2Pcs Cotton Linen Blend Long Sleeve V-neck Shirt + Pants- Men
SPECIFICATIONS
Sleeve Length(cm): Full
Brand Name: NoEnName_Null
Collar: V-Neck
Pattern Type: Solid
Style: Beach
Material: POLYESTER
Place Of Origin: China (mainland)
Applicable Scene: Casual
Applicable Season: summer
CN: Guangdong
Closure Type: none
Out Side Length: long
Origin: Mainland China
Material Composition: linen blend
Gender: MEN
Pant Closure Type: Elastic Waist
Choice: yes
semi_Choice: yes
Details:
*TagSize:S~2XL,Please make sure that these actual measurements will fit you.
Size Chart (1 inch=2.54cm) | ||||||
Tag Size |
S |
M |
L |
XL |
2XL |
|
Bust |
cm |
109 |
115 |
121 |
127 |
134 |
inch |
42.9 |
45.3 |
47.6 |
50.0 |
52.8 |
|
Shoulder |
cm |
46 |
48 |
50 |
52 |
54 |
inch |
18.1 |
18.9 |
19.7 |
20.5 |
21.3 |
|
Sleeve |
cm |
61 |
62 |
63 |
64 |
65 |
inch |
24.0 |
24.4 |
24.8 |
25.2 |
25.6 |
|
Top length |
cm |
75 |
76 |
77 |
78 |
79 |
inch |
29.5 |
29.9 |
30.3 |
30.7 |
31.1 |
|
Waist |
cm |
66-76 |
70-80 |
74-84 |
78-88 |
82-92 |
inch |
26.0-29.9 |
27.6-31.5 |
29.1-33.1 |
30.7-34.6 |
32.3-36.2 |
|
Hip |
cm |
109 |
114 |
119 |
124 |
129 |
inch |
42.9 |
44.9 |
46.9 |
48.8 |
50.8 |
|
Pants length |
cm |
94 |
96 |
98 |
100 |
102 |
inch |
37.0 |
37.8 |
38.6 |
39.4 |
40.2 |
|
Measured before being stretched,known as Laid Flat Data, Please allow 1~2cm deviation |
* Item Fabric:50%Cotton and linen
* Item Color:White,Black,Blue(As pictures show)
* Item Features:Men 2-Pieces Cotton Linen Set Shirt Long Sleeve And Casual Beach Pants
* Item Description:
Applicable gender:Men
Product Category:Suit
Clothing Length:Long
Style:Vintage
Application:1*T shirt+1*Pants(Other items not included)
How to choose proper size?
1) Use similar garment to 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.