Toga
Women’s runway show
Toga S/S 2023 Runway Show
- Date
- September 19, 2022
- City
- London
- Fashion week
- London Fashion Week S/S 23 Women's & Men's
- Brand Q Rating
- 29
Toga presented Toga S/S 2023 Runway Show in London on September 19, 2022. FashionDB records 3 models in the cast.
7,661 views as recorded · snapshot date unavailable
3Unique modelsCanonical profile IDs
3 maleRecorded gender mixUnknown values retained
0Current Top 1003 of 3 ranked · Aug 3, 2026
0FashionDB newcomersFirst recorded runway show
27Average age1 of 3 with birth data
29Brand Q RatingMethodology
7.7KRecorded stream viewsSnapshot date unavailable
Complete cast
The complete record
Cast
3 unique models recorded
3 shown
Cast signals
Highlights and analysis
Rank, profile, and relationship data from one computed snapshot.
Highest-ranked
- Akito Mizutani#1155 in FashionDB
- Jahmal John Baptiste#3163 in FashionDB
- Sethu Ncise#6719 in FashionDB
Most experienced with Toga
- Akito Mizutani1 recorded Toga shows
- Sethu Ncise1 recorded Toga shows
- Jahmal John Baptiste1 recorded Toga shows
First time at Toga
- Akito MizutaniFirst recorded Toga appearance
- Sethu NciseFirst recorded Toga appearance
- Jahmal John BaptisteFirst recorded Toga appearance
No FashionDB newcomers are recorded in this cast.
3 of 3 models made their first recorded appearance for the brand.
Cast composition
- Cast size
- 3
- Current Top 100
- 0 · 0%
- Brand debuts
- 3
- Returning models
- 0
- Average / median age
- 27 / 27
- Average women’s height
- — · n=0
- Average men’s height
- 6′ 2″ · n=3
- Profile-image coverage
- 3 of 3
Top nationalities
3 models in the denominator; unknown values remain visible.
Most represented agencies
3 models in the denominator; unknown values remain visible.
- Cast size
- 3 now · 11 previous
- Current Top 100
- 0 now · 0 previous
- Newcomers
- 0 now · 3 previous
Cast overlap requires a comparable-show identity set and is not available in this source response.
Credits
Creative team
People are combined once when multiple roles are recorded.
Film and imagery