CLAT Rank
Predictor 2027
Predict your expected CLAT 2027 rank and NLU chances using your score, category and domicile, backed by recent data and AI-powered analysis for better accuracy.
Enter your expected CLAT 2027 score
You can enter any value between 0 and 120 (decimals allowed)
Your Predicted CLAT Rank
How Does the CLAT Rank Predictor Work?
Use CLAT rank prediction tool to predict CLAT 2027 rank from your score, category and domicile using recent CLAT data, trends and AI-assisted analysis.
Enter Your Score
Add your expected or actual CLAT score along with basic details such as category, domicile and gender to begin your personalized rank prediction.
Verify Details
Complete a quick OTP verification to prevent spam and bulk usage. No registration is required, and your number is not used for sales calls.
AI-Powered Data Analysis
Our model studies three years of marks-vs-rank trends, cutoffs, seat matrix, difficulty levels and reservation factors to estimate your likely performance.
Get Your Prediction
Instantly view your predicted AIR range, likely NLU options and admission possibilities, along with useful insights that help you understand your realistic chances.
Free Resources by
CLAT Rank Predictor
Access essential CLAT 2027 resources in one place to check your performance, understand the paper, verify answers, and make better rank predictions.
CLAT 2027 Question Paper
Download the CLAT 2027 question paper to review the actual exam, revisit difficult questions, and calculate your score before using the rank predictor.
CLAT 2027 Answer Key
Use the CLAT 2027 answer key to verify your responses, calculate your expected score accurately, and get a more reliable predicted rank range.
CLAT 2027 Exam Analysis
Read the CLAT 2027 exam analysis to understand section-wise difficulty, question trends, expected score distribution, and how the paper may influence ranks.
Why Use This
CLAT 2027 Rank Predictor?
Built on Recent CLAT Data
Our predictions use the latest three years of CLAT marks-vs-rank trends, cutoffs, score distributions, and admission data instead of relying on outdated historical averages.
More Than Score-Based Prediction
The tool does not evaluate your CLAT score in isolation. It also considers category, domicile, gender, reservation rules, and other factors that influence NLU admission possibilities.
Difficulty-Level Adjusted
CLAT scores cannot be compared equally across different years. Our model accounts for variations in paper difficulty and candidate performance to generate a more realistic predicted rank range.
Latest NLU Admission Data
Predictions are supported by recent NLU cutoffs, closing ranks, seat matrices, and admission trends, helping you understand not only your expected AIR but also possible colleges.
Built by NLU Graduates
The tool has been developed with inputs from graduates of NLSIU Bangalore, NUJS Kolkata, and NLU Jodhpur who understand CLAT ranks, counselling, reservations, and NLU admissions.
Free, Independent and No Sales Calls
CLATRankPredictor.com is not a coaching institute. The tool is completely free, requires only OTP verification, and your contact number is never used for coaching or course-selling calls.
How Accurate is
CLAT Rank Predictor?
CLAT 2027 Rank Predictor is built to provide the most accurate CLAT rank prediction by combining recent exam data, admission trends, reservation factors, and AI-assisted analysis.
We analyse the latest three CLAT examination cycles, giving greater importance to recent trends that best represent the current competitive environment.
Historical marks-versus-rank datasets help identify how different score ranges translated into actual AIRs across recent CLAT examinations and changing difficulty levels.
Our prediction model considers variations in paper difficulty because the same CLAT score can correspond to significantly different ranks across different examination years.
Current NLU seat availability and reservation structures are considered while estimating your possible admission opportunities across National Law Universities after rank prediction.
Recent NLU cutoff and counselling closing-rank data help us assess which universities may realistically fall within your predicted CLAT rank range.
AI-assisted analysis combines multiple data points and historical patterns to provide a more refined prediction instead of relying on a simple marks-to-rank table.
Frequently Asked Questions About CLAT Rank Predictor
How Are CLAT Marks Converted into Rank by CLAT Rank Predictor?
