VITEEE Rank Predictor 2026 is a crucial tool designed to estimate your potential rank in the VITEEE exam, which is scheduled from April 28 to May 3, 2026. By inputting your expected marks or score, this free tool leverages previous year's trends and 2025 cutoff data to provide an estimated rank and assess your admission chances across VIT's four campuses and various B.Tech branches.
Table of Contents
VITEEE Rank Predictor 2026: Estimate Your Rank from Marks
A VITEEE Rank Predictor is an essential tool designed to estimate a student's potential rank in the VITEEE based on their performance (marks/score) in the exam. This section details its function, inputs, outputs, and provides an estimated rank-to-marks table for VITEEE 2026.
| Score (out of 500) | Expected Rank |
|---|---|
| 450+ | Under 100 |
| 400–450 | Under 1,000 |
| 350–400 | 1,000–5,000 |
| 300–350 | 5,000–12,000 |
| 250–300 | 12,000–25,000 |
| 200–250 | 25,000–40,000 |
| Below 200 | 40,000+ |
This estimated table illustrates the general correlation between scores and potential ranks in VITEEE 2026, helping students gauge their performance and manage expectations for admission.
Step-by-Step Guide: Using the VITEEE 2026 Rank Predictor Tool
To effectively use a VITEEE Rank Predictor 2026 tool, applicants can follow specific steps provided by various platforms. These tools help estimate your potential rank or admission chances based on your exam details, marks, or expected scores, offering valuable insights for counselling and preferences.
Phodu Club VITEEE Rank Predictor:
- Step 1: Visit the Phodu Club website and find the VITEEE or engineering entrance exams section.
- Step 2: Locate and click the “VITEEE Rank Predictor” link or a similar button to access the tool.
- Step 3: Accurately fill in fields for your VITEEE exam details, marks, category, and other required information.
- Step 4: Click the “Predict Rank” button to process your data and generate your predicted rank.
- Step 5: The predictor will then display your estimated rank, which may be a range or a specific value.
VIT Ranks Predictor:
- Step 1: Enter your received or expected VITEEE rank, ranging from 1 to 2,00,000.
- Step 2: Pick analysis for estimated marks and campuses, or counselling for a sortable course list.
- Step 3: Set preferences by filtering branch family, minimum fee category (1 to 5), and desired VIT campuses.
- Step 4: Reorder rows to build preferences, copy the URL to share, and download a PDF.
findmycollege.com VITEEE College Predictor:
- Step 1: Input your expected or actual VITEEE 2026 rank or raw score for analysis.
- Step 2: Select your preferred VIT campus (Vellore, Chennai, AP, Bhopal) and B.Tech engineering branches.
- Step 3: Get instant, personalized admission predictions for campuses and branches with high chances.
VITEEE Marks vs Rank Analysis 2026: Score to Expected Rank Correlation
The VITEEE Rank Predictor 2026 provides estimated marks, eligible campuses, and a domain-wise breakdown. While VITEEE 2025 used equi-percentile normalisation, making exact marks-to-rank correlations estimates, this analysis is based on previous trends to help predict your expected rank.
| VITEEE 2026 Marks | VITEEE 2026 Ranks (Expected) |
|---|---|
| 118+ | 1 - 250 |
| 113 -117 | 250 - 500 |
| 90 - 113 | 2,500 - 501 |
| 81 - 90 | 5,000 -2,501 |
| 72 - 81 | 5,001 - 6,500 |
| 60 - 72 | 6,501 - 8,500 |
| 43 - 60 | 8,501 - 11,000 |
| 31 - 43 | 15,001 -20,000 |
| Less than 31 | 20,000 |
This table, based on previous year's VITEEE cut-off, results, and trends, indicates that scoring 118+ marks can secure a rank within the top 250, often guaranteeing a seat in high-demand branches like Computer Science (CSE). A general score of 120+ marks is considered good for admission.
VITEEE 2026 Campus-wise Prediction: Vellore, Chennai, AP, Bhopal Cutoffs
This VITEEE Rank Predictor 2026 provides campus-wise cutoff predictions based on publicly scraped 2025 data, not official VIT figures. Eligibility for all four campuses (Vellore, Chennai, AP, Bhopal) extends to ranks up to 1,00,000, while ranks above 1,00,000 are eligible for VIT AP and VIT Bhopal only.
