Nagar2,58,874₹17,16,7840%2,79,7342,51,7613,07,707
KEY OBSERVATION

The Same Fee Level Does Not Produce the Same Cutoff

The model intentionally does not assume that two colleges with similar fees will close at similar ranks. Historical demand, quality and demand score, location and past student preference are retained as separate factors. This is particularly important when comparing established brands with colleges that may have a similar annual fee but a different demand history.

NEXT ANALYSIS

What About Lower-Demand and New Private Medical Colleges?

The next section will cover colleges with wider predicted cutoff ranges, new medical colleges without long historical cutoff data, and institutions where the 2026 fee remains provisional or unpublished. These colleges carry relatively higher uncertainty in the prediction model.

WIDER CUTOFF RANGE

UP Private MBBS Colleges with Higher Cutoff Uncertainty in 2026

Some private medical colleges may show a wider movement in their closing ranks because student preference can change significantly depending on fees, location, seat availability and competition from other colleges. For such colleges, the predicted range should be considered more carefully than a single central cutoff estimate.

Why Some College Predictions Have a Wider Range

Fee Sensitivity

A major increase in annual tuition can influence the position of a college in a student's preference list.

Changing Competition

A college may gain or lose demand when competing colleges revise their fees or increase their seat availability.

Limited History

Newer colleges may have fewer years of historical cutoff data available for a long-term prediction.

Colleges with Wider Predicted Closing Rank Movement

These projections should be used with a larger safety margin during choice filling.

CollegeLocation2025 R1Probable 2026 R1Strong DemandWeak DemandPrediction Confidence
Dr. K.N.S. Memorial Institute of Medical SciencesBarabanki2,54,0973,05,2392,74,7153,35,763Medium
Shri Venkateshwara Institute of Medical SciencesAmroha2,70,8483,25,8362,93,2523,58,420Medium
Krishna Mohan Medical College & HospitalMathura2,48,6982,78,2022,50,3823,06,022Medium
Noida International Institute of Medical SciencesGautam Buddh Nagar2,58,8742,79,7342,51,7613,07,707Medium
NEW MEDICAL COLLEGES

How Should Students Evaluate New Private Medical Colleges?

Newer private medical colleges require a different prediction approach because several years of historical Round 1 cutoff data may not be available. In such cases, the model should place greater importance on the current fee level, seat availability, location and comparison with similar established colleges.

  • Compare the annual fee with nearby established private medical colleges.
  • Check whether the college is located near a major student catchment area.
  • Consider the number of available MBBS seats.
  • Review the first available counselling rounds carefully.
  • Do not rely on a single estimated cutoff because early-year demand can change quickly.
CHOICE FILLING STRATEGY

How Students Should Use the 2026 Cutoff Prediction

1. Aspirational Choices

Include colleges where your rank is slightly above the predicted strong-demand cutoff if the college is a high priority for you.

2. Probable Choices

Focus strongly on colleges where your rank falls near or better than the model's probable 2026 cutoff estimate.

3. Safe Choices

Keep colleges where your rank is comfortably within the weak-demand range to create a stronger safety net.

FINAL ANALYSIS

UP NEET UG 2026 Private MBBS Cutoff Prediction: Final Takeaway

The UP NEET UG 2026 Round 1 cutoff prediction should be treated as a decision-support tool rather than a guaranteed result. Historical cutoffs remain important, but the 2026 counselling outcome can also be influenced by changes in private college fees, student demand and the overall choice-filling pattern.

Students should therefore avoid preparing their preference list based only on the previous year's closing rank. A better strategy is to compare the probable cutoff with the strong-demand and weak-demand scenarios and then create a balanced list containing aspirational, probable and safe colleges.

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