TrainingBras.com records brand sizing as structured data instead of treating every label as interchangeable. This first release starts with four brands that illustrate very different sizing models: specialist youth sizing, alpha sizing, band/cup sizing and mass-market mixed sizing.
Brands in the foundation database
Bleuet
Numeric youth-to-women bridge sizing (6 through 24) using band and bust measurements; many core bras are primarily band-sized.
View structured profile →Yellowberry
Alpha sizing across its training-bra range, with product charts using underbust and overbust measurements.
View structured profile →BRABAR
Traditional band-and-cup framework supported by underbust and bust measurements.
View structured profile →Hanes
Mixed sizing depending on product: alpha sizing for many wireless bras and bralettes, plus band/cup sizing on some adult styles.
View structured profile →What we normalize
For each brand we separate sizing system, published measurement range, style/construction attributes, product-level exceptions, source URL and last verified date. That is the minimum structure required before a responsible cross-brand translator can exist.
| Brand | Primary sizing model | Why it matters |
|---|---|---|
| Bleuet | Numeric youth-to-women bridge | Shows how a brand can map garment sizes to band/bust measurements. |
| Yellowberry | Alpha / training-bra sizing | Shows measurement-backed XS–larger-size training-bra logic. |
| BRABAR | Band + cup | Represents conventional measurement-based bra sizing. |
| Hanes | Mixed, product dependent | Demonstrates why product-level data are required for broad brands. |
What comes before translation
A useful translator cannot simply say “Brand A Small = Brand B Small.” It needs overlapping underbust/bust ranges, style stretch, support intent, and exceptions. The database foundation is built first so the translator can use these records without inventing equivalence where none has been published.