Cobra Ladies RADSPEED Fairway Wood

Reference: GO-29032

Utilizing weight savings from a thinner Carbon Crown design, COBRA engineers were able to free up more discretionary weight to position it forward and increase ball speed. Using strategic Radial Weighting in each model, COBRA engineers were able to create three distinct performances. Each fairway features COBRA’s signature Baffler Hollow Split Rails, which increase flexion on the leading edge by 70% to increase speed while still providing excellent turf interaction.

Quantity
Tento produkt nelze objednat

RADSPEED Fairway - features a traditional shape with a balance of front and back Radial Weighting (16 g in the front & 7 g in the back) to deliver ultra-low spin, with high launch and forgiveness.  A CNC Milled Infinity Face makes its way into the RADSPEED fairway for the first time, creating a face design that is up to 5 times more precise than hand-polished fairways. 

Specifications

Club LoftLoft Settings
-1.5° / -1.0° / -1.0° Draw / STD° / STD° Draw / +1.0° / +1.0° Draw / +1.5°
Head
Volume
Lie
Angle
Length with
COBRA CONNECT
Length with
Standard Grip
Swing
Weight
Stock
Flex
RH/LH
3 FWY 17.0° / 17.5° / 17.5° Draw / 18.5° / 18.5° Draw / 19.5°  / 19.5° Draw / 20.0° 158cc 58.75° 42.00" 41.75" C4 Ladies RH/*LH
5 FWY 21.0° / 21.5° / 21.5° Draw /  22.5° / 22.5° Draw / 23.5°  / 23.5° Draw / 24.0° 156cc 59.50° 41.50" 41.25" C4 Ladies RH/*LH
7 FWY 24.0° / 24.5° / 24.5° Draw /  25.5° / 25.5° Draw / 26.5°  / 26.5° Draw / 27.0° 154cc 60.25° 41.00" 40.75" C4 Ladies RH


Shaft & Grip Options
Lamkin Crossline (58R) Cobra Connect - Black

Equipped with COBRA CONNECT™ Powered by Arccos, the award-winning smart golf system that helps players of all skill levels make smarter, data-driven decisions. Electronically enabled sensors are embedded into the grip, automatically recording the distance and accuracy of every shot so golfers can track performance round-to-round and use analysis to improve practice sessions. Golfers also have access to Arccos Caddie, which utilizes Artificial Intelligence to make better on-course decisions. 

Reference
GO-29032

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