Your CLAT score and CLAT rank are closely related, but there is no fixed formula that converts marks directly into an AIR.
For example, scoring 90 marks in one CLAT examination could result in a considerably better rank than scoring the same 90 marks in another year. This happens because CLAT rank is determined by your performance relative to other candidates, not simply by your total marks.
Consider this simplified example:
| CLAT Score | Exam Situation | Possible Rank Impact |
|---|---|---|
| 90 Marks | Difficult paper, fewer high scores | Better AIR |
| 90 Marks | Moderate paper | Moderate AIR |
| 90 Marks | Easier paper, many high scores | Lower AIR |
This is why a basic table saying “90 marks equals Rank X” cannot accurately predict your CLAT AIR every year.
Several factors determine how your CLAT marks translate into rank.
Paper Difficulty
The difficulty level of the CLAT paper has a major impact on score distribution. In a difficult examination, fewer students may cross higher score ranges. As a result, even a comparatively lower score can produce an excellent AIR.
If the paper is easier, more candidates may achieve high scores, increasing competition within every mark range.
Candidate Performance
CLAT is a competitive examination. Your rank depends not only on how many questions you answer correctly but also on how thousands of other candidates perform in the same examination.
Number of Candidates
The total number of students appearing for CLAT can influence how densely candidates are distributed across different rank ranges.
Score Distribution
Two CLAT papers can have similar average scores but very different distributions. In some years, thousands of candidates may be concentrated within a narrow marks range.
This is why even one or two marks can sometimes create a substantial difference in AIR.
Number of High Scorers
The number of candidates scoring at the top end of the examination is especially important. If significantly more students score 90+, competition for the highest ranks becomes much tighter.
Why CLAT Rank Predictor Uses Multiple Data Points?
Instead of assigning a fixed rank to every score, our CLAT Rank Predictor studies recent marks-vs-rank patterns, paper difficulty, candidate performance trends, NLU cutoffs, seat matrices, and admission data.
This allows the tool to provide a realistic predicted AIR range rather than presenting an artificially precise rank that cannot be guaranteed before the official CLAT results are declared.
CLAT Marks vs Rank: Last 3 Years Comparison
The relationship between CLAT marks and AIR changes every year depending on paper difficulty,
candidate performance and score distribution. Here is a comparative view of recent CLAT
trends.
| CLAT Marks | CLAT 2026 Approx. Rank | CLAT 2025 Approx. Rank | CLAT 2024 Approx. Rank |
|---|---|---|---|
| 105+ | Top 20 | Top 20 | Top 10 |
| 100–104.75 | 20–100 | 20–50 | 5–50 |
| 95–99.75 | 100–300 | 50–150 | 50–150 |
| 90–94.75 | 300–600 | 150–350 | 150–500 |
| 85–89.75 | 600–2,000 | 350–1,200 | 500–1,500 |
| 80–84.75 | 2,000–3,500 | 1,200–3,000 | 1,500–4,000 |
| 75–79.75 | 3,500–8,000 | 3,000–6,000 | 4,000–8,000 |
| 70–74.75 | 6,000–10,000 | 6,000–9,000 | 7,000–10,000 |
| 65–69.75 | 10,000–13,500 | 9,000–12,000 | 8,000–12,000 |
| 60–64.75 | 14,000–17,000 | 12,000–16,000 | 8,000–15,000 |
| Below 60 | 18,000+ | 16,000+ | 12,000+ |
Note: These rank ranges are indicative and based on historical CLAT result trends, reported marks-vs-rank datasets and candidate performance. Actual AIR can vary substantially each year.
CLAT 2027 Marks vs Rank
| CLAT 2027 Score | Expected Rank Range |
|---|---|
| 100+ | AIR 1 – 50 |
| 95–99.75 | AIR 50 – 500 |
| 90–94.75 | AIR 500 – 1,500 |
| 85–89.75 | AIR 1,500 – 3,000 |
| 80–84.75 | AIR 3,000 – 5,000 |
| 75–79.75 | AIR 5,000 – 7,000 |
| 65–74.75 | AIR 7,000 – 10,000 |
| Below 65 | AIR 12,000+ |
Want a prediction based on your exact score, category and domicile?
