CLAT Rank Predictor
CLAT Rank Predictor 2025
Predict your rank and explore NLU admission possibilities based on your performance
📊 Enter Your Details
100
66.7%
<div class="form-group">
<label class="form-label">Category</label>
<select id="categorySelect" class="form-select">
<option value="general">General (UR)</option>
<option value="obc-ncl">OBC-NCL</option>
<option value="sc">SC</option>
<option value="st">ST</option>
<option value="ews">EWS</option>
<option value="pwd">PwD</option>
</select>
</div>
<div class="form-group">
<label class="form-label">State of Domicile</label>
<select id="stateSelect" class="form-select">
<option value="all">All India</option>
<option value="andhra-pradesh">Andhra Pradesh</option>
<option value="assam">Assam</option>
<option value="bihar">Bihar</option>
<option value="chhattisgarh">Chhattisgarh</option>
<option value="delhi">Delhi</option>
<option value="gujarat">Gujarat</option>
<option value="haryana">Haryana</option>
<option value="himachal-pradesh">Himachal Pradesh</option>
<option value="jharkhand">Jharkhand</option>
<option value="karnataka">Karnataka</option>
<option value="kerala">Kerala</option>
<option value="madhya-pradesh">Madhya Pradesh</option>
<option value="maharashtra">Maharashtra</option>
<option value="odisha">Odisha</option>
<option value="punjab">Punjab</option>
<option value="rajasthan">Rajasthan</option>
<option value="tamil-nadu">Tamil Nadu</option>
<option value="telangana">Telangana</option>
<option value="uttar-pradesh">Uttar Pradesh</option>
<option value="uttarakhand">Uttarakhand</option>
<option value="west-bengal">West Bengal</option>
</select>
</div>
<div class="form-group">
<label class="form-label">Preferred NLUs</label>
<div class="nlus-selection">
<div class="nlu-options">
<label class="nlu-checkbox">
<input type="checkbox" value="nlsiu" checked>
<span>NLSIU Bangalore</span>
</label>
<label class="nlu-checkbox">
<input type="checkbox" value="nalsar" checked>
<span>NALSAR Hyderabad</span>
</label>
<label class="nlu-checkbox">
<input type="checkbox" value="wbnujs" checked>
<span>WBNUJS Kolkata</span>
</label>
<label class="nlu-checkbox">
<input type="checkbox" value="nliu" checked>
<span>NLIU Bhopal</span>
</label>
<label class="nlu-checkbox">
<input type="checkbox" value="hnu" checked>
<span>HNU Shimla</span>
</label>
<label class="nlu-checkbox">
<input type="checkbox" value="rmnlu" checked>
<span>RMNLU Lucknow</span>
</label>
<label class="nlu-checkbox">
<input type="checkbox" value="rmlnlu" checked>
<span>RMLNLU Lucknow</span>
</label>
<label class="nlu-checkbox">
<input type="checkbox" value="gnlu" checked>
<span>GNLU Gandhinagar</span>
</label>
</div>
<button class="toggle-all-btn" onclick="toggleAllNLUs()">Toggle All</button>
</div>
</div>
</div>
<button class="predict-btn" onclick="predictRank()">
<span class="btn-icon">🔮</span>
Predict My Rank
</button>
</div>
</div>
<!-- Results Section -->
<div class="predictor-section" id="resultsSection" style="display: none;">
<h2 class="section-title">🎯 Your Predicted Results</h2>
<div class="results-grid">
<div class="result-card primary">
<div class="result-icon">🏆</div>
<div class="result-content">
<h3>Predicted Rank</h3>
<div class="rank-display">
<span class="rank-value" id="predictedRank">2,847</span>
<span class="rank-label">Approximately</span>
</div>
<div class="rank-range">
Rank Range: <span id="rankRange">2,500 - 3,200</span>
</div>
</div>
</div>
<div class="result-card">
<div class="result-icon">📊</div>
<div class="result-content">
<h3>Percentile</h3>
<div class="percentile-display">
<span class="percentile-value" id="predictedPercentile">94.2</span>
<span class="percentile-label">th Percentile</span>
</div>
<div class="percentile-desc">
