Opened the showProfile portraits of the recorded opener and closer; not runway-look photography.
Maryling
Women’s runway show
Maryling S/S 2023 Runway Show
- Date
- September 24, 2022
- City
- Milan
- Fashion week
- Milan Fashion Week S/S 23 Women's
- Brand Q Rating
- 20
Maryling presented Maryling S/S 2023 Runway Show in Milan on September 24, 2022. FashionDB records 11 models in the cast, with Heloisa Marques opening.
11Unique modelsCanonical profile IDs
10 female / 1 maleRecorded gender mixUnknown values retained
0Current Top 10011 of 11 ranked · Aug 2, 2026
0FashionDB newcomersFirst recorded runway show
28.5Average age2 of 11 with birth data
20Brand Q RatingMethodology
First and final looks
Opener and closer
Opened the showComplete cast
The complete record
Cast
11 unique models recorded
11 shown
Cast signals
Highlights and analysis
Rank, profile, and relationship data from one computed snapshot.
Highest-ranked
- Elodie Leune#1299 in FashionDB
- Talia Ferralis#2230 in FashionDB
- Lila Pankova#2405 in FashionDB
- Martyna Wilkiel#2740 in FashionDB
Most experienced with Maryling
- Lara Biroli7 recorded Maryling shows
- Elodie Leune4 recorded Maryling shows
- Ashanti Hildreth4 recorded Maryling shows
- Heloisa Marques4 recorded Maryling shows
No FashionDB newcomers are recorded in this cast.
11 of 11 models had appeared for the brand before.
Cast composition
- Cast size
- 11
- Current Top 100
- 0 · 0%
- Brand debuts
- 0
- Returning models
- 11
- Average / median age
- 28.5 / 28.5
- Average women’s height
- 5′ 10″ · n=9
- Average men’s height
- 5′ 10″ · n=1
- Profile-image coverage
- 10 of 11
Recorded gender
11 models in the denominator; unknown values remain visible.
Top nationalities
11 models in the denominator; unknown values remain visible.
Most represented agencies
11 models in the denominator; unknown values remain visible.
- Cast size
- 11 now · 11 previous
- Current Top 100
- 0 now · 0 previous
- Newcomers
- 0 now · 0 previous
Cast overlap requires a comparable-show identity set and is not available in this source response.