SSC CGL 2026 Expected Cut Off | Category-wise + Shift-wise | Safe Score कितना? |Shubham Sir

Summary

Shubham Sir presents an unofficial estimate of the SSC CGL Tier 1 cutoff, with category-wise and shift-wise considerations, expectations for the AAO cutoff, and guidance on what score may be sufficient to move on to Tier 2. He repeatedly emphasizes that these are estimates, not official results, and that no single cutoff number should be treated as certain.

Main points

• Cutoffs depend on more than a candidate’s raw score. Because the exam was held across many shifts, normalization may affect candidates differently depending on their shift and performance relative to others in that shift.
• There is no single “safe score” for every candidate. A score that is sufficient in a harder shift may not be sufficient in an easier one. Candidates should consider their category and shift, rather than relying only on an overall cutoff figure.
• The speaker cites the 2025 normalized cutoffs for context, including UR at 136.40 and OBC at 130.37. He expects the upcoming cutoff to be in a broadly similar range if vacancies and other conditions remain comparable. The transcript preserves an estimate of roughly 139 for UR and places the AAO cutoff around 147–148. Other category estimates are not reliably recoverable from the subtitles.
• The video also includes shift-wise raw-score estimates, but the exact figures in those tables are not legible in the subtitle transcript. The speaker says most shifts may differ from the estimates by a few marks, while some could vary more substantially.

How the speaker explains normalization

The speaker uses a simplified example:

1. Imagine three shifts: one harder, one moderate, and one easier.
2. Compare candidates at the same percentile in each shift.
3. In the example, the corresponding marks are 178, 168, and 160. Their average is about 168.67, illustrating how marks may be adjusted toward an equivalent score.

The adjustment is not a fixed bonus or penalty. It can vary by shift and score level; marks may increase or decrease, and candidates in the same shift may be affected differently. Assumptions such as “a hard shift always adds a certain number of marks” or “higher raw scores always gain more” are therefore unreliable.

This is an explanatory illustration, not a full technical specification of SSC’s normalization process.

Factors that could change the estimate

The speaker says the cutoff could change if important assumptions shift, including:

• The final number of vacancies or their category-wise distribution.
• The number of candidates SSC chooses to qualify for Tier 2.
• Changes to questions, answer keys, or marks awarded for disputed questions.
• The distribution of candidate performance across shifts.
• The normalization outcome for individual shifts.

The estimates are based on data from roughly three lakh candidates, along with past trends and available answer-key data. Since this does not represent the full population of exam candidates, the actual result may differ.

AAO and UR-category explanations

• The speaker discusses the AAO cutoff separately, noting that AAO vacancies and the number of candidates qualifying for that post can affect the cutoff. He estimates it at around 147–148, while cautioning that it could change.
• He clarifies that UR (unreserved) is not a category reserved only for candidates who do not belong to a reserved group. Candidates from reserved categories may be included in the unreserved merit list if they meet the applicable open-category criteria. Therefore, UR selection numbers should not be interpreted as the total number of candidates from other categories.

Advice to candidates

• Use the estimates as a planning guide, not a promise about the result.
• Do not wait for the result before deciding whether to prepare for Tier 2. If you are near the estimated cutoff, the speaker recommends continuing your preparation.
• Leave room for uncertainty, especially if vacancies or other assumptions change.
• Do not rely on a cutoff screenshot without its context. The speaker asks viewers to share the video link alongside any figures so the shift-wise and normalization caveats are not lost.

The latter part of the video also promotes the channel’s test series, courses, study plans, and free typing and practice resources.

Speakers and sources featured

• Shubham Sir — the presenter and cutoff analyst.
• Rank Mitra — identified by the presenter as a source of candidate data.
• RBE data — the presenter’s channel or platform dataset, discussed alongside broader candidate data.
• SSC answer-key and historical exam data — used as inputs for the analysis. The subtitles do not present an official SSC cutoff announcement.