SSC GD Marks Normalisation 2026

SSC GD Marks Normalisation 2026: The Staff Selection Commission (SSC) organises the SSC GD exam in multiple shifts on different exam days. The difficulty level of the paper varies with the shifts. SSC wants to organise the paper in a fair way by adopting the SSC GD marks normalisation.

This method is adopted for the candidates who have faced a tough or easy shift. These normalised marks are the ones that are used to create the final result and the merit list. For the SSC GD 2026 exam, the commission will use a new, more transparent system called the Equipercentile Method for normalisation.

What is SSC GD Marks Normalisation?

Marks Normalisation is a scientific method used to adjust the scores of candidates who take an exam in multiple sessions or shifts.

The main idea behind this method is simple:

• If your shift had a more difficult paper compared to others, your marks might be increased after normalisation.

• If your shift had an easier paper, your marks might be slightly decreased after normalisation to bring everyone to a common level.

This ensures that a candidate’s chance of selection depends only on their performance, not on the difficulty of their specific exam shift.

SSC GD Normalisation Marks 2026 Method

Step 1: Calculation of Percentile Scores

This first step is completed separately for each shift to measure a candidate's performance relative to others in their specific session.

• Count Candidates (N): Record the total number of candidates who actually appeared in the shift.

• Sort Marks: Sort all candidates in that shift in decreasing order of their raw marks.

• Count Lower Scores (m): For a candidate with raw marks T, count the number of candidates in that shift whose raw scores are less than or equal to T. This number is $m$.

• Calculate Percentile (P): The percentile score (P) for this candidate is calculated using the formula:

Step 2: Combining Data and Interpolation

This step brings all shifts together based on percentile, allowing for scores from one shift to be considered equivalent to scores from another.

• Combine Data: Concatenate (combine) the data from all sessions. The separate percentile columns are merged into a single percentile column. The raw scores for each shift must be kept in separate columns (e.g., "Raw Score S1," "Raw Score S2," etc.).

• Sort by Percentile: All records are sorted in decreasing order of the combined percentile scores.

• Fill Blank Entries (Interpolation): The blank entries in the shift-wise "Raw Score" columns are filled using linear interpolation. This is done to assign an equivalent raw score for a given percentile across all shifts.

Step 3: Calculation of the Normalised Score

This final step defines the unique normalised score for each candidate.

• Average Equivalent Scores: For any candidate with a percentile value $P$, identify the set of equivalent raw scores from the different sessions (obtained in Step 2).

• Calculate Normalised Score (Z): The final normalised score.

SSC GD Normalisation Marks 2026 PDF Download

Candidates can get the SSC GD Normalisation Marks 2026 related details provided in the PDF format. It is an officially released document by the Staff Selection Commission informing candidates regarding the normalisation method. 

SSC GD Normalisation Marks 2026 PDF Download