CSAB College Predictor With Real Cutoff Data

Unlike generic predictors that rely on rough estimates, our CSAB College Predictor is built on real, round-wise closing rank data from recent JoSAA and CSAB counselling cycles — covering every NIT, IIIT, and GFTI, across every category and quota combination.

When you enter your rank and category, the tool compares your position against this real historical data to show which institute-branch combinations are realistically within reach, rather than giving a vague, one-size-fits-all answer.

"Real cutoff data" specifically means closing ranks sourced directly from the official round-wise allotment results published by JoSAA and CSAB each counselling year — not synthetic estimates, not averages smoothed across unrelated years, and not figures scraped from unverified third-party sources. Each closing rank in our database corresponds to an actual seat that was allotted to an actual candidate in a specific institute-branch-category-quota combination, in a specific round (R1 through R6 for JoSAA, SR1/SR2 for CSAB).

This matters because the alternative — a predictor built on rough, estimated or outdated figures — can give a false sense of security or unnecessarily discourage a candidate from applying to a college-branch that is genuinely within reach. For example, a GFTI's home-state quota cutoff for a specific branch can differ by tens of thousands of ranks from its other-state quota cutoff for the exact same branch; an estimate-based tool that ignores this distinction can mislead a candidate either way.

1. Source extraction: Round-wise allotment data is pulled directly from JoSAA's and CSAB's official published result PDFs/portals after each round concludes.
2. Structuring: Each row is parsed into institute, branch, category, quota (Home State/Other State/All India), gender pool (common/female-only), and the closing rank for that specific combination in that specific round.
3. Multi-year aggregation: Data across recent counselling cycles is retained separately by year, so trend direction (tightening/relaxing) can be shown rather than a single blended number that hides year-to-year movement.
4. Validation: Figures are cross-checked against the officially published PDF brochures to catch transcription errors before they reach the predictor.
5. Prediction logic: When you submit your rank and category, the tool matches against the most recent relevant round's closing rank for every institute-branch-quota combination you're eligible for, and tags each as a high/moderate/low chance based on the margin between your rank and that historical cutoff.