How the IIM Call Predictor Works
The predictor uses crowd-sourced admission data from real CAT aspirants. It analyzes your percentile, reservation category, gender, work experience, and academic background to estimate shortlist probability at each IIM.
Unlike generic cutoff tables on Shiksha or CollegeDunia, this predictor uses actual outcome data reported by aspirants who received or did not receive calls.
Why Category and Work Experience Matter
IIM shortlisting is not just about percentile. IIM A, B, and C each have different weightage formulas. Some give significant weight to work experience. Category cutoffs differ by 10-15 percentile points. Gender diversity factors also play a role.
What You Can Do With Results
Prioritize college applications. If chances at IIM A are low but IIM L and K are strong, focus GDPI preparation accordingly. The predictor shows which profile improvements would most improve your chances.
Data Sources and Accuracy
Powered by 21 verified outcomes from real aspirants across multiple CAT years. Each includes percentile, category, work-ex, academics, and actual IIMs that sent calls. Accuracy improves as more aspirants contribute.