JoSAA
2025 counselling data
- Method
- Historical cutoff comparison
- Rounds
- Rounds 1–6
The audit compares the selected institute, programme, category, gender pool and quota with the matching historical cutoff row where available.
Methodology and data sources
How AdmiScan works
AdmiScan uses structured admission data and explicit audit rules first. It keeps historical evidence, missing data and limitations visible so students can make a better-informed choice without treating the result as a guarantee.
Verified evidence
Official sources
Clear verdicts
No internal jargon
Cost visibility
INR + original currency
Next action
One priority at a time
AdmiScan workflow
Answer first, detail on demand
1Send your question
2Add useful context
3Receive a clear reply
4Continue your audit
Methodology reviewed: July 2026
The important distinction
Data and rules calculate the audit
Engineering and NEET Counselling audits match the student’s inputs with the relevant historical cutoff records available in AdmiScan. Masters and MBA audits use programme evidence, budget and readiness rules because there is no JoSAA-style public closing-rank system for those applications.
AI may explain, but it does not decide
AI may turn a structured result into clearer wording or improvement guidance. It does not independently decide whether a college or programme is Safe, Realistic, Ambitious, eligible or affordable.
1. Information used in an audit
The exact inputs depend on the counselling or application type. AdmiScan may use:
Rank and the correct rank type
Category and reservation group
Quota, seat region or home state
Gender pool where applicable
College, institution and programme
Counselling round and seat type
Academic profile and test information
Budget, country and application goals
Documents supplied for MS/MBA review
Incorrect inputs can produce a misleading result. Students should use the exact rank, category, quota and seat type shown in their official counselling documents.
2. How undergraduate cutoff audits are calculated
Step 1 — Find the relevant record
AdmiScan looks for a matching record for the selected counselling, institute, programme, category, quota, gender pool, seat region or seat type, depending on that counselling system.
Step 2 — Compare against historical evidence
The student’s rank is compared with the available opening or closing rank history. Round-wise movement and the gap between the student rank and historical cutoff are used to describe relative risk.
Step 3 — Audit the complete list
AdmiScan checks whether the list is concentrated only on highly competitive options, whether practical backups are missing, and whether any exact data match could not be found.
3. How Masters and MBA audits differ
Universities do not generally publish a single comparable closing rank for MS and MBA admissions. AdmiScan therefore does not present global application results as admission probabilities.
The audit checks available programme evidence together with academic readiness, relevant background, tests, budget, work experience, documents and application strategy. Missing programme-level verification remains visible as uncertainty.
4. What the result labels mean
Ambitious / Reach
The historical evidence is less favourable than the student’s current rank or profile. The choice can remain high in the preference list, but it should not be the only plan.
Realistic / Within historical range
The student’s inputs are reasonably close to relevant historical evidence. This is not a promise because cutoffs and selection decisions can move.
Lower historical cutoff risk
The available historical evidence is more favourable, but the result can still change because of seat availability, category rules and current-year demand.
Needs verification / Insufficient data
AdmiScan could not find enough exact, verified evidence. Missing data is shown as uncertainty rather than being treated as a positive result.
AdmiScan may use slightly different wording in different audit flows, but every label is decision-support based on available evidence—not a guaranteed allotment or acceptance.
5. Current data coverage
Coverage is maintained separately for each counselling and application type. The database review date is not the same as the counselling year.
Reviewed 10 July 2026
KCET
2025 counselling data
- Method
- Historical cutoff comparison
- Rounds
- Rounds 1–3
KCET results depend on an exact match between the selected college, programme, category, seat region and the historical round data available in AdmiScan.
COMEDK
2025 counselling data
- Method
- Historical cutoff comparison
- Rounds
- Rounds 1–4
Quota coverage differs by round because AdmiScan only displays the official rows currently available in the imported publications.
Karnataka NEET
2024 historical counselling data
- Method
- Historical cutoff comparison
- Rounds
- Available KEA UGNEET rounds currently imported
The NEET audit uses All India Rank together with the selected KEA category, seat type, course and college. Fee coverage is shown only where a verified record is available.
Kerala NEET
2025 CEE Kerala counselling data
- Method
- Historical cutoff comparison
- Rounds
- First, Second and Third Phase final last-rank tables
The Kerala audit uses 2,325 verified cutoff rows across 60 college codes from the official 2025 First, Second and Third Phase final last-rank tables. It compares the State Rank from the CEE Kerala State Medical Rank List with the matching college, course, category and quota group.
