M
User4204336
★★★★★
2026-11-07
Materiali e finiture sono buoni. L’articolo è pratico.
Ripple Fisher BIG TUNA 76 Japan Special
$299.00
$388.7
30% OFF
Flash Sale ends in
00d
00h
00m
00s
100% Authentic · Money-back guarantee
Free Express Shipping · 2-5 day delivery
30-Day Free Returns
6-Month Quality Warranty
Product Details
Description
Specifications
Care Guide
Ripple Fisher
BIG TUNA 76 JAPAN Special
This is an authentic product purchased new from a professional shop.
It is an unused item that has not been opened from its bag, as I have not had the opportunity to use it since purchase.
I have kept it as part of my collection, but I am listing it due to various circumstances.
Please check the images for the condition.
⸻
■Specifications (as listed on the tag)
・Length: 7'6
・Line: PE8-12
・Lure: 60-180g
・Action: Regular Fast
・Japan Special Model
⸻
■Notes
We kindly ask that you refrain from price negotiations.
I am listing this item because I can no longer use it due to various circumstances.
I would like to pass this rod on to someone who will cherish and use it.
Although it is an unused item, it has been stored privately.
Please refrain from purchasing if you are sensitive about such matters.
To prevent replacement, returns and refunds will not be accepted under any circumstances.
Please understand and agree to these terms before purchasing.
Category
Rod
Brand
Ripple Fisher
Condition
New/unused
Shipping
Included in price (by seller)
From
Unspecified
Daily Cleaning: Use a soft brush or damp cloth to gently wipe away dirt. Avoid harsh chemicals. For mesh areas, use diluted mild detergent and a soft brush.
Drying: Air dry in a cool, shaded place after cleaning. Avoid direct sunlight or high heat, which can cause fading and glue deterioration.
Storage: Stuff with paper to maintain shape when not in use. Store in a dry, ventilated area to prevent mold. Rotate between multiple pairs to extend lifespan.
Usage Notes: Designed for basketball. Not recommended for hiking, long-distance running, or other specialized sports where different performance features are required.