AdmiScan Maharashtra NEET Research
AdmiScan analysed 3,664 verified cutoff rows across 47 Maharashtra colleges, 38 published categories and Rounds 1, 2 and 3. This page compares category-level median closing AIR with exact matched-key movement so that the two measures are not confused.
3,664
verified cutoff rows
47
colleges
38
published categories
19
Tier-A category profiles
R1, R2 and R3 columns are aggregate category medians for that round. The matched percentage column is calculated separately using exact college-programme-seat-group-category keys present in both R1 and R3.
| Category | Colleges | R1 median AIR | R2 median AIR | R3 median AIR | Matched R1→R3 | Median matched % | Relaxed / tightened |
|---|---|---|---|---|---|---|---|
| OPEN | 47 | 26,843 | 29,093 | 29,968 | 46 | +22.15% | 46 / 0 |
| OBC | 47 | 35,055 | 37,186 | 37,555 | 46 | +5.93% | 43 / 0 |
| SC | 47 | 123,040 | 132,620 | 133,256 | 46 | +8.16% | 46 / 0 |
| ST | 47 | 296,887 | 299,118 | 306,212 | 46 | +2.92% | 38 / 1 |
| EWS | 47 | 51,663 | 53,197 | 53,197 | 46 | +3.93% | 35 / 1 |
| SEBC | 46 | 36,223 | 36,948 | 36,948 | 46 | +5.60% | 38 / 0 |
| NTC | 47 | 34,237 | 36,258 | 36,594 | 46 | +4.12% | 33 / 1 |
| NTD | 35 | 31,932 | 32,206 | 32,626 | 34 | +5.68% | 22 / 1 |
| NTB | 45 | 79,811 | 84,621 | 84,621 | 45 | 0.00% | 6 / 0 |
| VJA | 44 | 61,591 | 63,770 | 63,770 | 43 | 0.00% | 14 / 1 |
Women's category codes remain separate rather than being pooled into the corresponding non-women category. This preserves the categories exactly as represented by the verified counselling data.
| Category | Colleges | R1 median AIR | R2 median AIR | R3 median AIR | Matched R1→R3 | Median matched % | Relaxed / tightened |
|---|---|---|---|---|---|---|---|
| OPEN (W) | 46 | 24,907 | 27,782 | 28,939 | 45 | +24.04% | 45 / 0 |
| OBC(W) | 46 | 35,422 | 36,516 | 36,516 | 45 | +7.42% | 39 / 0 |
| SC (W) | 46 | 124,685 | 130,352 | 135,508 | 45 | +11.27% | 40 / 2 |
| ST (W) | 45 | 288,989 | 297,206 | 304,588 | 45 | +4.48% | 32 / 2 |
| EWS(W) | 46 | 47,462 | 51,247 | 52,337 | 45 | +5.74% | 33 / 2 |
| SEBC(W) | 46 | 35,204 | 36,635 | 37,037 | 45 | +3.79% | 31 / 1 |
| NTC(W) | 42 | 36,335 | 39,591 | 39,591 | 42 | +4.11% | 26 / 3 |
| NTD(W) | 28 | 24,941 | 26,920 | 29,533 | 28 | +9.62% | 17 / 0 |
| VJA (W) | 41 | 56,693 | 57,219 | 57,219 | 41 | 0.00% | 15 / 0 |
Aggregate round median: describes the middle closing AIR among all available keys for one category in one round.
Matched movement: compares only the same college, programme, seat group and category between two rounds. This is the safer statistic when the question is how the same published cutoff key changed over time.
The two values should therefore not be subtracted from each other or interpreted as interchangeable.
This study covers the verified Maharashtra 2025 MBBS/BDS cutoff dataset for government, government-aided and corporation institutions represented by the GOVERNMENT seat group. It does not claim to describe private or minority cutoff behaviour.
PWD and defence categories are retained in the underlying evidence but are not used as the main headline comparison here. Narrow-category behaviour can be much more volatile than the large mainstream category profiles.
A higher historical closing AIR means that a published cutoff extended to a numerically higher rank in that observation. It does not guarantee that the same movement will occur in a future counselling year.
Candidates should verify current rules, eligibility, seat matrices and notices directly with the Maharashtra State CET Cell NEET-UG portal.
Across the supported government-seat dataset, the aggregate OPEN median closing AIR was 26,843 in Round 1, 29,093 in Round 2 and 29,968 in Round 3. Among 46 exact R1-to-R3 matched keys, the median percentage movement was +22.15%, and all 46 matched keys relaxed to a higher closing AIR.
Among the headline profiles shown in this study, OPEN (W) had the largest median matched R1-to-R3 percentage movement at +24.04%, followed by OPEN at +22.15%. This is historical 2025 evidence, not a prediction for a future round.
Aggregate medians describe all available category keys in each individual round. Matched movement uses only the exact college, programme, seat-group and category keys present in both compared rounds. Because the populations differ, the two statistics answer different questions.
No. The analysed cutoff scope is the verified Maharashtra government, government-aided and corporation MBBS/BDS dataset represented by the GOVERNMENT seat group. Private or minority cutoff behaviour should not be inferred from this page.