Use the CLAT Rank Predictor →
What Affects Your CLAT 2027 Rank?
Your CLAT AIR is not decided by marks alone. Several factors influence where a particular score finally places you in the overall ranking.
Your CLAT Score
Your total score remains the biggest factor affecting AIR. Higher marks generally result in a better rank, but the exact relationship changes every year.
CLAT 2027 Paper Difficulty
A difficult CLAT paper lowers overall scores, while an easier paper can produce more high scorers and tighter competition across the top rank ranges.
Overall Candidate Performance
Your rank depends on how other candidates perform. Even a strong score may produce a lower-than-expected AIR if a large number of students score higher.
Score Distribution
The concentration of candidates within particular score bands matters. When thousands of students are separated by only a few marks, small score differences can significantly affect rank.
Number of High Scorers
A higher number of candidates scoring at the top end of the paper can push the same marks further down the rank list compared with another year.
Number of Candidates
Changes in the total number of test-takers can influence competition and rank density, especially across middle and lower score ranges.
Category
Your category does not change your overall AIR, but it can significantly affect category rank, cutoff requirements and your admission chances at different NLUs.
Domicile and Reservation
State domicile, gender-based reservation and university-specific reservation rules can improve your chances at certain NLUs even when your overall AIR remains unchanged.
CLAT 2027 Rank Predictor Built by NLU Graduates, for CLAT Aspirants
CLATRankPredictor.com has been developed by graduates of NLSIU Bangalore, NUJS Kolkata and NLU Jodhpur. Each of them has experienced the uncertainty that surrounds CLAT results, cutoffs, counselling and NLU preferences from the student side.
One of the biggest problems aspirants face is that immediately after calculating their expected CLAT score, they want answers to very simple questions:
- What rank could I get?
- Which NLU can I realistically expect?
- Should I change my counselling preferences?
- Is this score actually good enough?
Most available CLAT rank prediction tools provide a generic score-to-rank conversion or exist primarily as lead-generation forms for coaching institutes. Students often enter their contact details to check a prediction and then begin receiving counselling or course-selling calls.
We wanted to build something different.
This CLAT Rank Predictor tool is an independent platform created specifically to help aspirants understand their likely position using recent and relevant data. The prediction model studies the latest three years of CLAT trends, including marks-vs-rank relationships, NLU cutoffs, seat matrices, exam difficulty and admission patterns.
The goal is not to promise an exact rank before official results are declared. It is to give aspirants a realistic range and enough context to make better decisions.
The tool is completely free. There is no coaching program attached to it, and students are not called to sell courses after using the predictor. Mobile OTP verification is used only to prevent spam and automated bulk usage.
Our larger goal is to make CLAT rank and admission information easier to understand, more transparent and more useful at the exact moment students need it most.
Who Should Use the CLAT Rank Predictor 2027?
The CLAT Rank Predictor is useful at different stages of the preparation and admission journey, not only after the examination.
CLAT 2027 Students
Students preparing for CLAT 2027 can enter their mock-test scores to understand what rank range their current performance may correspond to.
Students Evaluating NLU Chances
If you want to understand which NLUs may fall within your expected rank range, the tool can provide probable college and admission insights.
Students Planning Counselling
Use your predicted rank, category, domicile and NLU probability to build a more informed counselling preference list and evaluate realistic options.
Parents of CLAT Aspirants
Parents can also use the tool to better understand what a student's expected score may mean in terms of rank and possible NLU admission opportunities.
Aspirants Comparing Mock Performance
Students can use different mock scores to understand how improvements of a few marks may potentially change their expected rank range and NLU possibilities.
Ready to Know Your CLAT 2027 Rank?
Want a prediction based on your exact score, category and domicile? Use the free CLAT Rank Predictor — predict now, plan smarter.
