Video summary
SSC CGL (Tier-1) Cut-off 2026 👍 Category Wise || 2.5 Lakh Student Data 💯 Safe Score ✅
Main summary
Key takeaways
Summary
The presenter estimates SSC CGL Tier-1 cut-offs by category using answer-key data from roughly 225,000 candidates. These are predictions, not official cut-offs. He says the actual cut-off could be lower, while a substantially higher figure would likely require a large normalization increase.
Estimated cut-offs
The presenter’s predicted ranges, described as being after normalization, are:
- General/UR: 126–128
- OBC: 120–122
- EWS: 120–122
- SC: 112–113
- ST: approximately 105–106
He advises candidates to consider their exam shift when assessing their prospects. Candidates in a moderate or difficult shift may benefit from normalization, while those in the easiest shift may be disadvantaged. He suggests comparing their marks with the estimates in light of their shift.
Data and reasoning
- The estimate is based on aggregated answer-key data from about 225,000 candidates, which the presenter says can be checked through Rank Mitra or similar sites.
- In the data he cites:
- 7,774 candidates scored 150 or above.
- About 61,334 candidates scored 125 or above.
- He estimates that around 100,000 candidates scored 110 or above.
- He cautions that the data may change as more reliable candidate results become available, and that some submitted scores may be inaccurate.
- Objections could lead to questions being removed or corrected. If questions are dropped, candidates’ scores—and potentially the presenter’s own—could fall. He mentions a possible issue with one or two reasoning questions.
- He says he may prepare for the Mains examination and invites candidates who qualify to follow along.
Speakers and sources
- Presenter: An unnamed male speaker; the video is attributed to the Mahesh Chopra channel.
- Data sources: Aggregated answer-key submissions from approximately 225,000 candidates, checked via Rank Mitra or similar sites.
Rate this summary
Your feedback will help improve summaries.
Improve this summary
Reprocess with a stronger model when the summary feels incomplete or inaccurate.
Translate summary in another language
Ask questions to this video
Chat for follow-up questions, clarifications, and source-backed answers.