How MBA Call Predictions Work: A Guide to Predictive Analysis

Understanding Predictive Analysis for MBA Admissions

MBA call predictions are based on **predictive modeling** using 3 years of publicly available RTI (Right to Information) data from Indian B-schools.

What the Model Does

1. **Collects historical cutoff data** from RTI responses filed with IIMs and other top B-schools

2. **Weights your profile** across academics, work experience, exam scores, and diversity factors

3. **Computes a composite score** using each college's published or estimated formula

4. **Compares against 3-year cutoff trends** to estimate call likelihood

Important Disclaimer

These are AI-generated predictions calculated from publicly available RTI data and predictive modeling. They are **not official cutoffs**. byteXL is not responsible for admission outcomes.

Phase 1: Pre-CAT Predictions

Before CAT results, predictions are based on your expected percentile range and historical cutoff patterns.

Phase 2: Post-CAT Composite

After CAT, your actual score feeds into each college's composite formula — weighting academics, work experience, gender diversity, and more.

Phase 3: GDPI Conversion

The final phase estimates the GDPI score you need to convert a call into an admission offer.