NIFT Predictor 2026 — Estimate Your Rank & Admission Chances
Fast, data-driven rank estimates using historical cutoffs.
Email results & recommended next steps (college shortlists).
Category & campus-specific predictions with clear rank ranges.
Use this short sentence in meta/OG: NIFT Predictor 2026 — Get instant, data-backed rank estimates and tailored college suggestions based on your score or percentile.
About Xavier Aptitude Test (XAT)
The Xavier Aptitude Test (XAT) is one of India’s most prestigious national-level management entrance examinations conducted annually by XLRI Jamshedpur for admission into MBA, PGDM, and other management programs. For over seven decades, XAT has served as a gateway to some of the top B-schools across the country, including XLRI, XIMB, IMT, TAPMI, FORE, and more than 150+ institutes that accept XAT scores. The exam evaluates candidates on multiple parameters, such as verbal & logical ability, quantitative aptitude, decision-making skills, and general knowledge, making it one of the most comprehensive and analytical management tests in India.
Known for its unique decision-making section and unpredictable difficulty level, XAT challenges aspirants to demonstrate real-world problem-solving abilities. Conducted in January every year, the exam is computer-based and attracts lakhs of students seeking admission to premier B-schools. The results are used not only for admission but also for shortlisting candidates for GD, PI, and WAT rounds. With a strong focus on critical reasoning and managerial aptitude, XAT remains a preferred exam for students aiming for rigorous and high-quality management education.
| Aditya | TYAGI | Singh | Arjun | QA | QA | 10 |
| 12 | 3 | 3 | 5 | 6 | 10 | 9 |
| 8 | 4 | 31311 | 8 | 7 | 8 | 8 |
| 12 | 3 | 234231 | 1 | 332 | 32 | 2
|
such as verbal & logical ability, quantitative aptitude, decision-making skills, and general knowledge, making it one of the most comprehensive and analytical management tests in India. Known for its unique decision-making section and unpredictable difficulty level, XAT challenges aspirants to demonstrate real-world problem-solving abilities. Conducted in January every year, the exam is computer-based and attracts lakhs of students seeking admission to premier B-schools. The results are used not only for admission but also for shortlisting candidates for GD, PI, and WAT rounds. With a strong focus on critical reasoning and managerial aptitude, XAT remains a preferred exam for students aiming for rigorous and high-quality management education.
The XAT Result Predictor
| qa | product | qa | tech | qa | qa |
| 1 | 76 | 6 | 6 | 6 | 7 |
| 8 | 9 | 7 | 6 | 5 | 5 |
The XAT Result Predictor is a powerful online tool designed for students preparing for the Xavier Aptitude Test (XAT), enabling them to estimate their expected rank or percentile even before the official results are out. By entering details such as their XAT percentile or raw score, along with category (General/OBC/SC/ST) and disability status (if applicable), the predictor uses historical data and statistical models to simulate what their likely All-India Rank .
| Ad | it | y | 12 |
| 1 | 2 | 4 | a |
| ghg | 7627 | 737 | 76237 | 652 |
| hguy | yg | yg | yg | yg |
| ygy | fy | fyu | fyf | |
| fy | fy | fy | fy | |
| fyg | yg | gf | 12 |
Aditya Pratap Singh is a dedicated Quality Assurance Engineer with hands-on experience in testing CMS platforms, automation workflows, result prediction tools, and large-scale educational data systems. With a strong background in frontend and backend testing, Aditya has worked extensively on complex modules like Rank Predictors, Web Stories, Polls, and Career Eligibility Mapping. His expertise spans manual testing, API testing, automation fundamentals, and QA strategy development.
He is known for his detailed analysis, structured test-case design, and ability to identify hidden edge-case issues in production-heavy environments. Aditya is also enthusiastic about learning emerging technologies such as AI in QA, Python-based automation, and data validation tools to enhance product reliability.
Passionate about delivering high-quality user experiences, he ensures that every feature—from input forms to result pages—works seamlessly and aligns with business requirements. His proactive approach and commitment to continuous learning make him a valuable contributor to modern software testing teams.
“It saved me from all the guesswork! The tool provided a clear idea of my expected rank, helping me stay ahead in my admission planning.”
Somya
“A lifesaver! Helped me analyze my daughter's chances well before the results, reducing our stress and confusion.”
KRISH SACHDEVA
“Highly accurate and user-friendly! The predictions matched closely with actual results, making it a great tool for students”
Jaskamal singh
“The Careers360 Rank Predictor gave me a quick estimate of my rank. Super helpful in planning my next steps!”
Tanmay gupta
“Loved how easy and reliable this tool is! The AI predictions made it a must-use for every aspirant.”
Sahithya
“It saved me from all the guesswork! The tool provided a clear idea of my expected rank, helping me stay ahead in my admission planning.”
Somya
“A lifesaver! Helped me analyze my daughter's chances well before the results, reducing our stress and confusion.”
KRISH SACHDEVA
“Highly accurate and user-friendly! The predictions matched closely with actual results, making it a great tool for students”
Jaskamal singh
“The Careers360 Rank Predictor gave me a quick estimate of my rank. Super helpful in planning my next steps!”
Tanmay gupta
“Loved how easy and reliable this tool is! The AI predictions made it a must-use for every aspirant.”
Sahithya
“It saved me from all the guesswork! The tool provided a clear idea of my expected rank, helping me stay ahead in my admission planning.”
Somya
“A lifesaver! Helped me analyze my daughter's chances well before the results, reducing our stress and confusion.”
KRISH SACHDEVA
“Highly accurate and user-friendly! The predictions matched closely with actual results, making it a great tool for students”
Jaskamal singh
Please provide a fresh and accurate sample sheet that I can upload to the CMS for result testing. Currently, I am getting the same predicted result for different percentile inputs, so I am unable to categorize the results into good, bad, or average.
