Soybean Nourishing Sheet Mask vs Soybean Panthenol Mask
Soybean Nourishing Sheet Mask — Pick the Soybean Nourishing Sheet Mask — it leads these groups: Formula 2
Tap a group name to see the proof · The scoring method is public
The short answer
Soybean Nourishing Sheet Mask wins this comparison with a score of 29/100, ahead of Soybean Panthenol Mask (27).
The main differences: Ingredient count (26 vs 40) · Ingredients to avoid (17 vs 20).
Scores are computed from 12 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.
At a glance
0–100 per group, normalized within the category · Tap a group for details
How to choose
Pick the Soybean Nourishing Sheet Mask if you care about…
- Ingredient count 26 +14 vs 40
- Ingredients to avoid 17 +3 vs 20
Best price now
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Where they differ
2 · Only rows that actually differ, with a verdict per row
| Soybean Nourishing Sheet Mask | Soybean Panthenol Mask | Where they differ | |
|---|---|---|---|
| Ingredient count | 26 | 40 | Soybean Nourishing Sheet Mask |
| Ingredients to avoid | 17 | 20 | Soybean Nourishing Sheet Mask |
The record
Grouped and collapsible · Tap a group to fold
Formula4▾
| Soybean Nourishing Sheet Mask | Soybean Panthenol Mask | |
|---|---|---|
| Ingredient count | 26 | 40 |
| Star ingredients | 1 | 1 |
| Ingredients to avoid | 17 | 20 |
| Fragrance-free | ✓ | ✓ |
Actives8▾
| Soybean Nourishing Sheet Mask | Soybean Panthenol Mask | |
|---|---|---|
| Niacinamide | — | — |
| Hyaluronic acid | — | — |
| Vitamin C | — | — |
| Ceramides | ✓ | ✓ |
| Retinoid | — | — |
| Salicylic acid | — | — |
| AHA exfoliants | — | — |
| Clay | — | — |
Data sources: INCIDecoder
FAQ
Which is better, Soybean Nourishing Sheet Mask or Soybean Panthenol Mask?
Soybean Nourishing Sheet Mask edges ahead 29 to 27 and leads in Formula.
What are the main differences?
The main differences: Ingredient count (26 vs 40) · Ingredients to avoid (17 vs 20).
How are the scores calculated?
We normalize 12 public spec attributes within the category and weight them by group into a 0–100 score; missing values are inherited from spec-identical twins or imputed at the category median, so a sparse spec sheet never earns an advantage. The methodology is public.