Shimano Stradic SWB 5000XGX vs Daiwa 23 NINJA LT LT3000-CX

The selected categories are different, score metrics vary from category to another.

Shimano Stradic SWB

Seafishing

64.30 out of 100

Value for money4 out of 5

Quality classGood

Durability8.7 out of 10

Ergonomics5.77 out of 10

Gear ratio6.2:1

Maximum drag13kg / 28.66lbs

Weight440g / 15.52oz

Line retireve per crank105 centimeter / 41.34 inch

Ball bearings7

Technical Specifications

BrandSHIMANO
The main category of the reelSeafishing
Price range~ €211.33
Is saltwater resistantYes
Spare spoolNo
Reel size5000XG
Handle typeSingle handle
Drag typeFront drag
Handle orientationLeft, Right
Line capacity monofilmm/meter: 0.33/200

Daiwa 23 NINJA LT

Spinning

64.80 out of 100

Value for money3 out of 5

Quality classLow

Durability3 out of 10

Ergonomics6.2 out of 10

Gear ratio5.7:1

Maximum drag10kg / 22.05lbs

Weight240g / 8.47oz

Line retireve per crank80 centimeter / 31.5 inch

Ball bearings4

Technical Specifications

BrandDAIWA
The main category of the reelSpinning
Price range~ €51.33
Is saltwater resistantNo
Spare spoolNo
Reel sizeLT3000-C
Handle typeSingle handle
Drag typeFront drag
Handle orientationLeft, Right
Line capacity monofilmm/meter: 0.23/150

Conclusion

Both Shimano Stradic SWB 5000XGX and Daiwa 23 NINJA LT LT3000-CX perform at a similar level overall, so the better choice depends on what matters more to you, Shimano Stradic SWB 5000XGX offers a durability of 8.7 out of 10, while Daiwa 23 NINJA LT LT3000-CX stands out for a gear ratio of 5.7:1. Your decision should be guided by your fishing style and target species.

What's the difference between Shimano Stradic SWB and Daiwa 23 NINJA LT?

Shimano Stradic SWB 5000XGX

Built tough for the salt, ideal for seafishing.

Daiwa 23 NINJA LT LT3000-CX

A fast gear ratio of 9 out of 10 (5.7:1), means the reel is built for speed and it's perfect for active retrieves, and quick follow ups
6.43 out of 10 (80 centimeter / 31.5 inch) in line retrieve, means the reel delivers a steady and reliable retrieve which is ideal for most everyday techniques