Swami Ramanand Tirth Rural Govt. Medical College Ambajogai NEET Cutoff 2026: official cutoff not released; expected Round 1 ranges are below
The official NEET 2026 cutoff for Swami Ramanand Tirth Rural Govt. Medical College Ambajogai has not been released by the counselling authorities. The following are expected MBBS rank ranges for Round 1 and likely closing ranks based on previous-year trends.
Swami Ramanand Tirth Rural Govt. Medical College Ambajogai NEET Cutoff 2026 — AI quota expected ranges
M.B.B.S. expected cutoffs for the All India (AI) quota are listed category-wise. These are estimates; final allotment will depend on your NEET 2026 rank and applicable reservation.
| Category | Round 1 (Expected range) | Closing rank (Expected range) |
|---|---|---|
| General (AI) | 11701-13885 | 11701-23230 |
| OBC (AI) | 12494-14161 | 12494-23367 |
| SC (AI) | 68859-88247 | 68859-125269 |
| ST (AI) | 96572-116783 | 96572-138812 |
| EWS (AI) | 11904-16534 | 11904-23740 |
Swami Ramanand Tirth Rural Govt. Medical College Ambajogai NEET Cutoff 2026 — HS quota expected ranks
For the Home State (HS) quota, expected M.B.B.S. ranks for NEET 2026 are narrower and shown below. These reflect past patterns and may shift when official lists are out.
| Category | Expected HS rank |
|---|---|
| General (HS) | 26320 |
| OBC (HS) | 32160 |
| SC (HS) | 99086 |
| ST (HS) | 259490 |
| EWS (HS) | 28324 |
Allotment depends on your NEET 2026 performance, the quota you apply under (AI or HS), and category reservation rules. Candidates must appear in NEET 2026 and participate in round-wise counselling to be considered for seat allotment.
These expected ranges cover only Round 1 and closing-rank estimates. No official cutoff date or detailed seat matrix has been published yet by the counselling authority for this college. The figures above are provided to help candidates gauge the rank likely needed for MBBS at Ambajogai in 2026.
Watch for the official cutoff release from the counselling authority and state admission bodies. Until then, treat these numbers as indicative estimates drawn from previous-year trends and category-wise movement.