# Masha Popova Fall 2026 Menswear Runway

Source: https://tfashion.ai/runway/fw26/menswear/designers/masha-popova
Data refreshed: October 2, 2026

Masha Popova showed 4 menswear looks for FW26 in London. The collection leaned on full length jeans (50% of looks), abstract (50% of looks) and denim (50% of looks). Main colors: black, smoke and midnight blue.

- Looks: 4
- Share of all London menswear looks: 0.9%

## Trends in the collection

| Trend | Type | Looks | Share of the collection |
|---|---|---|---|
| [Full Length Jeans](https://tfashion.ai/runway/fw26/menswear/london/full-length-jeans) | Key items | 2 | 50% |
| [Wide Leg Pants](https://tfashion.ai/runway/fw26/menswear/london/wide-leg-pants) | Key items | 1 | 25% |
| [Top Collar Jacket](https://tfashion.ai/runway/fw26/menswear/london/top-collar-jacket) | Key items | 1 | 25% |
| [Abstract](https://tfashion.ai/runway/fw26/menswear/london/abstract) | Key patterns | 2 | 50% |
| [Denim](https://tfashion.ai/runway/fw26/menswear/london/denim) | Key fabrics | 2 | 50% |
| [Jersey](https://tfashion.ai/runway/fw26/menswear/london/jersey) | Key fabrics | 1 | 25% |
| [Satin](https://tfashion.ai/runway/fw26/menswear/london/satin) | Key fabrics | 1 | 25% |

All 16 trends of the collection are in T-Fashion.

## Runway looks

- Look 7: https://assets.tfashion.ai/v3/images/fashion-weeks/shows/fall-winter-2026/london/masha-popova/ready_to_wear_womenswear/photos/0007-cf4c407b.jpg?format=auto&width=640
- Look 10: https://assets.tfashion.ai/v3/images/fashion-weeks/shows/fall-winter-2026/london/masha-popova/ready_to_wear_womenswear/photos/0010-58ed0786.jpg?format=auto&width=640
- Look 15: https://assets.tfashion.ai/v3/images/fashion-weeks/shows/fall-winter-2026/london/masha-popova/ready_to_wear_womenswear/photos/0015-8ddedf29.jpg?format=auto&width=640
- Look 17: https://assets.tfashion.ai/v3/images/fashion-weeks/shows/fall-winter-2026/london/masha-popova/ready_to_wear_womenswear/photos/0017-5e25f6c5.jpg?format=auto&width=640

This page is a preview. Every look, the full ranking and the designer and city breakdowns are in T-Fashion: [get access](https://tfashion.ai/book-demo).