JEE Main Percentile & Rank Predictor
Estimate your All-India Rank from your raw score before official results are out.
Calculator
Why This Calculator Works
Step 1. In-Session Percentile
NTA's official formula is:
$$ \text{Percentile} = (100 \times \text{number of candidates with raw score} \leq \text{yours}) \div \text{total in session} $$
Since session-wise rankings are based on raw marks, this tool uses indicative data to estimate your percentile before normalization.
Step 2. All-India Rank = Ceiling of percentile ranking
Simplified estimator:
$$ \text{Rank} \approx ( (100 - \text{percentile}) / 100 ) \times \text{total two-session test-takers} $$
This assumes equal weight across sessions since NTA normalizes and ranks candidates using session percentiles.
How It Works – Behind the Scenes
Raw scores are built from $+4$ per correct MCQ, $-1$ per incorrect MCQ, and $0$ for unanswered or numerical-type questions (no negative marking). JEE Main runs in multi-shift mode. The National Testing Agency (NTA) uses a subject-by-subject equi-percentile normalization to make scores comparable across all shifts.
The final NTA score you see is based on this normalization; percentile is computed to seven decimal places to break ties.
Table: Raw Marks → Percentile → All-India Rank (Indicative)
| Marks (out of 300) | Approx. Percentile | Typical Rank Range |
|---|---|---|
| 290–300 | 99.9990–100 | 1–20 |
| 280–289 | 99.998–99.997 | 20–60 |
| 270–279 | 99.995–99.997 | 60–130 |
| 250–269 | 99.950–99.995 | 530–2,500 |
| 220–249 | 99.9–99.95 | 2,700–6,500 |
| 200–219 | 99.8–99.9 | 4,700–12,000 |
| 150–179 | 98–99 | 16,000–45,000 |
| 120–149 | 95–98 | 44,000–225,000 |
| 90–119 | 90–95 | 80,000–350,000 |
Why This Stands Tall
Data-driven: Based on up-to-date data modeling from past JEE Main sessions.
Transparent logic: You can see exactly how percentile and rank are computed.
Exclusive Focus: Designed specifically for JEE Main exam predictions.
Frequently Asked Questions (FAQ)
Percentage is based on your raw marks out of 300. Percentile represents the percentage of candidates who scored equal to or less than you in your session. It's a measure of relative performance, not an absolute score.
The estimate is highly accurate for high percentiles (99.9+). For lower percentiles, the rank spread is broader, so the estimate serves as a strong guide rather than a precise number due to tie-breaking rules and normalization.