Toronto Maple Leafs Blankets Sherpa Blanket Throw Blanket

The toronto maple leafs blankets sherpa blanket throw blanket is a product made from 100% high-quality polyester fibers, available in two types: fleece and sherpa blanket. The toronto maple leafs blankets sherpa blanket throw blanket provides a warm and soft feeling when used. The toronto maple leafs blankets sherpa blanket throw blanket comes in 3 sizes for your convenience: 30 x 40 in (Baby Blanket), 50 x 60 in (Throw Blanket), and 60 x 80 in (Queen Blanket). With these different sizes, you can easily use it on a sofa, chair, bed, floor, in a car, or even outdoors. The toronto maple leafs blankets sherpa blanket throw blanket is simple to clean and can be tumble dried at normal temperatures.

Feature

• Material & Design: Made from 100% high-quality polyester fibers, the blanket comes in two main types: fleece and sherpa, providing you with an extremely soft and warm feeling. It features sturdy stitching and 3D HD printing.
• Layer: The fleece blanket is designed as a single layer, while the sherpa blanket is thicker and designed with two layers.
• Multi-Functions: The blanket is suitable for use on a sofa, chair, bed, floor, or in a car, and is also easy to take outdoors. This cozy and lightweight blanket will keep you warm and comfortable in any season.
• Sizes & Colors: The blanket is available in three sizes: 30 x 40 IN, 50 x 60 IN, and 60 x 80 IN to meet your specific needs. With a variety of colors to choose from, you will easily find a blanket that matches your decor.
• Easy Care: Machine washable at temperatures below 30 degrees and can be tumble dried at low temperatures. It retains its color and does not shed.

Size Chart

Note

Please keep the following points in mind:

• Due to folding for shipping, there may be temporary folding marks, which do not indicate a quality issue.
• As the size is manually measured, there might be a slight dimension difference of 1 cm – 3 cm.
• The product’s color may vary slightly due to lighting and the production batch.