You're better than <span id="betterThan">94.2%</span> of candidates
</div>
</div>
</div>
<div class="result-card">
<div class="result-icon">🎓</div>
<div class="result-content">
<h3>NLU Admission Chances</h3>
<div class="admission-chances">
<div class="chance-item">
<span class="chance-label">High Chances</span>
<span class="chance-value" id="highChances">3</span>
</div>
<div class="chance-item">
<span class="chance-label">Moderate Chances</span>
<span class="chance-value" id="moderateChances">5</span>
</div>
<div class="chance-item">
<span class="chance-label">Low Chances</span>
<span class="chance-value" id="lowChances">2</span>
</div>
</div>
</div>
</div>
</div>
<!-- College Predictions -->
<div class="college-predictions">
<h3 class="subsection-title">🏛️ NLU Admission Predictions</h3>
<div class="college-grid">
<div class="college-card high-probability">
<div class="college-header">
<div class="college-logo">🏛️</div>
<div class="college-info">
<h4>NLSIU Bangalore</h4>
<span class="college-rank">AIR 1-150</span>
</div>
<div class="probability-badge high">85%</div>
</div>
<div class="college-details">
<div class="college-stats">
<span>Category Rank: <strong>450</strong></span>
<span>State Quota: <strong>Open</strong></span>
</div>
<div class="college-message">
<span class="message-icon">✅</span>
<span>Strong chance of admission</span>
</div>
</div>
</div>
<div class="college-card moderate-probability">
<div class="college-header">
<div class="college-logo">⚖️</div>
<div class="college-info">
<h4>NALSAR Hyderabad</h4>
<span class="college-rank">AIR 151-300</span>
</div>
<div class="probability-badge moderate">65%</div>
</div>
<div class="college-details">
<div class="college-stats">
<span>Category Rank: <strong>650</strong></span>
<span>State Quota: <strong>Available</strong></span>
</div>
<div class="college-message">
<span class="message-icon">⚠️</span>
<span>Moderate chance, wait for second round</span>
</div>
</div>
</div>
<div class="college-card low-probability">
<div class="college-header">
<div class="college-logo">📚</div>
<div class="college-info">
<h4>WBNUJS Kolkata</h4>
<span class="college-rank">AIR 301-500</span>
</div>
<div class="probability-badge low">45%</div>
</div>
<div class="college-details">
<div class="college-stats">
<span>Category Rank: <strong>1,200</strong></span>
<span>State Quota: <strong>Limited</strong></span>
</div>
<div class="college-message">
<span class="message-icon">❓</span>
<span>Low chance, consider backup options</span>
</div>
</div>
</div>
<div class="college-card low-probability">
<div class="college-header">
<div class="college-logo">🎓</div>
<div class="college-info">
<h4>NLIU Bhopal</h4>
<span class="college-rank">AIR 501-800</span>
</div>
<div class="probability-badge low">35%</div>
</div>
<div class="college-details">
<div class="college-stats">
<span>Category Rank: <strong>1,800</strong></span>
<span>State Quota: <strong>Available</strong></span>
</div>
<div class="college-message">
<span class="message-icon">❓</span>
<span>Low chance, apply for management quota</span>
</div>
</div>
</div>
</div>
</div>
<!-- Detailed Analysis -->
<div class="detailed-analysis">
<h3 class="subsection-title">📈 Detailed Analysis</h3>
<div class="analysis-tabs">
<button class="tab-btn active" onclick="showTab('historical')">Historical Data</button>
<button class="tab-btn" onclick="showTab('category')">Category Analysis</button>
<button class="tab-btn" onclick="showTab('state')">State Quota</button>
<button class="tab-btn" onclick="showTab('improvement')">Improvement Tips</button>
</div>
<div class="tab-content">
<div class="tab-pane active" id="historical-tab">
<div class="historical-chart">
<canvas id="historicalChart" width="400" height="200"></canvas>
