Official Recruitment Benchmarks Empirical Sample Size: 100,000+ Aspirants

National Competitive Exam Expected Cutoffs & Normalization Hub

Empirical category cutoff projections, shift difficulty benchmarks, and safe target scores calibrated from verified candidate scorecards across Indian Central, Banking, State PSC, and Engineering examinations.

Active Examination Cutoff Directories

Central Govt Group B & C Sample: 24,850+

SSC CGL 2026 (Tier-1)

Conducted by: Staff Selection Commission (SSC)

UR Expected Cutoff: 138 – 143
Recommended Safe Score: 146+
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Public Sector Banking (Probationary Officer) Sample: 18,400+

IBPS PO 2026 (Prelims)

Conducted by: Institute of Banking Personnel Selection (IBPS)

UR Expected Cutoff: 52.5 – 56.0
Recommended Safe Score: 58+
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Public Sector Banking (Junior Associates - Customer Support & Sales) Sample: 35,400+

SBI Clerk 2026 (Prelims)

Conducted by: State Bank of India (CRPD)

UR Expected Cutoff: 71.5 – 76.0
Recommended Safe Score: 78+
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Indian Railways Non-Technical Popular Categories Sample: 31,200+

RRB NTPC 2026 (CBT-1)

Conducted by: Railway Recruitment Boards (RRB)

UR Expected Cutoff: 68.0 – 74.0
Recommended Safe Score: 76+
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Uttar Pradesh State Govt Group C Positions Sample: 16,700+

UPSSSC PET 2026

Conducted by: Uttar Pradesh Subordinate Services Selection Commission

UR Expected Cutoff: 64.0 – 68.5
Recommended Safe Score: 71+
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PSU Recruitment & M.Tech Admissions Sample: 7,800+

GATE 2026 (Mechanical)

Conducted by: Indian Institute of Technology (IIT)

UR Expected Cutoff: 31.5 – 33.5
Recommended Safe Score: 72+ for PSU
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Cutoff Calculation & Normalization Methodology

How are expected cutoffs calculated on श्रेणीUP?

Expected cutoffs are empirically calibrated from verified aspirant scorecards, commission vacancy quotas, candidate volume trends, and official shift-wise standard deviation variance models.

What is the difference between raw cutoff marks and safe target score?

The raw cutoff is the minimum projected threshold to qualify for the next stage. The safe target score includes a 5-8% statistical buffer to withstand negative normalization deltas in easier shifts.

How does multi-shift score normalization impact the final category cutoff?

Under commission normalization formulas (SSC mean-variance, IBPS equi-percentile, RRB percentile), candidates in tougher shifts receive upward adjustments, which shifts the aggregate category qualification curve.

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