FellowesTechnical Specification MatrixAnalysis Date: 7 November 2026Evaluated at £278
Fellowes LX Series Paper Shredder LX200 12 Sheet Mini Cut Shredder with 22 Litre Pull Out Bin Advanced Security P4
Comprehensive hardware specifications and benchmark performance analysis.
5.6/ 10
Andote Tech Score
Evaluated at £278
Price-Tier Avg: 6.8/10
Rated on 7 November 2026
Looking to purchase or compare prices?
View verified retailer listings, price drop alerts, and full customer ratings for LX Series Paper Shredder LX200 12 Sheet Mini Cut Shredder with 22 Litre Pull Out Bin Advanced Security P4.
Relative Benchmark Scoring (1–10)
vs Price Tier CompetitorsBin Capacity22GB
Hardware Spec Score
5.4/10(Average)
Price-to-Value Efficiency
5.4/10(Average)
Duty Cycle10
Hardware Spec Score
4.1/10(Below Average)
Price-to-Value Efficiency
4.1/10(Below Average)
Sheet Capacity12
Hardware Spec Score
4.0/10(Below Average)
Price-to-Value Efficiency
4.0/10(Below Average)
Cut Size4
Hardware Spec Score
7.8/10(Very Good)
Price-to-Value Efficiency
7.7/10(Very Good)
Weight9380g
Hardware Spec Score
7.7/10(Very Good)
Price-to-Value Efficiency
7.7/10(Very Good)
How We Calculate This Score
Our objective rating combines Hardware Spec Quality (measuring real-world component power benchmarked across the entire category on a 1–10 scale) with a Price-to-Value Index (evaluating technical capability relative to selling price). User reviews and merchant sponsorships do not influence this score.
Score Deciding Factors6 Key drivers
✓Competitive Price£278
Favorable price-to-performance ratio in categoryHigh Value
!Modest Bin Capacity22L
Entry-level benchmark rating limits overall score5.4/10
✕Limited Duty Cycle10.0
Significantly below category average benchmark4.1/10
✕Limited Sheet Capacity12.0
Significantly below category average benchmark4.0/10
•Standard Cut Size4.0
Solid standard benchmark for category7.8/10
•Standard Weight9.38kg
Solid standard benchmark for category7.7/10
Complete Technical Specifications
Manufacturer-verified hardware specifications with contextual AI metric explanations.