AdmiScan Research

Admissions data should answer decisions, not just list numbers

AdmiScan Research turns structured cutoff, counselling and programme data into reproducible analysis. We separate historical evidence from prediction and preserve the category, quota and round context behind every statistic.

NEET · Karnataka · Fees + Cutoffs

Karnataka NEET 2025 MBBS Fees vs Cutoffs

163 college-seat profiles across 65 college codes, comparing historical fee bands with median closing ranks while keeping seat types separate.

NEET · Karnataka · Round Volatility

Karnataka NEET 2025 MBBS Cutoff Volatility

1,912 comparable cutoff keys across 64 college codes, 75 categories and four seat types, with median, p90 and maximum movement context.

NEET · Maharashtra · Volatility

Maharashtra NEET 2025 Cutoff Volatility

College-, category- and programme-level movement using unchanged shares, medians, p90 values and maximum movement across 2,420 comparisons.

NEET · Uttar Pradesh · Fees vs cutoffs

UP Private MBBS Fees vs NEET Cutoffs 2025

Annual tuition and verified closing ranks compared across private and minority Uttar Pradesh MBBS seats without pooling the two populations.

NEET · Karnataka · Category-wise cutoffs

Karnataka NEET 2025 Category-Wise Cutoff Profiles

24 category-code profiles meeting minimum Round 1 and Round 2 evidence thresholds, including 20 Government codes and three Private codes, with 11 supported through Round 3.

Research standards

  • • Preserve round, category, seat-type and college context.
  • • Publish sample size beside movement statistics.
  • • Treat historical cutoffs as evidence, never admission guarantees.
  • • Point candidates back to official counselling authorities.

Read the broader AdmiScan methodology.