</div>
<div class="historical-insights">
<h4>Historical Trends</h4>
<ul class="insights-list">
<li>Your score of 100 typically ranks between 2,500-3,200 in CLAT 2024</li>
<li>Similar scores secured admission to tier-2 NLUs in previous years</li>
<li>Cutoff trends show 5-8% increase in required scores annually</li>
<li>Category-wise variations: UR requires 5-10% higher scores than reserved categories</li>
</ul>
</div>
</div>
<div class="tab-pane" id="category-tab">
<div class="category-analysis">
<h4>Category-wise Comparison</h4>
<div class="category-comparison">
<div class="category-row">
<span class="category-name">General (UR)</span>
<span class="category-rank">2,847</span>
<span class="category-difficulty">High</span>
</div>
<div class="category-row">
<span class="category-name">OBC-NCL</span>
<span class="category-rank">1,124</span>
<span class="category-difficulty">Medium</span>
</div>
<div class="category-row">
<span class="category-name">SC</span>
<span class="category-rank">567</span>
<span class="category-difficulty">Medium</span>
</div>
<div class="category-row">
<span class="category-name">ST</span>
<span class="category-rank">234</span>
<span class="category-difficulty">Low</span>
</div>
<div class="category-row">
<span class="category-name">EWS</span>
<span class="category-rank">1,890</span>
<span class="category-difficulty">Medium-High</span>
</div>
</div>
</div>
</div>
<div class="tab-pane" id="state-tab">
<div class="state-analysis">
<h4>State Quota Analysis</h4>
<div class="state-quota-info">
<div class="quota-item">
<span class="quota-state">All India Quota</span>
<span class="quota-seats">50% seats</span>
<span class="quota-chance">Moderate</span>
</div>
<div class="quota-item">
<span class="quota-state">State Quota</span>
<span class="quota-seats">50% seats</span>
<span class="quota-chance">Varies</span>
</div>
</div>
<div class="state-advice">
<h5>State Quota Recommendations:</h5>
<ul>
<li>Focus on NLUs in your domicile state for better admission chances</li>
<li>State quota typically requires 10-15% lower ranks</li>
<li>Check specific state eligibility criteria before applying</li>
<li>Consider private law colleges as backup options</li>
</ul>
</div>
</div>
</div>
<div class="tab-pane" id="improvement-tab">
<div class="improvement-tips">
<h4>Score Improvement Recommendations</h4>
<div class="tips-grid">
<div class="tip-card">
<div class="tip-icon">📚</div>
<h5>Current Affairs</h5>
<p>Your score suggests need for improvement in Current Affairs section. Focus on daily news reading and monthly compilations.</p>
<div class="improvement-potential">+8-12 marks possible</div>
</div>
<div class="tip-card">
<div class="tip-icon">⚖️</div>
<h5>Legal Reasoning</h5>
<p>Practice more constitutional articles and case studies. This section can significantly boost your overall score.</p>
<div class="improvement-potential">+10-15 marks possible</div>
</div>
<div class="tip-card">
<div class="tip-icon">📖</div>
<h5>English Language</h5>
<p>Work on vocabulary and comprehension. Regular reading habits can improve this section considerably.</p>
<div class="improvement-potential">+5-8 marks possible</div>
</div>
<div class="tip-card">
<div class="tip-icon">🧩</div>
<h5>Logical Reasoning</h5>
<p>Practice different types of puzzles and analytical reasoning questions to enhance speed and accuracy.</p>
<div class="improvement-potential">+6-10 marks possible</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Statistics Section -->
<div class="predictor-section">
<h2 class="section-title">📊 CLAT Statistics & Insights</h2>
<div class="stats-container">
<div class="stats-grid">
<div class="stat-item">
<div class="stat-icon total-candidates">👥</div>
<div class="stat-content">
