JEE Rank Predictor

Statistical normalization · Neural prediction · Batch-trained

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Test parameters

180 · 198 · 300
leave blank for auto

Prediction

Predicted percentile
Estimated rank
Est. topper score
stat. estimate
Difficulty
avg / max marks
Above avg by
raw marks

Normalization pipeline

difficulty = avg / max
est. topper gap norm
est. topper
dynamic k
sigma σ
z-score
x norm (vs topper)
↓ RankNet
percentile
⚠ Score is at or below class average. Model has limited data in this range — treat with caution.
⚠ Score exceeds estimated topper. Clamped to topper — you're likely in the top 1%.
⚠ Paper difficulty is outside training range. Prediction confidence is lower.
✓ Score is well above average. Prediction confidence is high.