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NIRF 2026 Rank & Score Predictor

Enter your institution's data and get an instant NIRF 2026 rank prediction — with a parameter-wise gap analysis and improvement roadmap from RAYSolute's Higher Ed consultants.

90% Confidence Bands · Score MAE: 1.4–2.1 pts · 11 Categories · 680+ Institutions · Quick Estimator for ALL HEIs
Select Institution
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First-time or recent NIRF participants: If you are participating in NIRF for the first time or have just started participating in recent years, your institution's name may not reflect in this predictor. Please reach out to aurobindo@raysolute.com for a bespoke rank and score prediction tailored to your institution.
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Quick Score Estimator

ALL INSTITUTIONS
Not in the top 100 list? No problem. Enter your institution's NIRF parameter scores below to estimate your weighted total score and approximate rank or rank-band. Works for all 7,600+ institutions that participate in NIRF — ranked or unranked.
Weighted Score
out of 100
Estimated Rank
Rank Band
2025 Cutoff
Predicted Score 2026
Predicted Rank 2026
Score Change
vs 2025 actual
2025 Rank
actual
Score Trajectory
← Historical Scores → Predicted 2026 (striped)
Score Band (90% Confidence)
🎛️ What If Analysis
Not satisfied with the predicted score? Adjust the 5 NIRF parameters below to see how different scores would affect your overall ranking. Use this to set improvement targets.
TLR
Weight: 30%
+15.00
RPC
Weight: 30%
+15.00
GO
Weight: 20%
+10.00
OI
Weight: 10%
+5.00
Perception
Weight: 10%
+5.00
What-If Score
50.00
Estimated Rank
#—
in this category
vs Predicted
+0.00
score difference
Rank Change
positions
Score Contribution Breakdown
TLR
RPC
GO
OI
PR
TLR: 15.00
RPC: 15.00
GO: 10.00
OI: 5.00
PR: 5.00
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Want to actually achieve this score? RAYSolute's NIRF Consulting team can help you build a data-backed improvement roadmap. Learn about our NIRF 2026 services →
FAQs

Frequently Asked Questions

The NIRF Rank Predictor uses the official NIRF 2026 weightages — Teaching-Learning & Resources (30%), Research & Professional Practice (30%), Graduation Outcomes (20%), Outreach & Inclusivity (10%), and Perception (10%) — to compute your composite score and estimate your rank band against published NIRF 2025 data.

Yes. RAYSolute's NIRF Rank Predictor is completely free. Enter your institution's data for each parameter and get an instant rank estimate with a parameter-wise gap analysis.

The predictor is accurate to ±20 rank positions for institutions scoring between 40–80 on the composite scale. Accuracy is lower for institutions below rank 200, where peer clustering is high. For a precise improvement roadmap, RAYSolute's NIRF consulting engagement includes a detailed diagnostic.

You need: faculty count and qualifications (for TLR), PhD and publication data (for RP), placement and higher studies rates (for GO), diversity metrics and outreach programmes (for OI), and perception survey references. Most data is available from your IQAC office.

NIRF 2026 data submission typically opens in October–November and closes in January. Final ranks are announced in June. RAYSolute recommends beginning NIRF preparation at least 6 months before the submission window.

⚠ Disclaimer: This is a prediction tool and may generate results that differ from actual NIRF outcomes. While all precautions have been taken and rigorous checks & balances are in place to ensure accuracy, no prediction model is infallible. The results should be used for indicative and planning purposes only.

If you have noticed any discrepancies, please let us know so that we can further refine our model.

We do not intend to cause any harm, nor do we have any mala fide intentions against any Indian Higher Education Institution (HEI). This tool is built in the spirit of transparency, research, and the betterment of India's higher education ecosystem.