Maharashtra NEET
2025 Maharashtra NEET UG counselling data
- Method
- Historical cutoff comparison
- Rounds
- CAP Round 1, CAP Round 2, CAP Round 3
The Maharashtra audit combines official 2025 CAP Round 1, Round 2 and Round 3 allotments for government, government-aided and corporation MBBS/BDS colleges. Each opening and closing rank is derived from the minimum and maximum NEET AIR allotted to the exact college, programme, round and published allotment category.
Rajasthan NEET
2025 Rajasthan NEET UG counselling data
- Method
- Historical cutoff comparison
- Rounds
- Round 1, Round 2, Round 3, Stray Vacancy, Special Stray Vacancy
The Rajasthan audit uses 1,470 verified 2025 cutoff rows across 48 MBBS colleges and 116 verified tuition rows. It covers Round 1, Round 2, Round 3, Stray Vacancy and Special Stray Vacancy using NEET All India Rank.
Bihar NEET
2025 BCECEB UGMAC counselling data
- Method
- Historical cutoff comparison
- Rounds
- Round 1, Round 2, Revised Round 3, Stray Vacancy, Revised Special Stray Vacancy
The Bihar audit uses 579 verified 2025 cutoff rows across 24 MBBS colleges and 39 verified INR tuition rows. It covers Round 1, Round 2, revised Round 3, Stray Vacancy and revised Special Stray Vacancy using NEET All India Rank.
Gujarat NEET
2025 ACPUGMEC Gujarat counselling data
- Method
- Historical cutoff comparison
- Rounds
- Round 1, Round 2, Round 3, 4th Online Stray Vacancy, Special Stray, One More Special Stray
The Gujarat audit uses 1,569 verified 2025 MBBS cutoff rows across 41 colleges and six published allotment stages. It uses NEET All India Rank and keeps Government, Management, NRI, Local and PwD seat groups separate.
West Bengal NEET
2026 WBMCC Round 1 counselling data
- Method
- Historical cutoff comparison
- Rounds
- Round 1
The West Bengal audit currently uses 226 verified 2026 Round 1 MBBS cutoff rows across 40 colleges. Cutoffs are derived from 5,833 official WBMCC allotments using NEET All India Rank and the allotted seat category, not the candidate category.
Masters
Selected USA, UK and Germany programme database
- Method
- Programme evidence and readiness audit
- Rounds
- Not round-based
Masters admissions do not have a JoSAA-style public closing-rank system. AdmiScan therefore reports readiness, risk and missing evidence instead of claiming admission certainty.
MBA
Selected USA, UK and Germany programme database
- Method
- Programme evidence and readiness audit
- Rounds
- Not round-based
MBA outcomes depend on programme-specific selection, work impact, leadership evidence and application quality. AdmiScan reports risk and readiness rather than an admission probability.
6. Primary official sources
AdmiScan prioritises official counselling publications and official university programme pages. The following portals are important final-verification sources:
JoSAA ↗
Official opening and closing ranks for IIT, NIT, IIIT and GFTI counselling.
Karnataka Examinations Authority (KEA) ↗
Official KCET and Karnataka UGNEET notices, allotment and cutoff publications.
COMEDK ↗
Official COMEDK counselling, cutoff and related admission publications.
Medical Counselling Committee (MCC) ↗
Official All India NEET UG counselling information used for cross-checking where relevant.
For Masters and MBA programmes, students must verify the current entry requirements, prerequisites, tuition, deadlines and test policies on the university or business school’s official programme page.
7. Important limitations
- Cutoffs and seat availability can change substantially between years and rounds.
- New, renamed or discontinued programmes may not have comparable historical data.
- A wrong rank type, category, quota, gender pool or seat type can change the result.
- Special, spot, stray-vacancy and institute-level rounds may behave differently.
- Fees, deadlines, eligibility requirements and programme pages can change.
- Missing data is not proof that a choice is safe, realistic or eligible.
- The official counselling authority or university decision always overrides AdmiScan.
8. Report incorrect or outdated information
Please report the counselling, college or university, programme, category or quota, round and the result that appears incorrect. An official source link or screenshot is especially helpful.