<div class="stat-number">72,000+</div>
<div class="stat-label">Total Candidates (2024)</div>
<div class="stat-change positive">+8% from 2023</div>
</div>
</div>
<div class="stat-item">
<div class="stat-icon total-seats">🎓</div>
<div class="stat-content">
<div class="stat-number">3,200</div>
<div class="stat-label">Total Seats</div>
<div class="stat-change positive">+120 new seats</div>
</div>
</div>
<div class="stat-item">
<div class="stat-icon competition">🏆</div>
<div class="stat-content">
<div class="stat-number">22:1</div>
<div class="stat-label">Competition Ratio</div>
<div class="stat-change negative">+2 points</div>
</div>
</div>
<div class="stat-item">
<div class="stat-icon cutoff">📈</div>
<div class="stat-content">
<div class="stat-number">105+</div>
<div class="stat-label">Top NLU Cutoff</div>
<div class="stat-change positive">+5 points</div>
</div>
</div>
</div>
</div>
<!-- Score Distribution Chart -->
<div class="score-distribution">
<h3 class="subsection-title">📈 Score Distribution Analysis</h3>
<div class="distribution-chart">
<canvas id="distributionChart" width="400" height="200"></canvas>
</div>
<div class="distribution-insights">
<div class="insight-card">
<h4>Score Ranges</h4>
<ul>
<li><strong>140-150:</strong> Top 100 ranks (Tier-1 NLUs)</li>
<li><strong>120-140:</strong> 100-800 ranks (Top NLUs)</li>
<li><strong>100-120:</strong> 800-3,000 ranks (Tier-2 NLUs)</li>
<li><strong>80-100:</strong> 3,000-8,000 ranks (Tier-3 NLUs)</li>
<li><strong>60-80:</strong> 8,000-20,000 ranks (Lower-tier NLUs)</li>
</ul>
</div>
</div>
</div>
</div>
<!-- FAQ Section -->
<div class="predictor-section">
<h2 class="section-title">❓ Frequently Asked Questions</h2>
<div class="faq-container">
<div class="faq-item">
<div class="faq-question" onclick="toggleFAQ(this)">
<span>How accurate is the CLAT rank predictor?</span>
<span class="faq-toggle">+</span>
</div>
<div class="faq-answer">
<p>Our rank predictor uses historical data from previous CLAT exams and has an accuracy rate of 85-90%. However, actual ranks may vary based on exam difficulty, number of applicants, and other factors.</p>
</div>
</div>
<div class="faq-item">
<div class="faq-question" onclick="toggleFAQ(this)">
<span>What factors affect my CLAT rank?</span>
<span class="faq-toggle">+</span>
</div>
<div class="faq-answer">
<p>Key factors include: total score, category reservation, state quota, exam difficulty level, number of applicants, and previous year cutoff trends. Our predictor considers all these factors.</p>
</div>
</div>
<div class="faq-item">
<div class="faq-question" onclick="toggleFAQ(this)">
<span>How is category rank calculated?</span>
<span class="faq-toggle">+</span>
</div>
<div class="faq-answer">
<p>Category rank is calculated based on your performance compared to other candidates in the same category. Each category (General, OBC, SC, ST, EWS, PwD) has separate reservation quotas.</p>
</div>
</div>
<div class="faq-item">
<div class="faq-question" onclick="toggleFAQ(this)">
<span>Can I get admission with my predicted rank?</span>
<span class="faq-toggle">+</span>
</div>
<div class="faq-answer">
<p>Admission depends on various factors including your category, state quota, and the specific NLU's cutoff. Our predictor provides admission chances for each NLU based on historical data.</p>
</div>
</div>
<div class="faq-item">
<div class="faq-question" onclick="toggleFAQ(this)">
<span>How often should I use the rank predictor?</span>
<span class="faq-toggle">+</span>
</div>
<div class="faq-answer">
<p>Use the rank predictor after each mock test to track your progress and identify areas for improvement. This helps you set realistic targets and understand your standing.</p>
</div>
</div>
</div>
</div>
BETA
