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Mens Slim FIT Stretch Chino Trousers Casual Flat Front Flex Classic Full Pants Menswear Garment

4.2(5)
21 sold

Customer reviews (5)

F**n **
F**n **
Item: Black, M
nice.. but i should get L instead
July 16, 2024
M** C**Y 6**
M** C**Y 6**
Item: Khaki, 2XL
Is not stretch but quite ok
Product Review of Mens Slim FIT Stretch Chino Trousers Casual Flat Front Flex Classic Full Pants Menswear Garment from M** C**Y 6** 0
September 3, 2024
M** C**Y 6**
M** C**Y 6**
Item: Black, 2XL
Thanks seller
Product Review of Mens Slim FIT Stretch Chino Trousers Casual Flat Front Flex Classic Full Pants Menswear Garment from M** C**Y 6** 0
September 3, 2024
L** Y**i
L** Y**i
Item: Khaki, 4XL
Normal track pants. No zip or buckle
August 10, 2024
F**n **
F**n **
Item: Khaki, M
nice
July 16, 2024

About this product

MaterialsAS DETAIL

Product description

Product Introduction of Mens Slim FIT Stretch Chino Trousers Casual Flat Front Flex Classic Full Pants Menswear Garment 0
Details:
*Tag Size:M-4XL,Please make  for sure that these actual measurements will fit you.
Product Introduction of Mens Slim FIT Stretch Chino Trousers Casual Flat Front Flex Classic Full Pants Menswear Garment 3
* Item Fabric: Polyester
* Item Color:Grey,Black,Khaki(As pictures show)
* Item Features:Mens Pants,Casual Pants,Trousers,Simple,Pocket,Breathable,Outdoor,Sports,Soft,Daily,Business
* Item Condition:Brand New
* Item Description:
1) Applicable gender:Male
2) Length:Full Length
3) Type:Pants
4) Theme:Classic
5) Pattern:Solid
6)Applicable Scene:Daily
7)Brand:Unbranded
8)Season:Summer,Fall,Spring
9)Theme:Daily,Sports,Beach
10)Theme:Sports
* Package Contents:1*Pants(Other items not included)
How to choose proper size?
1) Use  garment  compare with the sizes
2) Choose larger sizes if your sizes are same as the flat measurement size chart
Notes:
1, The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
2, Please allow slight (±2Cm)manual measurement deviation for the data.

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