| Branch | Cat 1 | Cat 2 | Cat 3 | Cat 4 | Cat 5 |
|---|---|---|---|---|---|
| Computer Science | 660 | 3,100 | 8,300 | 15,000 | 37,650 |
| CS (AI and ML) | 780 | 3,460 | 9,400 | 16,000 | 38,300 |
| CS (AI and Data Engg) | 960 | 3,600 | 9,700 | 16,000 | 39,000 |
| CS (Data Science) | 1,280 | 3,700 | 9,950 | 16,250 | 39,500 |
| CS (Cybersecurity) | 2,000 | 3,850 | 10,000 | 16,300 | 40,500 |
| CSBS (With TCS) | 3,900 | 12,000 | 14,000 | 20,500 | 42,000 |
| IT | 2,000 | 4,000 | 10,000 | 16,500 | 42,000 |
| ECE | 1,450 | 6,250 | 17,650 | 21,500 | 44,500 |
| Electronics Engg (VLSI) | 2,125 | 9,500 | 20,000 | 25,000 | 46,000 |
| Electrical & CS | 4,800 | 12,500 | 20,000 | 30,000 | 46,500 |
| MECH | 14,200 | 23,500 | 33,000 | 45,500 | 57,500 |
| CIVIL | 19,500 | 26,500 | 36,600 | 48,000 | 61,000 |
VIT Vellore remains the most preferred campus, showing the toughest competition with CSE 2025 cutoffs ranging from 600 for Cat 1 to 31,500 for Cat 5, reflecting its high demand.
| Branch | Cat 1 | Cat 2 | Cat 3 | Cat 4 | Cat 5 |
|---|---|---|---|---|---|
| Computer Science | 3,300 | 6,100 | 15,600 | 25,200 | 50,000 |
| CS with AI and ML | 3,450 | 12,500 | 16,300 | 28,600 | 41,500 |
| CS with DS | 4,140 | 15,750 | 17,300 | 29,500 | 42,700 |
| CS with Cybersecurity | 8,150 | 16,200 | 17,400 | 31,500 | 42,000 |
| CS – Quantum Computing | 8,300 | 17,800 | 24,000 | 39,000 | 46,200 |
| ECE | 7,150 | 19,800 | 21,500 | 25,500 | 36,700 |
| Electrical and Computer | 11,200 | 28,000 | 31,500 | 35,000 | 52,000 |
VIT Chennai remains a strong second choice, with its CSE 2025 cutoffs at 3,100 for Cat 1 and 32,500 for Cat 5, indicating competitive but more reachable admission trends.
| Branch | Expected Closing Rank |
|---|---|
| CSE | Up to 45,000 |
| AI & Data Science | Up to 50,000 |
| ECE | Up to 60,000 |
| Mechanical Engineering | Up to 80,000 |
| Civil Engineering | Up to 1,00,000 |
VIT AP offers wide rank access with comparatively relaxed cutoff trends, exemplified by its CSE 2025 cutoffs of 28,000 for Cat 1 and 1,05,000 for Cat 5.
| Branch | Expected Rank |
|---|---|
| CSE | Up to 70,000 |
| AI & ML | Up to 75,000 |
| ECE | Up to 90,000 |
| Mechanical | Up to 1,20,000 |
| Civil Engineering | Up to 1,50,000 |
VIT Bhopal is the most forgiving at higher ranks, serving as a clean fallback for those above 1,00,000, with CSE 2025 cutoffs at 30,000 for Cat 1 and 1,10,000 for Cat 5.
| Institute | Approximate Cutoff Required for 85 Percentile |
|---|---|
| VIT Chennai | 98,500 |
| VIT Bhopal University | 43,000 |
| VIT-AP University | 43,000 |
| Vellore Institute of Technology | 22,500 |
This table highlights the approximate cutoffs required for an 85 percentile across different VIT campuses, providing another perspective for the VITEEE Rank Predictor 2026.
Frequently Asked Questions
How can I estimate my VITEEE rank from my marks?
For VITEEE 2026, 470-500 marks could yield a 1-250 rank, and over 450 marks are needed for a rank under 750, based on previous trends. This analysis helps estimate your probable rank.
What marks correspond to which VITEEE rank?
For VITEEE 2026, 470-500 marks are likely to achieve a 1-250 rank. Over 400 marks could secure a rank under 2,500, while 200-280 marks may result in a 20,000-40,000 rank.
What is VITEEE Rank Predictor 2026?
The VITEEE Rank Predictor 2026 is a free tool that uses your expected 2026 rank and 2025 cutoff data to estimate admission chances at VIT's four campuses and B.Tech branches across 5 fee categories.
What are the eligibility requirements for VITEEE Rank Predictor 2026?
To use the VITEEE Rank Predictor 2026, candidates must have appeared for the VITEEE 2026 exam, conducted from April 28 to May 3, 2026, and possess their exam performance data.
How do I apply for VITEEE Rank Predictor 2026?
To apply for the VITEEE Rank Predictor 2026, register on a college predictor platform and enter your VITEEE 2026 rank or score.
What is the application timeline for VITEEE Rank Predictor 2026?
The VITEEE Rank Predictor 2026 is typically available for use after the exam, allowing candidates to estimate their ranks based on expected scores.




